Способ и устройство для отображения изображений

Изобретение относится к технологиям отображения изображений. Технический результат заключается в повышении скорости обработки изображения. Способ содержит: преобразование изображений в группе изображений в полутоновые изображения; для каждого из изображений в группе изображений определение первого числа и второго числа пикселов на основании полутонового изображения, соответствующего исходному изображению, причем первое число, в котором каждый пиксел имеет уровень яркости меньший, чем первый порог яркости, и второе число, в котором каждый пиксел имеет уровень яркости больший, чем второй порог яркости, присутствуют в полутоновом изображении, соответствующем исходному изображению; определение первого отношения первого числа к общему числу пикселов в полутоновом изображении и второго отношения второго числа к общему числу; определение параметра качества тоновой характеристики изображения на основе первого отношения и второго отношения и выбор из группы изображений, на основании параметров качества ...

СПОСОБ И УСТРОЙСТВО ДЛЯ ГЕНЕРИРОВАНИЯ РЕГИСТРАЦИОННОЙ ЗАПИСИ СОБЫТИЯ

Изобретение относится к вычислительной технике, а именно к области широковещательной передаче спортивных состязаний. Техническим результатом является ускорение автоматического детектирования места, где произошло событие, что позволяет пользователю быстрее перейти к соответствующим кадрам. Способ генерирования регистрационной записи событий для игровых событий, ассоциированных с физическим объектом, присутствующим в спортивном событии. Способ включает в себя этап отслеживания в пределах последовательности видеоизображений особенностей изображения, которые соответствуют соответствующим физическим объектам в спортивном событии. Далее согласно способу отображают на устройстве отображения последовательность видеоизображений, которая включает отслеживаемые особенности изображения. Выбирают из отслеживаемых особенностей изображения первую отображаемую особенность изображения, которая соответствует одному из физических объектов, для обозначения этого физического объекта в качестве выбранного физического ...

УСТРОЙСТВО И СПОСОБ ДЛЯ ОПИСАНИЯ, КОДИРОВАНИЯ, ХРАНЕНИЯ И ПОИСКА ИЗОБРАЖЕНИЙ ПО ИХ ГЕОМЕТРИИ

... 1. Способ описания изображения по совокупности форм, который содержит следующие этапы: формирование оптического спектра преобразования Фурье для изображения с использованием светового излучения, пространственную фильтрацию светового излучения, исходящего от упомянутого спектра преобразования Фурье с использованием поворачивающейся щели для формирования фильтрованного спектра светового излучения, измерение интенсивностей светового излучения, распределенного в упомянутом фильтрованном спектре, при дискретных угловых положениях упомянутой щели, и сохранение упомянутых интенсивностей светового излучения, измеренных в упомянутом фильтрованном спектре, вместе с дискретным угловым положением щели, при котором эти интенсивности светового излучения измерены. 2. Способ по п.1, в котором осуществляют измерение упомянутых интенсивностей светового излучения, распределенного в фильтрованном спектре, при помощи расщепления светового излучения на два идентичных парных фильтрованных спектра, причем каждый ...

ФРЕЙМВОРК ПРИЕМА ВИДЕО ДЛЯ ПЛАТФОРМЫ ВИЗУАЛЬНОГО ПОИСКА

Изобретение относится к сетевому компьютеризированному приложению для получения, обработки, анализа и приема видео медиаконтента. Технический результат заключается в обеспечении доступа к контенту посредством платформы визуального поиска. Такой результат достигается тем, что изобретение включает в себя фреймворк и способ для обеспечения возможности преобразования видеоконтента в формат, который обеспечивает возможность для отображения и отсюда идентификации отдельных секций (сегментов сцен или иного) медиаконтента. Оно включает в себя средство приема изображений и видеокадров в базу данных. Потребительские продукты могут быть сопоставлены с изображениями и/или объектами на изображениях. Потребитель может осуществить доступ к контенту посредством подачи цифрового изображения, снятого на мобильное устройство. Один или более объектов на поданном пользователем изображении могут быть сопоставлены с продуктами и/или коммерческими/рекламными материалами. 4 н. и 6 з.п. ф-лы, 5 ил.

СПОСОБ И УСТРОЙСТВО ДЛЯ КЛАССИФИКАЦИИ ИЗОБРАЖЕНИЙ

ОСНОВАННЫЙ НА ПРАВИЛАХ АНАЛИЗ ВАЖНОСТИ ВИДЕО

СПОСОБ И ТЕРМИНАЛ СОПОСТАВЛЕНИЯ ИЗОБРАЖЕНИЙ ПО АДРЕСНОЙ КНИГЕ

СПОСОБ, УСТРОЙСТВО И ТЕРМИНАЛ ДЛЯ ФОРМИРОВАНИЯ МИНИАТЮРЫ ИЗОБРАЖЕНИЯ

СИСТЕМЫ И СПОСОБЫ СОЗДАНИЯ И ОТОБРАЖЕНИЯ ИНТЕРАКТИВНЫХ ТРЁХМЕРНЫХ ПРЕДСТАВЛЕНИЙ РЕАЛЬНЫХ ОБЪЕКТОВ

СПОСОБ УПРАВЛЕНИЯ УСТРОЙСТВОМ ОБРАБОТКИ ИЗОБРАЖЕНИЯ

Способ и устройство для отображения изображений

ИДЕНТИФИКАЦИЯ ИЗОБРАЖЕНИЯ И ОРГАНИЗАЦИЯ СОГЛАСНО МАКЕТУ БЕЗ ВМЕШАТЕЛЬСТВА ПОЛЬЗОВАТЕЛЯ

... 1. Способ, содержащий этапы, на которых:запускают один или более модулей для исполнения на вычислительном устройстве;в ответ на запуск, генерируют критерии автоматически и без вмешательства пользователя посредством исполнения одного или более модулей вычислительным устройством;отбирают изображения с использованием сгенерированных критериев автоматически и без вмешательства пользователя посредством исполнения одного или более модулей, причем отобранные изображения идентифицируются из множества разных источников изображений, которые ассоциированы с пользователем; иобеспечивают отображение отобранных изображений устройством отображения из состава вычислительного устройства автоматически и без вмешательства пользователя посредством исполнения одного или более модулей.2. Способ по п. 1, в котором один или более модулей включены как часть приложения, и упомянутый запуск выполняется для исполнения приложения.3. Способ по п. 1, в котором один или более модулей включены как часть операционной системы ...

Verfahren zum Lokalisieren eines automatisierten Kraftfahrzeugs

Verfahren zum Lokalisieren eines automatisierten Kraftfahrzeugs, aufweisend die Schritte: – Vorgeben einer zu erzielenden Lokalisierungsgenauigkeit für das automatisierte Kraftfahrzeug während des Betriebs, wobei vom Kraftfahrzeug Lokalisierungsreferenzdaten für einen definierten Ort mit der definierten zu erzielenden Lokalisierungsgenauigkeit angefordert und an das automatisierte Kraftfahrzeug übermittelt werden; – Erfassen von Umgebungsdaten des automatisierten Kraftfahrzeugs mittels einer Sensoreinrichtung (10) des automatisierten Kraftfahrzeugs und Verknüpfen der erfassten Umgebungsdaten mit Ortsinformation; – Lokalisieren des automatisierten Kraftfahrzeugs mittels der Lokalisierungsreferenzdaten und der erfassten Umgebungsdaten, wobei eine erreichte Lokalisierungsgenauigkeit ermittelt wird; wobei – die erreichte Lokalisierungsgenauigkeit zum Zwecke einer optimierten Übermittlung der Lokalisierungsreferenzdaten im Hinblick auf die zu erzielende Lokalisierungsgenauigkeit signalisiert ...

Apparatus for archiving still image data

In an image processing apparatus 2, input image data defining still images, such as photographs or discreet frames of video data, is stored in an archive database 50 as JPEG image data 502. Text data 520 is stored for each image comprising text to be associated with the image. Viewing information 540 is also stored for each image defining, for each person or animal in the image, the person, animal or object at which they are looking. Time information is also stored for each image defining the time at which the image was recorded. The storage of the text data 520 and the viewing information 540 facilitates the improved searching and retrieval of images from the archive database 50.

Navigation system for document database

An interactive database organization and searching system employs text search and image feature extraction to automatically group documents together by appearance. The system automatically determines visual characteristics of document images and collects documents together according to the relative similarity of their document images.

Authenticity verification of articles

Large-scale image tagging using image-to-topic embedding

A method of calculating the relevance of tags applied to images involves receiving an image 314 with associated tags, which may be user-applied tags. The tags are used to create a weighted word vector 218, also known as a soft topic vector, which represents the dominant concept among the keyword tags. Visual features 312 of the image may be used to create an image feature vector 310 which can then be aligned in a common embedding space. The aligned vectors can then be used to calculate a relevancy score for each tag as it pertains to the image. The visual features may be determined with a convolutional neural network. The weighted word and image feature vectors may be aligned using cosine similarity loss. Each tag may be assigned a word vector representation and a weighted average of the word vectors can then be used to generate the weighted word vector.

Compositing aware digital image search

Text-to-visual machine learning embedding techniques

In a machine learning model training environment, a plurality of text queries is received and used to initiate digital image searches 302 such that images selected by a user from the search results are received 304 and used to generate a training dataset 306. A model is trained based on a loss function 308 and the training dataset and used to generate a subsequent search result 310. The training dataset generation involves the selection of a positive and negative image sample from the plurality of images and the training involving the determination of a loss between a text embedding and the positive image sample embedding, and a text embedding and the negative image sample embedding. The training of the model may result in a single unified text-and-digital image embedding space based on the text queries and plurality of images. Generation of the training dataset may include generation of a title-based training dataset with titles associated with the images. The loss function may be a triplet ...

Electronic device with image capture command source identification and corresponding methods

An electronic device 100 receives, at a user interface, a command 106 to capture image(s); captures image(s) with an imager 107; identifies 108, with sensor(s), a source 102 of the command; and applies 117 a digital data identifier 119 to the image(s) identifying the source of the command. Identifying the source of the command may determine “who took the picture”; it may comprise capturing audio and comparing to reference audio; and/or it may comprise capturing image(s) of an object, scanning the object with a depth imager and comparing the image(s) to reference images and the depth scan to predefined facial maps. In another embodiment, an electronic device comprising imager(s) captures image(s) depicting a plurality of persons; identifies at least one person; receives a command to transmit the image(s) to a remote electronic device belonging to the at least one person; and alters a portion of the image(s) containing a depiction of the at least one person. In a third embodiment, an electronic ...

Image processing appatratus

Structured knowledge modeling, extraction and localization from images

Shape-based graphics search

Systems and methods for collecting and processing image data

Utilizing multiple object detection models to automatically select user-requested objects in images

PICTURE SEARCH DEVICE, - PROCEDURES AND PROGRAM

PROCEDURE FOR THE CHARACTERISATION OF A DIGITAL PICTURE AND APPLICATIONS FOR IT

Electronic device and method for outputting thumbnail corresponding to user input

An electronic device includes a display, a processor and a memory that stores an image file having image data. The image data includes at least one object and metadata. The metadata includes information about an area corresponding to the at least one object and identification information of the at least one object. The processor outputs the area of the image file, which includes the identification information corresponding to a user input as a thumbnail of the image file, in the display in response to the user input.

User interfaces for retrieving contextually relevant media content

The present disclosure generally relates to retrieving and displaying contextually-relevant media content. In some embodiments, a device receives a request to display contextually- relevant media and, in response, displays a representation of a collection of media items relevant to a context of the device. In some embodiments, a device displays a visual media item of a sequence of items and, in response to receiving a swipe gesture, displays a detail user interface comprising related content for the media item. In some embodiments, a device, while displaying a first detail user interface, displays an affordance corresponding to a plurality of individuals identified as having attended a first event, that when selected, causes display of visual media corresponding to a plurality of events attended by the individuals. In some embodiments, a device, in response to user input, obtains an automatically-generated collection of visual media and displays a corresponding affordance.

SHOW PERSONALIZED PREVIEW FOR 360 OR PANORAMIC IMAGES BASED ON SEARCH QUERY TO ENHANCE CUSTOMER EXPERIENCE BY PROVIDING THEM MOST RELEVANT VIEW OF IMAGES

Generating thumbnails from panoramic images is described. In one or more implementations, a 2D projection of a panoramic image is received and projected onto a 3D surface to generate a 3D projection. Portions of the 3D projection are formed, and each portion is projected to a 2D plane to generate 2D projections of the portions. Object recognition is then performed on the portions that identifies objects, attributes of the objects, and locations of the objects within the panoramic image. Responsive to an image search query matching one of the recognized objects, the system generates a thumbnail from the panoramic image specific to a portion of the panoramic image that contains the object and outputs the thumbnail. Generate a three-dimensional projection of a panoramic image. Form a plurality of portions from the three-dimensional projection of the panoramic image. Generate a plurality of two-dimensional projections for the plurality of portions by projecting a respective said portion onto ...

Similarity search engine for a digital visual object

The present invention provides a similarity search engine for a digital visual object (i.e., a digital image that represents a design, graphics, logo, symbols, words, or any combination thereof). The similarity search engine is based on a method that consists of conducting several independent search queries, thus each query examining a different aspect of similarity.

Technologies for enabling analytics of computing events based on augmented canonicalization of classified images

This disclosure discloses various computing technologies that enable a user to operate a browser to browse a web page that hosts a set of images and an operator of the web page to granularly track how the user is operating the browser with respect to the set of images based on various contextual information depicted in the set of images. Note that this disclosure is not limited to browsers and can be applied to other types of software applications, such as domain dedicated applications, such as e-commerce applications, photo gallery applications, encyclopedia applications, inventory applications, videogame applications, educational applications, social media applications, video streaming applications, or others, or others.

Visualization customization

In an example, a method may include generating a semantic layout of a visualization based on a contract associated with a visualization type. The method may also include receiving input effective to alter a set of one or more graphical objects to display for each of some but not all data objects of a data source from a default set of one or more graphical objects to a custom set of one or more graphical objects. The method may also include generating a concrete layout of the visualization that specifies the set of one or more graphical objects to display for each of the data objects, including the default set for a first data object and the custom set for a second data object. The method also includes displaying the visualization based on the contract, the semantic layout, and the concrete layout, the visualization having the visualization type.

Matching an approximately located query image against a reference image set

Aspects of the invention pertain to matching a selected image/photograph against a database of reference images (324) having location information. The image of interest may include some location information itself, such as latitude/longitude coordinates and orientation. However, the location information provided by a user's device (308, 310, 312) may be inaccurate or incomplete. The image of interest is provided to a front end server (502), which selects one or more cells (452, 454, 456) to match the image against. Each cell may have multiple images and an index. One or more cell match servers (504) compare the image against specific cells based on information provided by the front end server. An index storage server (506) maintains index data for the cells and provides them to the cell match servers. If a match is found, the front end server identifies the correct location and orientation of the received image, and may correct errors in an estimated location of the user device.

Data clustering methods and applications

AUGMENTED REALITY BASED COMPONENT REPLACEMENT AND MAINTENANCE

Augmented reality (AR) based component replacement and maintenance may include receiving a first wireless signal from a pair of AR glasses worn by a user. An image of a component viewed by the user may be analyzed and compared to a plurality of images of components stored in a database that includes information associated with the plurality of images of the components. Based on a match of the image of the component viewed by the user to one of the plurality of images of the components stored in the database, the component viewed by the user may be identified. An inventory of the identified component may be analyzed to determine whether a supplier includes the identified component in stock, and in response to a determination that the supplier includes the identified component in stock, an estimated time of delivery of the identified component to the user may be determined. a)) EC4 >~ 4 C --oi E F a) a - 0 C: c:jc a) m Q4O a)T E o c" ___ ___ __ 0) U) ~ ~ ~ C 0)co______ < a 2 a a) a)) Cl) ...

Systems and methods for real-time conversion of video into three-dimensions

Disclosed herein are systems and methods for enhancing a sequence of video images to add depth and presenting the enhanced images to the user through a lenticular lens arrangement on a display screen for viewing the enhanced images in three-dimensions (3D). The embodiments include the application of image enhancing algorithms which measure spatial and temporal differences between sequential images in an input video stream in order to measure depth within the images and produce one or more interleaved images with depth. Multiple sequential interleaved images may then be created in real-time as the images from the video stream are received, and the sequence of interleaved images may then be presented immediately as a video stream on a display fitted with a lenticular lens to effectively display a 3D video to the user.

SEMANTIC NATURAL LANGUAGE VECTOR SPACE FOR IMAGE CAPTIONING

In a digital media environment to facilitate management of image collections using one or more computing devices, a method to automatically generate image captions using word vector representations comprising obtaining a target image for caption analysis, applying feature extraction to the target image to generate attributes corresponding to the image, supplying the attributes to a caption generator to initiate caption generation and outputting by the caption generator a word vector in a semantic word vector space indicative of semantic relationships between words in sentences formed as a combination of the attributes, the word vector usable to generate a corresponding caption. Inventors: Wang et al. Title: Semantic Natural Language Vector Space Training Data 302 Images 304 Text 306 Image Captioning Framework 301 Extractor Module 308 Images Structured Semantic Image 304 Knowledge 310 Model Training Module 312 Machine Learning Module 31_4) Image Analysis Model 202 I Image Caption Generator ...

Systems and methods for segmenting medical images based on anatomical landmark-based features

The present disclosure relates to systems, methods, and computer-readable storage media for segmenting medical images. Embodiments of the present disclosure may relate to a method for segmenting medical images. The method may be implemented by a processor device executing a plurality of computer executable instructions. The method may comprise receiving an image from a memory, and identifying at least one landmark point within the image. The method may further comprise selecting an image point in the image, and determining at least one feature for the image point relative to the at least one landmark point. The method may also comprise associating the image point with an anatomical structure by using a classification model based on the at least one determined feature.

Systems and methods for segmenting medical images based on anatomical landmark-based features

The present disclosure relates to systems, methods, and computer-readable storage media for segmenting medical images. Embodiments of the present disclosure may relate to a method for segmenting medical images. The method may be implemented by a processor device executing a plurality of computer executable instructions. The method may comprise receiving an image from a memory, and identifying at least one landmark point within the image. The method may further comprise selecting an image point in the image, and determining at least one feature for the image point relative to the at least one landmark point. The method may also comprise associating the image point with an anatomical structure by using a classification model based on the at least one determined feature.

Weighted subsymbolic data encoding

Described herein is a method and system of geometrically encoding data including partitioning data into a plurality of semantic classes based on a dissimilarity metric, generating a subspace formed by first and second data elements, the first and second data elements being included in first and second numbers of partitioned semantic classes, encoding the first data element with respect to the second data element such that the generated subspace formed by the first data element and the second data element is orthogonal, computing a weight distribution of the first data element with respect to the second data element, the weight distribution being performed for each of the first number of semantic classes and the second number of semantic classes, and determining a dominant semantic class corresponding to an ordered sequence of the first data element and the second data element, the dominant semantic class having a maximum weight distribution.

Propensity model based optimization

Apparatuses, systems, methods, and computer program products are presented for a propensity module based optimization. A mobile computing device comprises one or more of a camera, a network interface, and an optimization module. The optimization module is configured to process one or more images from the camera to determine a likelihood that the one or more images will pass submission to a pass/fail interface over the network interface. The optimization module is configured to a corrective action for the one or more images in response to the likelihood failing to satisfy the threshold. 17410500 1 (GHMatters) P111494.AU.1 L108-t 108 _10_• _1 10 Data Network Optrnizaton 106 104b Optimization Module 104a Optimization 102 102[] 10.* OpiiainOptimization Optimization Module 104a Mtie za Module 104a ...

Apparatus and method for characterizing, encoding, storing, and searching imagesby shape

Image retrieval/distribution system and image retrieval/distribution method

PORTING VIRTUAL MACHINE IMAGES BETWEEN PLATFORMS

In an embodiment, an approach is provided that differences a source topology model associated with a source platform and a target topology model associated with a target platform. This differencing is performed by a processor and results in a topology difference. An operation in a workflow model is obtained from an asset library, the operation being associated with the topology difference. At least a portion of the asset library is stored in a persistent storage medium. The operation to deploy a portion of a solution is transmitted for deployment. The deployed portion of the solution includes a target image compatible with the target platform.

SYSTEMS AND METHODS FOR CREATING AND DISPLAYING INTERACTIVE 3D REPRESENTATIONS OF REAL OBJECTS

Systems and methods are disclosed for generating a 3D view of an object. At least a 360 degree view of an object is recorded by rotating the object or moving a camera around an object. The data can be used to generate a 3D view that allows users to rotate an item to see the corresponding images.

INFORMATION SEARCH SYSTEM, INFORMATION SEARCH METHOD, AND INFORMATION SEARCH PROGRAM

... [Problem] To automatically retrieve detection algorithm information for acquiring necessary spectrum data in discriminating a target event from a subject. [Solution] In retrieving necessary detection algorithm information in discriminating a target event from an imaged subject 10, input of information relating to the target event of the subject to be newly discriminated is received, reference is made to a first degree of linkage, of at least three stages, between detection algorithm information and each target event of the subject stored in an algorithm database 3; and at least one detection algorithm information item is retrieved on the basis of the information relating to the input target event.

INFORMATION RETRIEVAL SYSTEM AND METHOD USING A BAYESIAN ALGORITHM BASED ON PROBABILISTIC SIMILARITY SCORES

An algorithm is provided which uses a model-based concept of a cluster and scores items using a score representative of the probability that a given item has been generated from the same distribution as one or more query items. The items are represented by a feature vector xi comprising a plurality of digitally represented features xij the method including: receiving an input identifying the query items; for each of the other items computing a score which is a function of a conditional probability of the feature vectors xij of the query items being generated from the generating distribution formula (I) given that the respective other item is generated from the generating distribution formula (I) and returning a score for each of the other items, a list of some or all of the other items, sorted by their respective score, or a list of n other items which have the highest score.

IMAGE BASED SEARCH

Described is a system and method for enabling visual search for information. With each selection of an object included in an image, additional images that include visually similar objects are determined and presented to the user.

PLATFORM FOR CONSTRUCTING AND CONSUMING REALM AND OBJECT FEATURE CLOUDS

A computer-implemented method of providing a server-based feature cloud model of a realm includes receiving by a server a series of digital contributions that collectively originate from a plurality of remote computing devices, characterizing portions of the realm. The method also includes processing by the server the received digital contributions to associate them with a global coordinate system and storing the processed contributions in a realm model database as components of the feature cloud model of the realm. Finally, the method includes, in response to a query message over the Internet from a computing device of an end-user, serving, over the Internet by the server to the computing device, digital data defining a selected portion of the feature cloud model for integration and display by the computing device.

GEOGRAPHICALLY LOCALIZED RECOMMENDATIONS IN A COMPUTING ADVICE FACILITY

GEOGRAPHICALLY LOCALIZED RECOMMENDATIONS IN A COMPUTING ADVICE FACILITY

The present disclosure provides a geographically localized recommendation to a user through a computer-based advice facility, comprising collecting a recommendation from an Internet source, wherein the recommendation is determined to have an interestingness aspect and a geographic location aspect, comparing the collected recommendation to a derived user taste and the user's current geographic location, determining at least one recommendation for the user based on processing on the comparison, and delivering at least one recommendation to a user's mobile communications device, wherein the user is enabled to at least one of view, save, and share the recommendation via an application at least in part resident on the computer-based advice facility.

SYSTEM AND METHOD FOR RECOGNITION OF ITEMS IN MEDIA DATA AND DELIVERY OF INFORMATION RELATED THERETO

The system and method disclosed herein relate to the establishment of both the location and identity of individual items in pictures or videos. Once the one or more items in the picture/video are identified and matched to images in a reference database, the locations of the items are established and additional information relating to the items is accessed. Collectively, the position data and additional data is merged in the electronic pictures or videos and then provided to a user as a merged data stream. Additional functionality related to those identified items can occur when those identified locations are "pointed to", "clicked" or otherwise selected (e.g., purchase an item, request information, select another video stream, play a game, share the item, rate, "Like", and the like).

IMAGE FEATURE DATA EXTRACTION AND USE

... ²An apparatus and method for obtaining image feature data of an image are ²disclosed herein. ²A color histogram of the image is extracted from the image, the extraction of ²the color histogram ²including performing one-dimensional sampling of pixels comprising the image ²in each of a first ²dimension of a color space, a second dimension of the color space, and a third ²dimension of the color ²space. An edge map corresponding to the image is analyzed to detect a pattern ²included in the image. ²In response to a confidence level of the pattern detection being below a pre-²defined threshold, ²extracting from the image an orientation histogram of the image. And identify ²a dominant color of the ²image.² ...

SYSTEM AND METHOD FOR DATA DEDUPLICATION FOR DISK STORAGE SUBSYSTEMS

A method for data deduplication includes the following steps. First, segmenting an original data set into a plurality of data segments. Next, transforming the data in each data segment into a transformed data representation that has a band-type structure for each data segment. The band-type structure includes a plurality of bands. Next, selecting a first set of bands, grouping them together and storing them with the original data set. The first set of bands includes non-identical transformed data for each data segment. Next, selecting a second set of bands and grouping them together. The second set of bands includes identical transformed data for each data segment. Next, applying a hash function onto the transformed data of the second set of bands and thereby generating transformed data segments indexed by hash function indices. Finally, storing the hash function indices and the transformed data representation of one representative data segment in a deduplication database.

A system, method and computer for improved automated visual inspection of a physical material.

Ein Computer-implementiertes System (100) zur verbesserten automatisierten visuellen Inspektion eines physischen Guts enthält eine visuelle Inspektionseinrichtung (110), die in der Lage ist, Bilder des physischen Guts (105) zu erzeugen und eine Recheneinrichtung (120) aufweisend einen Prozessor und eine mit dem Prozessor verbundene Arbeitsspeichereinheit. Die Recheneinrichtung enthält eine Speichereinrichtung, die mit der Arbeitsspeichereinrichtung verbunden ist und mit dem Prozessor verbunden ist. Die Speichereinrichtung enthält wenigstens ein historisches Bild des physischen Guts und wenigstens ein Konstruktionsmodell, das im Wesentlichen das physische Gut darstellt. Die Recheneinrichtung (120) ist dazu eingerichtet, von einer aktuellen Bildquelle zumindest ein aktuelles Bild (115) des physischen Guts zu empfangen, das durch die visuelle Inspektionseinrichtung (110) aufgenommen wurde. Die Recheneinrichtung ist dazu eingerichtet, zumindest ein übereinstimmendes historisches Bild zu identifizieren ...

Hachage d'image perceptuel partiel pour la déconstruction de factures.

L'invention a pour objet un appareil et un procédé pour identifier le fournisseur dans une facture (101) en divisant la facture en trois régions (102-104) et en effectuant un hachage d'image perceptuel sur chaque section. Ensuite, une distance de Hamming est utilisée pour comparer la valeur de hachage de chaque section avec les valeurs de hachages de factures connues afin d'identifier le fournisseur qui a envoyé la facture.

SYSTEMS AND METHODS FOR COLLECTING AND PROCESSING IMAGE DATA

Photo album and address book mutual information correlation method and terminal

Image processing apparatus, Image processing method and storage medium

CODE INFORMAITON SYSTEM AND THE DRIVING METHOD

SYSTEM AND METHOD FOR PROVIDING SHOPPING INFORMATION

DEVICE AND METHOD FOR THE PICTURE RECORDING

método de etiquetagem de imagens e dispositivo de memória de dados

Cross-language search options

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for cross-language image search. One method includes receiving an image search query and image search results responsive to the image search query. Translations of the image search query into other languages are obtained, and search results responsive to each of the translations are received. Instructions are provided to a client device. The instructions cause the client device to present a user interface that includes one or more of the image search results responsive to the image search query and a cross-language search option for each of the translations. Each cross-language search option includes the translation and a preview of the image search results responsive to the translation.

Handwriting recognition tool

Some implementations may provide a method implemented on a processor, the method includes: receiving, on a computer host, an electronic document representing a pharmaceutical prescription; identifying constituent regions that include at least a first portion and a second portion within the electronic document; identifying first spatial frequencies for the first portion within the electronic document; identifying second spatial frequencies for the second portion within the electronic document; identifying a header based upon the first spatial frequencies; using the header to identify a prescriber; retrieving a profile for the prescriber; analyzing the second spatial frequencies using the profile for the prescriber; and creating, based upon analyzing the second spatial frequencies using the profile for the prescriber, a transaction record on the computer host for a medical transaction associated with the pharmaceutical prescription.

METHOD AND SYSTEM FOR AUTO MULTIPLE IMAGE CAPTIONING

A method and a system for automatically generating multiple captions of an image are provided. A method for training an auto image caption generation model according to an embodiment of the present disclosure includes: generating a caption attention map by using an image; converting the generated caption attention map into a latent variable by projecting the caption attention map onto a latent space; deriving a guide map by using the latent variable; and training to generate captions of an image by using the guide map and the image. Accordingly, a plurality of captions describing various characteristics of an image and including various expressions can be automatically generated.

Low-overhead image search result generation

A device may be configured to identify a plurality of images that are similar to a query image; generate a plurality of sets of rankings of the identified images based on a plurality of image attributes; compare the generated plurality of sets of rankings of the identified images to a reference set of rankings of images; select, based on the comparing, a particular set of rankings; and rank a plurality of images that are associated with another query image, based on an attribute associated with the selected particular set of rankings.

SYNCHRONIZING IMAGE SEQUENCES

As set forth herein, a computer-based method is employed to align a sequences of images. Metadata associated with images from two or more sources is received and a time stamp is extracted from the metadata. The images are sorted into sequences based at least in part upon the image source. The similarity of images from disparate sequences is measured and image pairs from disparate sequences with a similarity greater than a predetermined threshold are identified. A sequence of images is aligned by minimizing the misalignment of pairs.

Interpersonal relationships analysis system and method which computes distances between people in an image

An interpersonal relationships analysis method and system obtains an album comprising a plurality of photos, and recognize faces in each of the plurality of photos. The method and system further selects one of the recognized faces, matches the selected face with portraits stored in a person management database, so as to obtain basic information of a person with the selected face from the person management database. The method and system then analyzes an interpersonal relationship of the person with the selected face according to the album, and shows the interpersonal relationship of the person with the selected face.

System and method for recognition of items in media data and delivery of information related thereto

The system and method disclosed herein relate to the establishment of both the location and identity of individual items in pictures or videos. Once the one or more items in the picture/video are identified and matched to images in a reference database, the locations of the items are established and additional information relating to the items is accessed. Collectively, the position data and additional data is merged in the electronic pictures or videos and then provided to a user as a merged data stream. Additional functionality related to those identified items can occur when those identified locations are “pointed to”, “clicked” or otherwise selected (e.g., purchase an item, request information, select another video stream, play a game, share the item, rate, “Like”, and the like).

Object information derived from object images

Search terms are derived automatically from images captured by a camera equipped cell phone, PDA, or other image capturing device, submitted to a search engine to obtain information of interest, and at least a portion of the resulting information is transmitted back locally to, or nearby, the device that captured the image.

Hierarchical property storage

A property storage structure is provided that is configured to store properties for a display object. The property storage structure includes a property object that corresponds to a property of the display object. The property storage structure is identified according to a key (e.g., the key identifies the property object as a fill style object that corresponds to a fill style property for the display object). The property object hierarchically includes a value designating what type of object for the property object identified by the key (e.g., the fill style object includes a value that designates the fill style object as a solid color fill type).

User preferences based on categories of images

Methods and systems receive an image-processing request relating to user images from a user. Such methods and systems classify the user images into user-request image-element categories. Such methods and systems also retrieve previously stored user-specific preferences for the user-request image-element categories from a computer storage, when the previously stored user-specific preferences for the user-request image-element categories are maintained in the computer storage. However, when the previously stored user-specific preferences for the user-request image-element categories are not maintained in (are absent from) the computer storage, such methods and systems obtain additional user-specific preferences for the user-request image-element categories. Such methods and systems can then processes the image-processing request by altering renditions of the user images according to the previously stored user-specific preferences and/or the additional user-specific preferences.

Object Information Derived from Object Images

Search terms are derived automatically from images captured by a camera equipped cell phone, PDA, or other image capturing device, submitted to a search engine to obtain information of interest, and at least a portion of the resulting information is transmitted back locally to, or nearby, the device that captured the image.

Method and device for determining image similarity

The present application relates to method and device for determining image similarity that includes: dividing a target image into multiple regions based on positions of pixels relative to a reference point in the target image, and dividing a reference image into multiple regions based on positions of pixels relative to a reference point in the reference image; determining, based on feature points in the target image and feature points in the reference image as well as the regions obtained by dividing the target image and the regions obtained by dividing the reference image, similarity between a distribution of the feature points in the target image and a distribution of the feature points in the reference image. According to the method of the present application, the similarity is described more reasonably.

METHOD OF PROVIDING ADDITIONAL INFORMATION OF CONTENT, MOBILE TERMINAL AND CONTENT CONTROL SERVER

A method of providing additional information of content, a mobile terminal and a content control server are provided. A method of providing additional information of content, performed by a mobile terminal, may include acquiring a captured image of a digital signage terminal that is displaying content and transferring the captured image to a content control server, receiving additional information of the content for each of content areas of the mobile terminal, the content areas being mapped by an information providing server based on screen information of the digital signage terminal, and rendering the received additional information.

UPDATING ONLINE STORE INVENTORY BASED ON PHYSICAL STORE INVENTORY

A system for identifying products and tracking inventory in a retail store based on analysis of image data is provided. The system may comprise at least one processor configured to receive image data from a plurality of image sensors mounted in a retail store; analyze the image data to estimate a current inventory of at least one product type in the retail store; receive product supply information associated with the at least one product type in the retail store; determine that an online order from a virtual store made during a first time period will be fulfilled by an employee of the retail store during a second time period; determine a predicted inventory of the at least one product type during the second time period; and provide information to the virtual store regarding the predicted inventory of the at least one product type during the second time period.

VISUAL INTENT TRIGGERING FOR VISUAL SEARCH

Representative embodiments disclose mechanisms to perform visual intent classification or visual intent detection or both on an image. Visual intent classification utilizes a trained machine learning model that classifies subjects in the image according to a classification taxonomy. The visual intent classification can be used as a pre-triggering mechanism to initiate further action in order to substantially save processing time. Example further actions include user scenarios, query formulation, user experience enhancement, and so forth. Visual intent detection utilizes a trained machine learning model to identify subjects in an image, place a bounding box around the image, and classify the subject according to the taxonomy. The trained machine learning model utilizes multiple feature detectors, multi-layer predictions, multilabel classifiers, and bounding box regression.

METHOD FOR PROVIDING A CUSTOMIZED PRODUCT RECOMMENDATION

Included is a method for providing a customized product recommendation to a user. Images of people are collected from a database. A neural network is used to evaluate the images to identify a consumer trend. Information is collected from the user to determine if the user's style or desired style falls within the consumer trend. A product for the user is selected from at least two available products whose style falls within the consumer trend. The selected product is recommended to the user.

Photograph organization based on facial recognition

Photograph organization based on facial recognition is described. In one or more embodiments, a photograph organization module obtains multiple photographs having images of faces and recognizes the faces in the multiple photographs. The module builds a population by attempting to distinguish individual persons among the faces in the multiple photographs, with each person of the population corresponding to a group of multiple groups. After a first pass through the faces, the population includes a number of duplicative persons. With a second pass, the photograph organization module reduces the number of duplicative persons in the population by merging two or more groups of the multiple groups to produce a reduced number of groups. The merging is performed based on comparisons of the faces corresponding to the two or more groups. The multiple photographs are organized based on the reduced number of groups. Organization can include tagging or displaying grouped photographs.

Medical image processing apparatus and information retrieval apparatus

The retrieval of medical data from a database through easy operations without displaying components for retrieval operations on a display screen is realized. The present invention is a medical image processing apparatus comprising a data memory, a display, a position-designating part, a data-list-display controller, and a keyword-generating part. The data memory stores medical data associated with attributes data including patient identification information. The position-designating part designates a position on the display. The data-list-display controller causes the display to display a data list presenting the attributes data in a list. The keyword-generating part generates a retrieval key based on the attributes data in the data list corresponding to the position designated by the position-designating part. Moreover, the data-list-display controller updates the data list based on the results retrieved by the retrieval key.

ENSURING A DESIRED DISTRIBUTION OF IMAGES IN A MULTIMEDIA DOCUMENT UTILIZING FACIAL SIGNATURES

A method, system and computer program product for ensuring a desired distribution of images in a multimedia document (e.g., yearbook, slideshow). A desired distribution of facial signatures in a multimedia document to be created by the user is received. Upon receiving an image to be added to the multimedia document by the user, a facial signature for a face detected in the image is generated. The current number of instances of the facial signature in the multimedia document is then determined. A determination is then made as to whether the current number of instances of the facial signature meets the desired distribution. An indication is then provided to the user as to whether the current number of instances of the facial signature meets or does not meet the desired distribution. In this manner, the user can ensure a desired distribution of images in the multimedia document.

User authentication method and apparatus with adaptively updated enrollment database (DB)

A method and apparatus with an adaptively updated enrollment database (DB) are provided. A method with an adaptively updated enrollment database (DB) includes extracting an input feature vector from an input image, determining whether the input feature vector is included in a changeable enrollment range, with the changeable enrollment range being determined based on a threshold distance from each of plural enrolled feature vectors in the enrollment DB, and with the enrolled feature vectors corresponding to enrolled images, determining whether to enroll the input feature vector in the enrollment DB in response to the input feature vector being determined as being included in the changeable enrollment range, and in response to a result of the determining of whether to enroll the input feature vector being to enroll the input feature vector, selectively enrolling the input feature vector in the enrollment DB.

Image recognition method and device thereof

An image recognition method adapted to recognize a target image is provided. The method includes: providing the target image; training a learning database based on a plurality of feature blocks of the target image; randomly obtaining a plurality of incomplete feature blocks of the target image; adding the plurality of incomplete feature blocks into the learning database to form an enhancement learning database; and recognizing the target image based on the enhancement learning database. In addition, an image recognition device is also provided.

Thumbnail generation for digital images

Detecting a first facial region in a first image. Extracting the detected first facial region. Generating a first facial thumbnail based on the extracted first facial region for use in representing the first image.

Presenting image search results

A system and computer-implemented method is provided for organizing multiple user submitted results responsive to an image query. A plurality of content submissions may be received from a variety of submitting users, each content submission including an image and an associated label. An image query may provide an image of an object as a request to identify the object. In response to receiving the image query, one or more results of the plurality of content submissions may be identified. A similarity between the labels for each of the one or more results may be determined and used to group the one or more results. Grouped results may be ranked and sorted for accurate and concise presentation to a querying user.

Method of creating a container file for large format imagery and organizing data within the container file

A method of creating a container file for large format imagery and organizing data within the container file are described. In one embodiment, the method of creating the container file includes validating user input parameters for the file container, and determining whether the container file already exists, the container file having file container metadata. If the file container does not exist, creating the container by creating one or more empty records in a storage device, the one or more empty records having an image file section reserved for storing an image, an image metadata section reserved for storing data about the image and a record metadata section having at least a mark indicating that the image file section is empty. A size of the image file section, a size of the image metadata section and a size of the record metadata section are determined using the user input parameters.

Iterative image search algorithm informed by continuous human-machine input feedback

System and computer-implemented image search engine of analyzing tags associated with a sequence of images presented to a user to present a current object of interest of the user is disclosed. An image from among a plurality of images is presented on an electronic display. The image is associated with a set of tags. An input is received indicating a user's preference for the image. A plurality of tags is processed based on the preference and the set of tags to determine a next set of tags from the plurality of tags. A next image is determined from the plurality of images based on the next set of tags. The next image represents a physical object, different from a physical object represented by the previous image. A sequence of images is generated by repeating the above process with the next image in place of the previous image for present a user's current object of interest.

Dynamic thumbnail selection for search results

The present disclosure is drawn to methods and systems for providing a representative image for a search result in a search result listing of a searching system. At least one search result based on a search query is received. Each search result has a plurality of images. For each search result, a similarity score for at least some of the images is computed, based on a similarity with the search query. Then, at least one of the images is selected, on the basis of the similarity score, and the selected image is assigned as the representative image of the search result. A number of modification steps may be performed on the search result prior to computing the similarity score. The search result and assigned representative image may also be presented in a search result listing.

IMAGE RECOGNITION METHOD AND DEVICE THEREOF

An image recognition method adapted to recognize a target image is provided. The method includes: providing the target image; training a learning database based on a plurality of feature blocks of the target image; randomly obtaining a plurality of incomplete feature blocks of the target image; adding the plurality of incomplete feature blocks into the learning database to form an enhancement learning database; and recognizing the target image based on the enhancement learning database. In addition, an image recognition device is also provided.

System, method and computer program product for portable multimedia content display

A system, method and computer program product for performing a method for presenting multimedia data are disclosed. The method includes but is not limited to detecting insertion of a portable storage device into a first end user device; automatically launching transfer of multimedia data and Meta data describing the multimedia data from the first end user device to the portable storage device; transferring the multimedia data from the first end user device to the portable storage device; detecting insertion of the portable storage device into a second end user device; automatically launching transfer of multimedia data and Meta data describing the multimedia data from the portable storage device to the second end user device; and transferring the multimedia data from the portable storage device to the second end user device.

User intention modeling for interactive image retrieval

A system performs user intention modeling for interactive image retrieval. In one implementation, the system uses a three stage iterative technique to retrieve images from a database without using any image tags or text descriptors. First, the user submits a query image and the system models the user's search intention and configures a customized search to retrieve relevant images. Then, the system extends a user interface for the user to designate visual features across the retrieved images. The designated visual features refine the intention model and reconfigure the search to retrieve images that match the remodeled intention. Third, the system extends another user interface through which the user can give natural feedback about the retrieved images. The three stages can be iterated to quickly assemble a set of images that accurately fulfills the user's search intention. They system can be used for image searching without text tags, can be used for initial text tag generation, or can ...

Object Information Derived From Object Images

Search terms are derived automatically from images captured by a camera equipped cell phone, PDA, or other image capturing device, submitted to a search engine to obtain information of interest, and at least a portion of the resulting information is transmitted back locally to, or nearby, the device that captured the image.

SHARED NAVIGATIONAL INFORMATION BETWEEN VEHICLES

A system for vehicle to another party communications that includes a vehicle personality module adapted to create a vehicle personality and a communications system that utilizes the created vehicle personality for one or more communications instead of a user's profile. The one or more communications are associated with one or more of an identifier and an icon representing the vehicle personality, with this identifier and/or icon sent with at least one communication and displayable to the recipient of the communication.

VISUAL SEMANTIC COMPLEX NETWORK AND METHOD FOR FORMING NETWORK

A visual semantic complex network system and a method for generating the system have been disclosed. The system may comprise a collection device configured to retrieve a plurality of images and a plurality of texts associated with the images in accordance with given query keywords; a semantic concept determination device configured to determine semantic concepts of the retrieved images and retrieved texts for the retrieved images, respectively; a descriptor generation device configured to, from the retrieved images and texts, generate text descriptors and visual descriptors for the determined semantic concepts; and a semantic correlation device configured to determine semantic correlations and visual correlations from the generated text and visual descriptor, respectively, and to combine the determined semantic correlations and the determined visual correlations to generate the visual semantic complex network system.

SONG SELECTION USING A HEART RATE CHANGE AND A FACIAL EXPRESSION MONITORED WITH A CAMERA

A method, a computer program product, and a computer system for selecting songs using a heart rate change, a blood pressure change, and a facial expression of a listener. A computer receives a song from a music source selected by a listener and determines whether the song is appropriate. The computer starts to play the song, in response to determining that the song is appropriate. A camera connected to the computer detects a facial expression of the listener. The computer determines whether the facial expression is positive. In response to determining that the facial expression is positive, the computer the song in full. The camera connected to the computer detects a heart rate change and a blood pressure change of the listener. The computer tags the song with updated information.

MONITORING SHELVES WITH PRESSURE AND LIGHT SENSORS

A system for monitoring planogram compliance on a store shelf is disclosed. The system may include a plurality of detection elements and a processor. The processor may be configured to receive first signals from a first subset of detection elements after a plurality of products are placed on the store shelf, and use the first signals to identify at least one pattern associated with a product type of the products. The processor may further be configured to receive from a second subset of detection elements second signals indicative of no products being placed on at least one area of the store shelf, and use the second signals to determine at least one empty space on the store shelf. The processor may also be configured to determine, based on the at least one pattern and the at least one empty space, at least one aspect of planogram compliance.

Template-based recognition of food product information

A method for template based recognition of food product information includes capturing an image of food product packaging and extracting an attribute from the image. The attribute is used to find a matching template in a template-database. The matching template is then used to extract food product information from the image.

Object recognition system with database pruning and querying

A database for object recognition is generated by performing at least one of intra-object pruning and inter-object pruning, as well as keypoint clustering and selection. Intra-object pruning removes similar and redundant keypoints within an object and different views of the same object, and may be used to generate and associate a significance value, such as a weight, with respect to remaining keypoint descriptors. Inter-object pruning retains the most informative set of descriptors across different objects, by characterizing the discriminability of the keypoint descriptors for all of the objects and removing keypoint descriptors with a discriminability that is less than a threshold. Additionally, a mobile platform may download a geographically relevant portion of the database and perform object recognition by extracting features from the query image and using determined confidence levels for each query feature during outlier removal.

Image reporting method and system

A method and system are provided to report the findings of an expert's analysis of image data. The method and system are based on a reporting system that forms the basis of an image management system that can efficiently and systematically generate image reports, facilitate data entry into searchable databases for data mining, and expedite billing and collections for the expert's services. The expert identifies a significant finding on an image and attaches a location:description code to the location of that finding in order to create a significant finding and an entry into a database. Further descriptions of that finding, such as dimensional measurements, may be automatically appended to the finding as secondary attributes. After the evaluation, the system sorts the findings in the database and presents the findings by prioritized categories. The expert edits and approves a multimedia report which may be delivered by electronic means to an end-user.

Automatic recognition of images

Presented is a method of automatically performing an action, based on graphical input. The method comprises: receiving, for a user, an input image; comparing the input image with the contents of a user-customized database comprising a plurality of records, each record representing a predefined class of image, wherein the user has previously associated records in the database with respective specified actions; attempting to recognize the image, based on the similarity of the input image to one of the predefined classes of image represented in the user-customised database; and if the image is recognized, performing the action previously associated by the user with the class. Also presented is apparatus for recognizing an image and a method of constructing a user-customized database.

Methods and apparatus for automated true object-based image analysis and retrieval

An automated and extensible system for analysis and retrieval of images based on region-of-interest (ROI) analysis of one or more true objects depicted by an image is provided. The system uses an database that is a relational or analytical database containing searchable vectors that represent the images stored in a repository. Entries in the database are created by an image locator and ROI classifier working together to locate images within the repository and extract relevant information to be stored in the ROI database. The ROI classifier analyzes objects in an image to arrive at actual features of the true object. Graphical searches are performed by the collaborative workings of an image retrieval module, an image search requestor and an ROI query module. The image search requestor is an abstraction layer that translates user or agent search requests into the language understood by the ROI query.

Methods and apparatus for retrieving images from a large collection of images

A processing system may receive an example image for use in querying a collection of digital images. The processing system may use local and global feature descriptors to perform a content-based image comparison of the digital images with the example image, to automatically rank the digital images with respect to similarity to the example image. A local feature descriptor may represent a portion of the contents of a digital image. A global feature descriptor may represent substantially all of the contents of that digital image. The global feature descriptor may be content based, not keyword based. Intermediate and final classifiers may be used to perform the automatic ranking. Different intermediate classifiers may generate intermediate relevance metrics with respect to different modalities. The final classifier may use results from the intermediate classifiers to produce a final relevance metric for the digital images. Other embodiments are described and claimed.

Image retrieval using discriminative visual features

Image search results are obtained by providing weights to visual features to emphasize features corresponding to objects of interest while simultaneously deemphasizing irrelevant or inconsistent features that lead to poor search results. In order to minimize the impact of visual features that are unreliable or irrelevant with respect to the objects of interest in the image, context-dependent weights are provided to detect visual features such that those visual features pertaining to the objects of interest are more heavily weighted than those visual features that pertain to irrelevant or unreliable portions of the image. Visual features may be weighted for images in a searchable database. Training data may be obtained and used in weighting visual features in a query image and, alternatively, in searchable database images.

Color description analysis device, color description analysis method, and color description analysis program

The present invention provides a color description analysis device which converts a natural language description as a description regarding colors expressed in a natural language into data representing distribution of values in a prescribed color space, comprising color ratio determining means which determines the ratio of each area occupied by each color included in the natural language description in the whole area of an image as the object of the natural language description by use of words and phrases indicating relationship between colors and included in the natural language description.

Image retrieval system and method

An image retrieval method applies an application server, one or more calculating servers, and a sorting server to perform image retrieval. The application server extracts visual features of an exemplary image. The one or more calculating servers calculate similarities of available images according to the visual features of the exemplary image. The sorting server sorts the available images according to the similarities so as to obtain images similar to the exemplary image.

Music recommendation system, information processing device, and information processing method

A photograph classification unit classifies the photographs for each scene in a music-feature information determination unit. A photograph feature acquisition unit identifies a feature of the photograph based on additional information of the photograph and a result of face recognition of the image. A tempo determination unit determines a tempo of music based on a time zone of image capturing, a range of the number of people captured in a photograph, the degree of smile, activities, etc. A melody determination unit determines information that confines a title, a feature value, a genre, etc., based on an event, a time zone, and a season at the time of image capturing, a city and a country in which the image capturing has occurred, etc. Based on the determined feature of the music, a music data output unit extracts and then presents matching music.

System and method for searching digital images

A method and system for automatically analyzing and searching a database of digital content items includes a process for analyzing digital content items to identify portions capable of receiving text. In one implementation user input is received, where the user input helps construct a set of ordered values representing digital content item features desired by the user. The constructed set of ordered values is compared to sets of ordered values corresponding to digital content items in the database of digital content items, and digital content items are retrieved with sets of ordered values corresponding to the constructed set of ordered values.

Robust feature matching for visual search

Techniques are disclosed for performing robust feature matching for visual search. An apparatus comprising an interface and a feature matching unit may implement these techniques. The interface receives a query feature descriptor. The feature matching unit then computes a distance between a query feature descriptor and reference feature descriptors and determines a first group of the computed distances and a second group of the computed distances in accordance with a clustering algorithm, where this second group of computed distances comprises two or more of the computed distances. The feature matching unit then determines whether the query feature descriptor matches one of the reference feature descriptors associated with a smallest one of the computed distances based on the determined first group and second group of the computed distances.

Diagnosis Support System Providing Guidance to a User by Automated Retrieval of Similar Cancer Images with User Feedback

The present invention is a diagnosis support system providing automated guidance to a user by automated retrieval of similar disease images and user feedback. High resolution standardized labeled and unlabeled, annotated and non-annotated images of diseased tissue in a database are clustered, preferably with expert feedback. An image retrieval application automatically computes image signatures for a query image and a representative image from each cluster, by segmenting the images into regions and extracting image features in the regions to produce feature vectors, and then comparing the feature vectors using a similarity measure. Preferably the features of the image signatures are extended beyond shape, color and texture of regions, by features specific to the disease. Optionally, the most discriminative features are used in creating the image signatures. A list of the most similar images is returned in response to a query. Keyword query is also supported.

Image identification device, image identification method and recording medium

The invention provides an image identification device uses a separating plane to classify block images into the categories. The image identification device includes a target image input unit inputting a target image, a block image generation unit generates block images, a feature quantity computing unit computes feature quantities of the block images, and a category determination unit determines whether the block images are classified into the categories or not. The feature quantity computing unit uses local feature quantities of the block images and a global feature quantity of the target image as a whole, and also in a feature quantity space using features of the block images as coordinate axes, uses coordinate positions of feature quantity vectors optional areas in the feature quantity space to count the block images and causes the global feature quantity to include the number of the block images thus counted.

Image-based popularity prediction

A machine may be configured to access an image of an item described by a description of the item. The machine may determine an image quality score of the image based on an analysis of the image. A request for search results that pertain to the description may be received by the machine, and the machine may present a search result that references the item's image, based on its image quality score. Also, the machine may access images of items and descriptions of items and generate a set of most frequent text tokens included in the item descriptions. The machine may identify an image feature exhibited by an item's image and determine that a text token from the corresponding item description matches one of the most frequent text tokens. A data structure may be generated by the machine to correlate the identified image feature with the text token.

Auto-recognition for noteworthy objects

Techniques for automatically identifying famous people and/or iconic images are provided. Object descriptors (or “faceprints”) of the famous people and iconic images are generated and “shipped” with a digital image management application used by an end-user. The digital image management application analyzes a digital image (generated, for example, by a digital camera operated by the end-user) to detect an object, such as a face, and generates a faceprint. The digital image management application compares the faceprint to the faceprints of the famous people and/or iconic images. If a match is found, then data that identifies the corresponding person or object is displayed to the end-user.

Object retrieval using visual query context

Some implementations provide techniques and arrangements to perform image retrieval. For example, some implementations identify an object of interest and a visual context in a first image. In some implementations, a second image that includes a second object of interest and a second visual context may be compared to the object of interest and the visual content, respectively, to determine whether the second image matches the first image.

Information processing apparatus, phrase output method, and program

In one aspect, an information processing system for determining complimentary phrases to present to a recipient is provided. The information processing system may receive an input image depicting a subject. A difference in appearance between the subject depicted in the input image and a model subject may be determined. One or more phrases (e.g., complimentary phrases) may be selected from a plurality of categorized phrase candidates based on the identified difference in appearance between the subject and the model subject. The difference in appearance may be determined by comparing selected features (e.g., skin, hair, eyes) of the subject with one or more predetermined features of the model subject. The model subject may be the same or different than the subject depicted in the input image.

Using relevance feedback in face recognition

Images are searched to locate faces that are the same as a query face. Images that include a face that is the same as the query face may be presented to a user as search result images. Images also may be sorted by the faces included in the images and presented to the user as sorted search result images. The user may provide explicit or implicit feedback regarding the search result images. Additional feedback may be inferred regarding the search result images based on the user-provided feedback, and the results may be updated based on the user-provided and inferred feedback.

Information processing apparatus, storage medium, information processing method and information processing system

An example of a game apparatus includes a CPU, and in a mode of examining a flower based on an imaged image, the CPU activates two outward cameras to thereby display an imaging screen on a stereoscopic LCD and a lower LCD. In the center of an upper screen displayed on the stereoscopic LCD, a designation image for adjusting a position and a size of an object to be imaged is displayed. Also, on the upper screen, a through image imaged by the outward camera is displayed, and the designation image is displayed in front of the through image. At this time, the designation image is displayed in a complementary color of a color of the through image.

Information processing apparatus, information processing method, program, recording medium, and information processing system

Provided is an information processing apparatus including an image acquisition unit for acquiring an image that includes a target a user is paying attention to, an access information acquisition unit for acquiring access information assigned with a time-limited access right to public information that is associated with the target in the image, a public information acquisition unit for acquiring the public information using the access information, and a display control unit for controlling display of the public information.

Social media fact checking method and system

A fact checking system verifies the correctness of information and/or characterizes the information by comparing the information with one or more sources. The fact checking system automatically monitors, processes, fact checks information and indicates a status of the information.

Personalized memory compilation for members of a group and collaborative method to build a memory compilation

The present invention may provide a method and apparatus for budding a personalized memory compilation for members of a group: providing digitally encoded images, text and other data; analyzing data; eliciting a characteristic of data; selecting a plurality of the provided data; arranging the provided data, to generate a personalized memory compilation; wherein at least one of a selecting or an arranging step is performed in response to elicited characteristics. The invention may comprise a collaborative method and apparatus for gathering, enriching, preserving, and sharing memories for members of a group using the combination of 1) collaboration through nominal group recall and 2) recording of personal preferences to produce a digital asset that contains a unique blend of selected profiles, images, stories, personalized notes, and other relevant content from more than one group member to constitute a more complete and accurate rendering of an important occasion experienced by the group.

Re-ranking item recommendations based on image feature data

An apparatus and method to adjust item recommendations are disclosed herein. A first image attribute of a query image is compared to a second image attribute of each of a plurality of inventory images of a plurality of inventory items to identify the inventory items similar to the query image. Item recommendations comprising the identified inventory items in a first listing order are provided for display at a remote device. A second listing order of the identified inventory items is determined based on a user preference for a particular one of the identified inventory items. At least the second listing order is provided to the remote device for re-display of the item recommendations in accordance with the second listing order.

Biometric matching engine

The present disclosure concerns a method of identifying a biometric record of an individual in a database ( 108 ), the database comprising at least first and second sets of records, each set comprising at least one record, the method comprising: receiving by a processing device ( 102 ) at least first and second input biometric samples of said individual; performing on the records of said first set a first matching process comprising a first filtering operation followed by a second filtering operation, and performing on the records of said second set a second matching process comprising said second filtering operation followed by said first filtering operation, wherein said first filtering operation comprises comparing said first input biometric sample to a first reference biometric sample of each record, and said second filtering operation comprises comparing said second input biometric sample to a second reference biometric sample of each record; and identifying a biometric record of said individual based on results of the first and second matching processes.

Method for constructing models of animals and electronic apparatuses applying the same

A method for constructing models of animals and an electronic apparatus applying the same are disclosed, in which the animal model construction method comprises the step of: using an imaging device for capturing images of a specific animal at different viewpoints so as to form a plurality of animal images; inputting the plural animal images into an animal model construction system, which has an animal species database embedded therein, for allowing the system to perform a species discrimination analysis so as to find a matching animal prototype from the animal species database; adjusting the matched animal prototype according to the distinctive appearance features of the specific animal that are obtained from the plural animal images so as to construct a primary animal model; and enabling the primary animal model to move and give off sound in a manner the same as the real specific animal.

Method and system for describing image region based on color histogram

A method and system for describing image region based on color histogram is provided. The method for describing an image region based on color histogram comprising: a color quantization step for quantizing said image region into a quantized color region, wherein a specific color range and colors outside the specific color range are differently treated in the quantizing; a color histogram calculation step for computing one or more color histograms according to said quantized color region; and a histogram assembling step for generating a unique vector by using said one or more color histograms.

Image Searching

The present disclosure introduces a method and an apparatus for searching images. With respect to each image in an image searching database, respective labels of respective images are generated based on description information corresponding to the respective images. A corresponding relationship between the generated respective labels and the respective images is stored. Based on a received image searching request, description information corresponding to an image for search in the image searching request is obtained. Based on the description information of the image for search, the label of the image for search is generated. Based on the stored corresponding relationship between the respective labels and the respective images, one or more images corresponding to the label of the image for search are determined. The determined one or more images are sent to the client terminal that sends the image searching request.

Method of and system for fact checking email

A fact checking system verifies the correctness of information and/or characterizes the information by comparing the information with one or more sources. The fact checking system automatically monitors, processes, fact checks information and indicates a status of the information.

Apparatus and method for recognizing objects using filter information

An object recognition method using filter information includes acquiring object image information including an object of interest, acquiring filter information for recognizing the object of interest from the object image information, and recognizing the object of interest using the filter information. An object recognition apparatus using filter information including an object information acquiring unit to acquire object image information comprising an object of interest, a filter information input unit to acquire filter information, an output unit to output the image information and the filter information, and a controller to recognize the object of interest in the object image information using the filter information.

Image processing

An image processing method includes partitioning an image under test to form a plurality of contiguous image segments having similar image properties, deriving feature data from a subset including one or more of the image segments, and comparing the feature data from the subset of image segments with feature data derived from respective image segments of one or more other images so as to detect a similarity between the image under test and the one or more other images.

Display apparatus, remote control apparatus, and searching methods thereof

A display apparatus is provided. The display apparatus includes a display unit configured to display an image frame of a content, an interface unit configured to receive a user command for selecting an object, a selection unit configured to select the object corresponding to the user command as a search target, in a plurality of image frames of the content, a communication unit configured to communicate with an external search server, and a control unit configured to transmit the selected object as the search target to the external search server, receive a searching result for the selected object from the external search server, and display the searching result.

Automated indexing for distributing event photography

The present method relates to the automated indexing of event images for distribution. The automated indexing can use automated facial recognition to determine which people are in each image. The images indexed in this fashion can be presented in a gallery, ordered by characteristics of the people in the images such as their name or room number, so as to facilitate the selection of the images by the people. The identification of the people in the images can be assisted by security or other information regarding the people that may be available to the event manager. Furthermore, the closeness of the relationships of two people can be inferred from the degree to which the people are in the same images, allowing the people in the images to be placed into groups, which can be hierarchical and/or overlapping, and which can assist in the organization of images being presented to the people, either in a gallery or electronic display format.

Method of and system for indicating a validity rating of an entity

A fact checking system verifies the correctness of information and/or characterizes the information by comparing the information with one or more sources. The fact checking system automatically monitors, processes, fact checks information and indicates a status of the information.

Image search system, image search apparatus, image search method and computer-readable storage medium

In the present invention, a database has feature information stored in association with flower sample images flower names, leaf sample images, and images indicating attention points for narrowing down the flower names. An extracting section extracts flower sample images having a high similarity to the image of the imaged flower as candidate images by comparing feature information of the image of the imaged flower and feature information stored in the database. A control section causes the image of the imaged flower, the extracted candidate images, flower names corresponding to the candidate images, and attention points for narrowing down the candidate images to be arranged and displayed on a display section, and changes the candidate images to their respective leaf sample images for display. The control section also changes the candidate images to images indicating their respective attention points and causes them to be displayed on the display section.

System and method for using an image to provide search results

A system and method uses one or more images provided to an image recognition capable search engine to obtain search results. The image recognition system may use one or more image match algorithms to create one or more possible product match sets. In the event multiple product match sets are created, the search results may be limited to product that appears in one or more of the plural possible product match sets.

Inspection Tool

An electronic tool is disclosed to collect form data to determine if physical adjustments are required by a physical object. The forms may be device agnostic and the data may be stored in a way that the forms may be created, reviewed and edited on virtually any device that can execute a web browser and have periodic network access.

Image Capture and Identification System and Process

A digital image of the object is captured and the object is recognized from plurality of objects in a database. An information address corresponding to the object is then used to access information and initiate communication pertinent to the object.

Biometric matching technology

Biometric matching technology, in which a watch list is managed, multiple images of a potential suspect are accessed, and parallel pre-processing of the multiple images is controlled. Based on the pre-processing, an image of the potential suspect to use in matching against the watch list is determined and the determined image is used to search sorted biometric data included in the watch list. A subset of persons from the watch list is identified based on the search and parallel analysis of the determined image of the potential suspect against detailed biometric data associated with the subset of persons in the watch list is controlled. Based on the parallel analysis, it is determined whether the potential suspect matches a person in the watch list and a result is outputted based on the determination.

Systems and methods for real-time conversion of video into three-dimensions

Disclosed herein are systems and methods for enhancing a sequence of video images to add depth and presenting the enhanced images to the user through a lenticular lens arrangement on a display screen for viewing the enhanced images in three-dimensions (3D). The embodiments include the application of image enhancing algorithms which measure spatial and temporal differences between sequential images in an input video stream in order to measure depth within the images and produce one or more interleaved images with depth. Multiple sequential interleaved images may then be created in real-time as the images from the video stream are received, and the sequence of interleaved images may then be presented immediately as a video stream on a display fitted with a lenticular lens to effectively display a 3D video to the user.

Camera guided web browsing

Systems and methods for performing camera-guided browsing, such as web browsing, are described herein. A method for operating a camera-guided web browser as provided herein includes displaying a web page on a display associated with a portable device; passively detecting a first object within a field of view of a camera associated with the portable device; and altering at least part of the web page with first content associated with the first object in response to passively detecting the first object within the field of view of the camera.

Image Capture and Identification System and Process

A digital image of the object is captured and the object is recognized from plurality of objects in a database. An information address corresponding to the object is then used to access information and initiate communication pertinent to the object.

Information processing system, information processing method, and information processing program

The present invention includes: a database which stores a position on a map and feature information in an image which can be taken by an imaging device at the position, to be associated with each other; an extraction means for extracting the feature information from the image; an estimation means for estimating the position at which the imaging device exists on a map on the basis of the extracted feature information referring to the database; a display means for displaying an estimated current position of the imaging device; a determination means for determining whether or not an imaging direction of the imaging device is varied by a predetermined amount from a direction in which the image from which the feature information is extracted is taken during the imaging; and a control means for controlling the extraction means so that new feature information is extracted, upon determining that the direction is varied by the predetermined amount; wherein the estimation means combines the new feature information and the extracted feature information and re-estimates the position on the map at which the imaging device exists when the new feature information is extracted.

Method, system and apparatus for determining a hash code representing a portion of an image

A method of determining a hash code representing a portion of an image, is disclosed. A Delaunay region (e.g., 450 ) enclosing an image feature point (e.g., 210 ) representing at least the portion of the image is determined. The Delaunay region is determined from A* lattice points. A mapping transforming the Delaunay region to a predetermined canonical form is determined A point of the Delaunay region is received. The received point defines a plane containing the A* lattice points of the Delaunay region excluding the received point. A normal of the plane is determined by setting at least two co-ordinates of the normal to predetermined non-zero values, the two co-ordinates being selected according to the determined mapping. The hash code representing a portion of the image is determined according to a distance determined using the normal.

Media system and method of providing recommended search term corresponding to an image

A media system and a method of providing recommended search term corresponding to an image are disclosed. Herein, a display device may be configured to display a still image of the content and a search window on a display screen. And, an electronic device may be configured to verify whether or not an image or a portion of the image has been dragged to the displayed search window, wherein the image may be included in the still image, and, when the image or the portion of the image has been dragged to the search window, the electronic device may be configured to send directions to the display device, so that the display device can display multiple search terms related to the image or the portion of the image as recommended search term on the search window.

Electronic device and photo management method thereof

A photo management method implemented by an electronic device having a first camera and a second camera includes capturing a first photo by the first camera and capturing a simultaneous second photo by the second camera of the face of a user. Facial characteristics are extracted from the second photo and the characteristics are added to attribute information of the first photo. When the user wants to browse photos showing or including himself/herself, a third photo of the user is captured and facial characteristics extracted. One or more first photos are determined according to the facial characteristics of the third photo, and the one or more first photos showing or including the user are collected in one group and displayed.

Intelligent network access control

A method for controlling wireless communication access by wireless devices to wireless communications networks includes establishing, using an intelligent network access controller, one or more targeted coverage areas overlaying portions of a wireless communications network; determining a location of a wireless device relative to a targeted coverage area; locking the wireless device to the intelligent network access controller when the wireless device is located in or near the targeted coverage area, determining an access category for the wireless device; preventing wireless communication access for a first category of wireless devices by maintaining the first category wireless devices locked to the intelligent network access controller; and allowing unlimited wireless communications for a second category of wireless devices, wherein the intelligent network access controller directs the second category wireless devices to attempt registration with the wireless communications.

Method of inserting an image into a container file

A method of inserting an image into a container file including reading source data including the image; opening the container file where the image will be stored, the container file comprising one or more records. Each record includes an image file section reserved for storing the image, an image metadata section reserved for storing data about the image, and a record metadata section having a status flag or status mark indicating whether the image file section is empty. The method further includes determining whether the source data is valid to be entered into a record in the one or more records; if the source of data is valid, preparing the record and the image metadata; and writing the record into the container file and marking the status mark of the record as being updated while writing the record into the container file.

Confidence Based Vein Image Recognition and Authentication

An indexed hierarchical tree search structure converts each registration sample into an equivalent registration model based on the clustering of its registration item descriptors in the leaf nodes of the hierarchical tree. Query item descriptors from a query sample from someone wanting to be recognized are distributed into the hierarchical tree. A query model is defined based on the clustering of query item descriptors at the leaf nodes, and registration and verification are made based on comparison of the query model and the registration models.

Method for refining the results of a search within a database

A method refines the results of a search for objects within a database containing a set of objects each associated with a descriptor. The method includes a step of presenting to a user the set of objects, and a part of the objects is associated with a clickable image for a user to signal the relevance or non-relevance of the said object in relation to the user's search. The method further includes a step of assigning a weight to descriptors of an object and another step of calculating a resultant of the weights. The calculating step is followed by the step of initializing a relevance index for each result object and the step of comparing each result object to the resultant and presenting to the user the result objects in the order of relevance index.

Content display processing device, content display processing method, program and integrated circuit

A content display processing device includes a display unit, a content acquisition unit, a characteristic determination unit and a display control unit. The content acquisition unit acquires pieces of content. The attribute information acquisition unit acquires pieces of attribute information, each piece of attribute information being acquired from one or more of the pieces of content and indicating an attribute thereof. The characteristic information determination unit determines a piece of characteristic information based on the pieces of attribute information, the piece of characteristic information pertaining to pieces of target content among the pieces of content and indicating an attribute which is characteristic thereof. The display control unit controls the display unit to display the pieces of target content based on the piece of characteristic information. Through the above configuration, pieces of target content can be arranged and displayed on arrangement axes which change in accordance therewith.

Method, apparatus and system for performing facial recognition

A method, apparatus, and system for performing facial recognition utilizing large databases is provided herein. During operation a large database is quickly narrowed by determining an automobile attribute (e.g., a license plate number) and determining a registered owner and possibly an address based on the automobile attribute. The image database is narrowed based on the registered owner of the vehicle, and possibly the address of the registered owner.

Object Information Derived from Object Images

Search terms are derived automatically from images captured by a camera equipped cell phone, PDA, or other image capturing device, submitted to a search engine to obtain information of interest, and at least a portion of the resulting information is transmitted back locally to, or nearby, the device that captured the image.

Automated field position linking of indexed data to digital images

According to one embodiment, a method of linking a document image with indexed data is provided. The method may be performed by providing a document image, which is a digitized document having various information. Indexed data is also provided, which is a record that includes information extracted from the document image or a different document image. The process is further performed by identifying a feature of the indexed data and analyzing the document image to determine whether the feature is present within the information of the digitized document. The feature may be information or a characteristic defined by the information extracted from the document image or the different document image. If the feature is present within the information of the digitized document, a determination is made that the indexed data corresponds with the document image and the indexed data is linked with the document image.

Predicting content performance with interest data

Systems and methods for predicting content performance with interest data include receiving a content selection request that includes a client identifier. One or more topical interest categories associated with the client identifier may be used as inputs to a prediction model to predict the likelihood of an online action occurring as a result of third-party content being selected. The predicted likelihood may be used to select third-party content.

Single user interface for selecting, modifying, and querying images

Methods and apparatus are presented for a morphing search tool that provides a single user interface through which a user may both modify a displayed image and perform an image similarity query based on the modified image. The morphing search tool may allow a user to repeat this process until a desired image is found and displayed. Further, the image repository to be searched may be specified by a user and the images to be modified and searched for may be any type of image. The morphing search tool may be integrated within a merchant website, an image management system, or as a stand alone application.

Intelligent video thumbnail selection and generation

In accordance with one embodiment, an intelligent video thumbnail selection and generation tool may select a relevant and visually stimulating image from a video file and generate a thumbnail including the image. The image may be selected by computing a relevancy metric for an image in the file based on one or more selected relevant features, and comparing that relevancy metric with the metric of at least one other image in the file. In another embodiment, a series of images in a video file may be divided into shots. One of the shots may be selected based on a shot relevancy metric and a key image from the shot may be selected as a thumbnail based on a key image relevancy metric, where the shot relevancy metric and the key image relevancy metrics may be computed based on one or more relevant content features.

SYSTEM AND METHOD FOR SOCIAL STYLE MAPPING

A system is disclosed that obtains an image of an apparel item and text describing the apparel item. The system also determines descriptive metadata of the apparel item by extracting information from the text. Further, the system further determines categorization metadata of the apparel item by analyzing the image. Additionally, the system stores the image, the descriptive metadata, and the categorization metadata in a virtual closet. Moreover, the system provides a recommendation of an outfit from a stylist to a user based on the virtual closet. 1. A method of operating a computer based assistive styling system to provide recommendations to users regarding clothing choices , wherein the method comprises:receiving a plurality of images from a plurality of users, the received images being of an article of clothing;processing, using a processor, the received images to generate metadata associated with the received images, the metadata including one of a plurality of categories, where the categories are defined using machine learning;receiving a stylist recommendation request from a user, the request including an image of an article of clothing;comparing, using the processor, the metadata associated with the image included in the stylist recommendation request, including the category of such metadata, with metadata from other images which were previously received by the computer based assistive styling system, to find at least one match result for the image included in the stylist recommendation request;using the at least one match result of the comparison of metadata to create a styling recommendation for the user who sent the stylist recommendation request; andproviding the styling recommendation to the user who sent the stylist recommendation request.2. The method of claim 1 , wherein the metadata is generated by the processor and the metadata is generated using natural language processing carried out on text of descriptive information which the computer based ...

Image Capture and Identification System and Process

A digital image of the object is captured and the object is recognized from plurality of objects in a database. An information address corresponding to the object is then used to access information and initiate communication pertinent to the object.

Head mounted display and method for controlling the same

Disclosed are a head mounted display (HMD), and a method for controlling the same. The HMD includes: a body having a display unit; a lens driving unit provided at the body, and configured to move a lens unit spaced apart from the display unit, wherein the lens driving unit includes: a lens frame having a first tube portion protruded in a first direction, and coupled to the body; a lens housing having a second tube portion protruded in the first direction and having the lens unit, the second tube portion relatively moved on the first tube portion; a link unit coupled to the lens frame and the lens housing, and configured to move the lens housing; and a driving unit provided at one side of the first tube portion, and configured to operate the link unit.

INFORMATION SUGGESTION SYSTEM, INFORMATION SUGGESTION METHOD, PROGRAM, AND RECORDING MEDIUM

Provided are an information suggestion system, an information suggestion method, a program, and a recording medium capable of suggesting information of interest to many users to a product provider related to the information from an image group of a plurality of users. 1. An information suggestion system comprising:an image group acquisition unit that acquires image groups of a plurality of users stored in an online storage;an image analysis unit that detects an imaging location of each image included in the image groups of the plurality of users and an object appearing in the each image by analyzing the each image;an imaging number count unit that counts an imaging number of a same-type image for each of same-type images which are captured at a same imaging location and in which a same object appears in the image groups of the plurality of users;an imaging frequency calculation unit that calculates an imaging frequency of the same-type images from the imaging number of the same-type images for each of the same-type images in the image groups of the plurality of users; andan information suggestion unit that suggests same-type image information related to the same imaging location and the same object of a same-type image of which the imaging number and the imaging frequency satisfy a predetermined condition to a product provider related to the same-type image information among a plurality of product providers.2. The information suggestion system according to claim 1 , further comprising:a region information reception unit that receives information on a region which is provided from each of the plurality of product providers and corresponds to at least one region of a geographical region or a business region in which the same-type image information is desired,wherein the information suggestion unit suggests the same-type image information of the same-type image of which the imaging number and the imaging frequency satisfy the predetermined condition to a product ...

APPARATUS AND METHODS FOR RETRIEVING LOST PROPERTY

A method of facilitating retrieval of lost items, the method including: providing a computer network for a plurality of owners of items which is accessible by each owner using a computer device; providing a user interface of the network for finders of a lost item; receiving from each owner a user specific data item; assigning to each owner an identifier; providing to each owner a software component which is adapted to generate, at the device utilised by the owner, the image of a computer readable code, the code corresponding to the identifier and a network address; facilitating via the user interface a communication from the finder; and using the user specific data item of the owner, sending to the owner the communication of the finder. 1. A method of facilitating retrieval of lost items , the method comprising:providing a computer network for a plurality of owners of items which is accessible by each owner using a computer device;providing a user interface of the network for finders of a lost item;receiving from each owner a user specific data item;assigning to each owner an identifier;providing to each owner a software component which is adapted to generate, at the device utilised by the owner, an image of a computer readable code, wherein the code corresponds to the identifier and a network address;facilitating via the user interface a communication from the finder; andusing the user specific data item of the owner, sending to the owner the communication of the finder.2. A method as claimed in claim 1 , wherein the step of generating the image of the computer readable code further comprises generating a QR code.3. A method as claimed in claim 1 , wherein the user specific data item comprises a contact detail.4. A method as claimed in claim 1 , wherein the method includes assigning to each user a token when accessing the computer network.5. A method as claimed in claim 1 , wherein the method includes storing the identifier and the user specific data item of each ...

SYSTEMS AND METHODS FOR PROCESSING MEDIA CONTENT THAT DEPICT OBJECTS

Access to a set of media content items is acquirable. Identified processors can perform, in parallel, object detection for the set. In some cases, information about a current system state, a user, and/or object popularity metrics is acquirable for selecting a subset of object models. Object recognition is performable, based on the subset, for the set of media content items. In some instances, a camera view can be provided. Object recognition is performable for representations of the view. An object depicted in the representations is identifiable. An interface portion is presentable to provide a label for the object. In some cases, object recognition is performable for the set of media content items to identify an object depicted in a content item. A label is associable with the content item. A search through the set of media content items can identify, based on the label, a subset that depicts the object. 1acquiring, by a computing system, information associated with at least one of a current state of the computing system, a user of the computing system, or object popularity metrics;enabling, by the computing system, the information to be utilized to select a subset of object models out of a set of object models;acquiring, by the computing system, the subset of object models; andperforming, by the computing system, object recognition, based on the subset of object models, with respect to a set of media content items.. A computer-implemented method comprising: This application is a continuation of U.S. patent application Ser. No. 15/253,695, filed on Aug. 31, 2016 and entitled “SYSTEMS AND METHODS FOR PROCESSING MEDIA CONTENT THAT DEPICT OBJECTS”, which is incorporated herein by reference.The present technology relates to the field of multimedia or media content processing. More particularly, the present technology relates to techniques for processing media content that depict objects.Today, people often utilize computing devices (or systems) for a wide variety of ...

HEALTH STATISTICS AND COMMUNICATIONS OF ASSOCIATED VEHICLE USERS

Methods and systems for a complete vehicle ecosystem are provided. Specifically, systems that when taken alone, or together, provide an individual or group of individuals with an intuitive and comfortable vehicular environment. The present disclosure includes a system that provides various outputs based on a user profile and determined context. An output provided by the present disclosure can change a configuration of a vehicle, device, building, and/or a system associated with the user profile. The configurations can include comfort and interface settings that can be adjusted based on the user profile information. Further, the user profiles can track health data related to the user and make adjustments to the configuration to assist the health of the user. 1. A method , comprising:detecting a presence of at least one user in a vehicle;determining an identity of the at least one user;receiving data associated with the at least one user, wherein the data includes biometric information;detecting a deviation between the received data and an established baseline biometric profile associated with the at least one user; anddetermining, based at least partially on the detected deviation, to provide an output configured to address the deviation.2. The method of claim 1 , wherein prior to receiving data associated with the at least one user the method further comprises:determining the baseline biometric profile associated with the at least one user; andstoring the determined baseline biometric profile in a user profile memory associated with the at least one user.3. The method of claim 1 , wherein determining the presence of the at least one user inside the vehicle further comprises:detecting a person via at least one image sensor associated with the vehicle.4. The method of claim 3 , wherein determining the identity of the at least one user further comprises:identifying facial features associated with the person detected via the at least one image sensor; anddetermining ...

VISUAL FEATURE TAGGING IN MULTI-VIEW INTERACTIVE DIGITAL MEDIA REPRESENTATIONS

Provided are mechanisms and processes for visual feature tagging in multi-view interactive digital media representations (MIDMRs). In one example, a process includes receiving a visual feature tagging request that includes an MIDMR of an object to be searched, where the MIDMR includes spatial information, scale information, and different viewpoint images of the object. A visual feature in the MIDMR is identified, and visual feature correspondence information is created that links information identifying the visual feature with locations in the viewpoint images. At least one image associated with the MIDMR is transmitted in response to the feature tagging request. 1. A method comprising;receiving via a communications interface at a server a visual feature identification request for a first multi-view interactive digital media representation (MIDMR) of an object, the first MIDMR of the object including spatial information;identifying via a processor a visual feature in the first MIDMR of the object based at least in part on the spatial information, wherein identifying the visual feature comprises comparing the first MIDMR with a plurality of reference MIDMRs, wherein comparing the first MIDMR with the plurality of reference MIDMRs comprises comparing the scale information of ate first MIDMR with scale information of the plurality of reference MIDMRs; andtransmitting from the server via the communications interface a feature identification message associated with the first MIDMR in response to the feature identification request.2. The method recited in claim 1 , wherein identifying the visual feature comprises processing user input that identifies a first location on the first MIDMR.3. The method recited in claim 1 , wherein the spatial information is determined at least in part based on inertial data.4. The method recited in claim 1 , wherein identifying the visual feature further comprises:selecting a reference MIDMR that is similar to the first MIDMR,identifying a ...

System and method for face recognition with two-dimensional sensing modality

A method and system in which facial image representations stored in a database are defined by facial coordinates in a plane common to other images in the database in order to facilitate comparison or likeness of the facial images by comparing the common plane facial coordinates, the common plane being determined by the locations of the eyes and mouth corners; at least one input operatively connected to the at least one processor and configured to input the corners of the eyes and mouth coordinates; the at least one processor configured to convert inputted coordinates for the corners of the eyes and mouth into estimated common plane coordinates by minimizing the error between the inputted corners of the eyes and mouth coordinates and the estimated coordinates corners of the eyes and mouth obtained from the least square estimation model of the common plane coordinates of the corners of eyes and mouth.

SYSTEMS AND METHODS FOR ELECTRONICALLY IDENTIFYING PLANT SPECIES

A method is described that comprises receiving an annotated database of images, wherein each image includes at least one image category, wherein the annotated database includes bounding box coordinates to locate the at least one image category within an image. The method includes receiving image data in real time and using the annotated database of images to train an object detection model for detecting and locating an image category in a frame of image data. The method includes detecting and locating an image category of the at least one image category across image frames of the image data in real time using the object detection model, the detecting and locating including visualizing the location in a highlighted view across the image frames using an electronic display. The detecting and locating including capturing a frame of the image data as an image for image recognition. 1. A method comprising ,receiving an annotated database of images, wherein each image includes at least one image category, wherein the annotated database includes bounding box coordinates of the at least one image category appearing in each image, wherein bounding box coordinates locate an image category within an image using a predefined coordinate system;receiving image data in real time;using the annotated database of images to train an object detection model for detecting and locating an image category of the at least one image category in a frame of the image data;detecting and locating an image category of the at least one image category across image frames of the image data in real time using the object detection model, the detecting and locating including visualizing the location in a highlighted view across the image frames using an electronic display, the detecting and locating including capturing a frame of the image data as an image for image recognition.2. The method of claim 1 , wherein the highlighted view labels the image category.3. The method of claim 2 , the capturing the ...

SYSTEMS AND METHODS FOR ELECTRONICALLY IDENTIFYING PLANT SPECIES

A system is described that comprises an application configured to use an object detection model to detect and locate an image category across image frames of image data in real time, the detecting and locating including visualizing the location of the image category in a highlighted view across the image frames using an electronic display, the detecting and locating including capturing a frame of the image data as an image for image recognition. The application is configured to provide the image to one or more applications running on a remote server, the one or more applications configured to process the image to identify a species of a plant appearing in the image, the one or more applications configured to provide an identification of the species to the application, the application configured to receive an instruction to post the image and the species identification. 1. A system comprising ,an application running on a processor of a mobile device and third party applications running on corresponding mobile devices. wherein the application and the third party applications are configured to communicatively couple with one or more applications running on at least one processor of at least one remote server;the application configured to receive image data in real time through a camera of the mobile device;the application configured to display the image data in real time through an electronic interface of the mobile device;the application configured to use an object detection model to detect and locate an image category across image frames of the image data in real time, the detecting and locating including visualizing the location of the image category in a highlighted view across the image frames using the electronic display, the detecting and locating including capturing a frame of the image data as an image for image recognition, the capturing the frame including receiving a selection of the highlighted view and corresponding frame through the electronic interface; ...

Information processing system, method for controlling information processing system, program, and information recording medium

Provided is an information processing system capable of grouping objects without needing to pre-define a group associated with a sorting condition. A determination unit determines whether or not one of a first object and a second object different from the first object is included in a determination region that is set based on a position of another one of the first object and the second object. A grouping unit groups the first object and the second object based on a result of a comparison between the attribute information associated with the first object and the attribute information associated with the second object in a case where it is determined that the one of the first object and the second object is included in the determination region.

Methods, systems, and media for presenting information related to an event based on metadata

Methods, systems and media for presenting information related to an event based on metadata are provided. In some implementations, the method comprises: detecting that a user-initiated event has been performed on a user device; detecting a plurality of sensors connected to the user device; causing a plurality of content items related to the user-initiated event to be obtained using the plurality of sensors connected to the user device; determining whether each of the plurality of content items is to be associated with the user-initiated event based on user device information from a plurality of data sources; associating a portion of the plurality of content items with the user-initiated event based on the determination; retrieving information related to the portion of the plurality of content items; detecting, using the plurality of sensors connected to the user device, a second plurality of content items; determining that at least one of the second plurality of content items is related to at least one of the first plurality of content items; and causing information related to the user-initiated event to be presented by the user device based at least in part on the determination.

IMAGE CAPTURE AND IDENTIFICATION SYSTEM AND PROCESS

A computing platform that analyzes a captured video stream to identify a document depicted in the video stream, validates identification information corresponding to the document to display an information address associated with the document, and that initiates a transaction based on the validation of the identification information associated with the document. 1. A method of conducting a financial transaction , the method comprising:analyzing, via at least one computing device processor, a video stream;identifying, via the at least one computing device processor, a document in the video stream;validating, via the at least one computing device processor, identification information pertinent to the document based on the video stream;displaying, via the at least one computing device processor, an information address where the information address is related to the document; andinitiating, via the at least one computing device processor and based on validation of the identification information, a financial transaction related to the document.2. The method of claim 1 , further comprising capturing claim 1 , by a mobile device claim 1 , the video stream.3. The method of claim 1 , wherein identifying the document comprises automatically capturing an image of the document from the video stream.4. The method of claim 3 , wherein identifying the document includes recognizing and decoding symbols according symbol type based on location in the image.5. The method of claim 1 , further comprising displaying a visual indicator with the video stream.6. The method of claim 1 , wherein the information address is associated with the financial transaction.7. The method of claim 1 , wherein the information address is associated with a bank account.8. The method of claim 1 , wherein the document is related to an individual who is a user of a mobile device.9. The method of claim 1 , further comprising allowing a user to perform ongoing interactions related to the financial transaction.10. ...

Collecting and targeting marketing data and information based upon iris identification

An iris biometric recognition module includes technology for capturing images of an iris of an eye of a person, whether the person is moving or stationary. The iris biometric recognition technology can perform an iris matching procedure for, e.g., identity purposes by querying a database for data related to an identified person, comparing the data with a plurality of content, and, in response to a determination that the data matches at least one piece of the plurality of content, display the plurality of content specific to the person on a display device.

Object Information Derived from Object Images

An object is recognized from image data as a target object and linked to a user based on an interaction by the user, information about the target object is obtained and a purchase of the target object is initiated.

Architecture for Responding to Visual Query

A visual query such as a photograph, a screen shot, a scanned image, a video frame, or an image created by a content authoring application is submitted to a visual query search system. The search system processes the visual query by sending it to a plurality of parallel search systems, each implementing a distinct visual query search process. These parallel search systems may include but are not limited to optical character recognition (OCR), facial recognition, product recognition, bar code recognition, object-or-object-category recognition, named entity recognition, and color recognition. Then at least one search result is sent to the client system. In some embodiments, when the visual query is an image containing a text element and a non-text element, at least one search result includes an optical character recognition result for the text element and at least one image-match result for the non-text element.

Information processing device, data processing method therefor, and recording medium

An information processing device includes: a feature quantity obtaining unit which obtains a feature quantity of an object to be extracted, which is extracted from a retrieval target, and specific information to be specified an appearing location of it; a feature quantity holding unit which, when storing the feature quantity in a feature quantity table, adds new identification information to the feature quantity and holds the feature quantity in the feature quantity table when a similar feature quantity in which a similarity with the feature quantity is no less than a threshold is not included in the feature quantity table, and outputs identification information of the similar feature quantity as identification information of the feature quantity when the similar feature quantity is included in the feature quantity table; and a retrieval table holding unit which holds the specific information associated with the added identification information or the outputted identification information.

Search system, search method and program recording medium

Provided is a search system which is configured to search for a registered vector being similar to an input vector among a plurality of registered vectors, on the basis of a degree of similarity between an input vector and a registered vector. The search system includes a partial similarity calculation unit that calculates a degree of partial similarity which is the degree of similarity concerning some of one or more dimensions of the input vector and the registered vector, a limit calculation unit that calculates, on the basis of the degree of partial similarity, an upper limit of the degree of similarity that is expected when the degree of similarity is calculated, and a rejection decision unit that decides, on the basis of the upper limit of the degree of similarity, whether or not to reject the registered vector from a candidate for a search result.

INFORMATION PROVIDING SYSTEM

An information providing system is an information providing system for selecting reference information that is appropriate when a user to perform a task related to a device works on the task, and has an acquiring unit for acquiring acquired data including first image data, in which a specific device and a specific identification label for identifying the specific device are photographed. The system also includes a first database that is built on machine learning, using a data structure for machine learning, which includes a plurality of items of training data that each include evaluation target information including image data, and a meta-ID linked with the evaluation target information. The image data includes an image showing the device and the identification label for identifying the device. 1. An information providing system for selecting reference information that is appropriate when a user to perform a task related to a device works on the task , the information providing system comprising:a hardware processor that is configured to acquire acquired data including first image data, in which a specific device and a specific identification label for identifying the specific device are photographed; anda first database that is built on machine learning, using a data structure for machine learning, which includes a plurality of items of training data that each include evaluation target information including image data, and a meta-ID linked with the evaluation target information, wherein the image data included in the evaluation target information includes an image showing (i) the device and (ii) the identification label for identifying the device;wherein the hardware processor is further configured to look up the first database and select a first meta-ID, among a plurality of meta-IDs, based on the acquired data;wherein the information providing system further comprises a second database that stores a plurality of content IDs linked with the meta-IDs, and a ...

Object ingestion through canonical shapes, systems and methods

An object recognition ingestion system is presented. The object ingestion system captures image data of objects, possibly in an uncontrolled setting. The image data is analyzed to determine if one or more a priori know canonical shape objects match the object represented in the image data. The canonical shape object also includes one or more reference PoVs indicating perspectives from which to analyze objects having the corresponding shape. An object ingestion engine combines the canonical shape object along with the image data to create a model of the object. The engine generates a desirable set of model PoVs from the reference PoVs, and then generates recognition descriptors from each of the model PoVs. The descriptors, image data, model PoVs, or other contextually relevant information are combined into key frame bundles having sufficient information to allow other computing devices to recognize the object at a later time.

Biometric feature database establishing method and apparatus

A usage frequency attribute is determined for each biometric feature in a biometric feature database. The usage frequency attribute indicates a matching success frequency of matching the biometric feature to a user having the biometric feature. The biometric features of the user are sorted in descending order of the usage frequency attribute. The sorting is based on a descending order of the usage frequency attributes for a given user. The biometric features in the biometric feature database are stored in descending order. The storing includes providing prioritized access to the biometric feature having a highest value of the usage frequency attribute so that the biometric feature is selected first in response to a request for the biometric feature of the user.

Displaying Objects Based On A Plurality Of Models

A system and method is provided for displaying surfaces of an object from a vantage point different from the vantage point from which imagery of the object was captured. In some aspects, imagery may be generated for display by combining visual characteristics from multiple source images and applying greater weight to the visual characteristics of some of the source images relative to the other source images. The weight may be based on the orientation of the surface relative to the location from which the image was captured and the location from which the object will be displayed. 1. A method of providing an image for display , the method comprising:capturing a first image of an object from a first vantage point to generate a first model;capturing a second image of the object from a second vantage point to generate a second model;receiving a request for an image of the object from a requested vantage point different from the first vantage point and the second vantage point;receiving a third image having a third visual characteristic that is based on a first visual characteristic determined from the first model and the requested vantage point, and a second visual characteristic determined from the second model and the requested vantage point; andproviding the third image for display.2. The method of claim 1 , further comprising determining an orientation associated with the requested vantage point claim 1 , wherein the first visual characteristic of the first model is based on the orientation claim 1 , and the second visual characteristic of the second model is based on the orientation.3. The method of claim 1 , wherein the third visual characteristic of the third image is based on a first orientation associated with the first model and a second orientation associated with the second model.4. The method of claim 1 , wherein the third visual characteristic of the third image is based on first location information associated with the first model and second location ...

Object Information Derived From Object Images

An image-based transaction system includes a mobile device with an image sensor that is programmed to capture, via the image sensor, a digital images of a scene. The mobile device identifies a document using image characteristics from the captured images and acquires an image of at least a part of the document, and then identifies symbols in the image based on locations within the image of the document. The symbols can include alphanumeric symbols. The mobile device processes the symbols according to their type to obtain an address related to the document and the symbols and initiates a transaction associated with the identified document. 1. An image-based transaction system , comprising: digitally capturing images of a scene via the image sensor;', 'identifying an object using image characteristics from the digitally captured images;', 'automatically acquiring an image of at least part of the identified object in the scene;', 'identifying symbols, including alphanumeric symbols, in the image based on locations within the image;', 'processing the symbols according to their symbol type;', 'obtaining an address related to the identified object and the processed symbols; and', 'initiating a transaction associated with the identified object via a server, wherein the transaction is related to the address., 'a mobile device having an image sensor wherein the mobile device, when software in the mobile device is executed, is caused to execute operations comprising2. The system of claim 1 , wherein the system further comprises the server.3. The system of claim 2 , wherein initiating the transaction occurs over a network.4. The system of claim 1 , wherein the mobile device comprises a portable telephone.5. The system of claim 1 , wherein the address comprises an information address.6. The system of claim 1 , wherein the address comprises a network address.7. The system of claim 1 , wherein the address references pertinent information related to the identified object.8. The ...

INFORMATION COLLECTION SYSTEM AND INFORMATION CENTER

Each of vehicles acquires its own position, and transmits an image of a nearby outside taken by an own camera and a piece of information of the own position. An information center communicatable wirelessly with the vehicles receives the images and the pieces of information of the vehicles' positions transmitted by the vehicles, and recognizes pieces of first character information appearing in the received images, respectively. Based on the received pieces of information of the vehicles' positions as well as at least either points of interest or areas stored as collection target information, the information center determines at least either points of interest or areas for the recognized pieces of first character information, respectively, and stores association information where the pieces of first character information are associated with the determined at least either points of interest or areas. 1. An information collection system comprising:a plurality of vehicles, each vehicle of the vehicles including one or more processors configured totransmit an image taken by a camera in the vehicle and a position of the vehicle acquired when the image is taken; andan information center, configured to communicate with the vehicles, including one or more processors configured toreceive the images and the positions from the vehicles,recognize pieces of first character information appearing in the received images, andprovide, based on the positions, at least either points of interest or areas related to the first character information, to one or more of the vehicles.2. The information collection system according to claim 1 , wherein each of the points of interest or areas is near each of the positions.3. The information collection system according to claim 2 , whereinthe one or more processors of the information center are further configured tocorrect errors in the pieces of first character information included in pieces of association information where the pieces of first ...

Selecting content objects for recommendation based on content object collections

Each image of a plurality of user-defined collections of images has properties associated therewith. A seed image is defined as currently viewed or selected image and the properties associated with the seed image are retrieved. The seed image is used to identify seed collections as the collections of images which have the seed image as one of their images. A plurality of candidate images are identified from the seed collections. For each candidate image, a significance score is determined as a function of either the number of seed collections to which the candidate image belongs or the ratio of the number of seed collections to the set of all collections to which the candidate image belongs. Each candidate image is ranked based on the significance scores and the seed image properties. At least one candidate image is recommended to the user based on the ranking of the candidate images.

IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM

A state of a display rack is evaluated accurately. An image processing device includes a detection unit configured to detect a change area related to a display rack from a captured image in which an image of the display rack is captured, a classification unit configured to classify a change related to the display rack in the change area, and an evaluation unit configured to evaluate a display state of goods, based on a classification result. 1. An image processing device comprising a processor configured to:detect a change area related to a display rack from a captured image in which an image of the display rack is captured;classify a change related to the display rack in the change area; andevaluate a display state of goods, based on a classification result.2. The image processing device according to claim 1 , whereinthe processor calculates an amount of display of the goods, based on the classification result, information about the change area, and monitored area information indicating a target area where the display state of the goods is monitored in the captured image.3. The image processing device according to claim 2 , whereinthe processor evaluates the display state of the goods, based on a transition of the amount of display.4. The image processing device according to claim 1 , the processor further configured tooutput information about the display state of the goods to an output device, based on an evaluation result.5. The image processing device according to claim 1 , whereinthe processor classifies the change related to the display rack in the change area, based on a previously learned model of the change related to the display rack or distance information indicating an image captured before an image capturing time of the captured image.6. The image processing device according to claim 5 , whereinthe captured image is a color image,the processor detects the change area by comparing the captured image with background information indicating the image ...

IMAGE EVALUATION APPARATUS THAT EVALUATES IMAGE POSTED TO NETWORKING SERVICE, SYSTEM, CONTROL METHOD FOR IMAGE EVALUATION APPARATUS, AND STORAGE MEDIUM

An image evaluation apparatus which is capable of evaluating an image that can be given positive evaluations in a networking service. Images included in post data posted on a networking service and evaluating values for the post data are obtained at predetermined time intervals. When the post data has been obtained, first parameters are generated by applying an image analysis process to the images. The first parameters and the evaluation values are stored in association with each other. Upon input of image to be evaluated, a second parameter is generated by applying the image analysis process to the image to be evaluated. A first parameter corresponding to the second parameter is extracted from the plurality of stored first parameters. Parameter evaluation values representing variations in the evaluation values associated with the extracted first parameter in notifying order are calculated. Notification of the calculated parameter evaluation values is provided. 1. An image evaluation apparatus comprising:an obtaining unit configured to obtain images included in post data posted on a networking service and evaluation values for the post data at predetermined time intervals;a first image analysis unit configured to, upon obtaining the post data, generate first parameters by applying an image analysis process to the image;a control unit configured to store the generated first parameters and the evaluation values in association with each other in a storage unit;a second image analysis unit configured to, upon receiving input of an image to be evaluated, generate a second parameter by applying the image analysis process applied by the first image analysis unit to the image to be evaluated;an extraction unit configured to extract a first parameter corresponding to the second parameter from the plurality of first parameters stored in the storage unit;a calculation unit configured to calculate parameter evaluation values representing variations in the evaluation values ...

Image search device, image search method, program, and computer-readable storage medium

An image search device is configured to: obtain a plurality of query feature amounts each indicating a local feature of an image serving as a query; select image feature amounts respectively corresponding to the respective query feature amounts so that one image feature amount is selected relative to one of the plurality of query feature amounts for each of a plurality of images to be searched from image feature amounts respectively indicating local features of each of the images to be searched; generate a score indicating a degree of similarity between each of the plurality of images to be searched and the image serving as the query based on the image feature amounts selected relative to the plurality of query feature amounts; and select at least one image from the plurality of images to be searched based on the score generated for the image.

Smart unmanned aerial vehicle for home

The present invention discloses a smart unmanned aerial vehicle for home which includes a route reconnaissance module to respond to reconnaissance instructions which instruct the unmanned aerial vehicle to patrol a house according to a preset flight route; a feature recognition module to recognize family members and different reactions of the family members toward the unmanned aerial vehicle for generating and recording an instruction set for different family members; a control module to generate reconnaissance instructions according to external reconnaissance control signals, wherein when exception occurs, warning signals are generated; the control module interrupts a patrol according to an external patrol interruption signal or when the feature recognition module recognizes the family members; the control module responds or waits for a response to the control signals for actions of the feature recognition module. The present invention is customized for family members, which is able to monitor and etc.

IMAGE CAPTURE AND IDENTIFICATION SYSTEM AND PROCESS

An image-based transaction system includes a mobile device with an image sensor that is programmed to capture, via the image sensor, a video stream of a scene. The mobile device identifies a document using image characteristics from the video stream and acquires an image of at least a part of the document, and then identifies symbols in the image based on locations within the image of the document. The symbols can include alphanumeric symbols. The mobile device processes the symbols according to their type to obtain an address related to the document and the symbols and initiates a transaction associated with the identified document. 1. An image-based transaction system: digitally capturing a video stream of a scene via the image sensor;', 'identifying a document using image characteristics from the digitally captured video stream;', 'automatically acquiring an image of at least part of the document in the scene;', 'identifying symbols, including alphanumeric symbols, in the image based on locations within the image of the document;', 'processing the symbols according to their symbol type;', 'obtaining an address related to the identified document and the processed symbols; and', 'initiating a transaction associated with the identified document via a server., 'a mobile device having an image sensor, wherein the mobile device, when software in the mobile device is executed, is caused to execute operations comprising2. The system of claim 1 , further comprising the server.3. The system of claim 1 , wherein the transaction comprises an on-line transaction.4. The system of claim 1 , wherein the transaction is with an account.5. The system of claim 4 , wherein the transaction is with a bank account.6. The system of claim 4 , wherein the transaction is with at least one of the following types of accounts: an account liked to a user claim 4 , an account linked to the mobile device claim 4 , or a credit card account.7. The system of claim 1 , wherein the document identifies ...

Computing Systems and Methods for Cataloging, Retrieving, and Organizing User-Generated Content Associated with Objects

The present disclosure provides computing systems and methods for cataloging, retrieving, and/or organizing user-generated content associated with objects. Aspects of the disclosure are directed to a systems and methods which utilize computers to enable users to interact with libraries of user-generated content associated with cataloged objects. For example, a user can capture one or more images of a real-world object, label or otherwise annotate the object with various types of user-generated content and organize the object and its associated content into one or more libraries. The user-generated content can then be provided to other users upon the receipt of images of the same object or an object displaying similar features. 1. A computing system for cataloging and retrieving user-generated data associated with objects , the computing system comprising:one or more processors; and receiving a dataset that comprises one or more images captured by a user that depict an object;', 'processing, using an artificial neural network, the dataset to generate an embedding associated with the object;', 'accessing one or more libraries of a plurality of libraries of user-generated content, wherein each of the plurality of libraries comprises one or more cataloged embeddings respectively associated with one or more cataloged objects, wherein each cataloged embedding has been generated from one or more images of the associated cataloged object captured by one or more other users, wherein one or more items of user-generated content are associated with each cataloged object, and wherein the one or more libraries are a subset of the plurality of libraries;', 'identifying, based at least in part on a comparison of the embedding with one or more cataloged embeddings included in the one or more libraries, a closest cataloged embedding of the one or more cataloged embeddings included in the one or more libraries; and', 'providing, for presentation to the user, at least one item of user- ...

Vehicle inspection methods and systems

A vehicle inspection method and system are disclosed. In one aspect, the method includes acquiring a transmission image of an inspected vehicle. The method further includes acquiring a transmission image template of a vehicle model corresponding to the model of the inspected vehicle from a database. The method further includes performing registration on the transmission image of the inspected vehicle and the transmission image template. The method further includes determining a difference between a transmission image after the registration and a transmission image template after the registration, to obtain a difference area of the transmission image of the vehicle relative to the transmission image template. The method further includes processing the difference area to determine whether the vehicle carries a suspicious object or not. In some embodiments, this solution can avoid the problems of a detection loophole and a poor effect of manually determining an image in a conventional manner, and is important to assist the security inspection for small vehicles.

Image processing apparatus, solid object detection method, solid object detection program, and moving object control system

An image processing apparatus installed in a subject vehicle includes an imaging unit 100 that photographs images of a front area (imaging area) in the traveling direction of the subject vehicle and a stereo image processor that detects an object to be detected such as a pedestrian present in the imaging area. The stereo image processor detects a guardrail-analogous object based on a horizontal-parallax image, designates a detection area β based on the detected guardrail-analogous object, and detects the object present in the detection area β.

Telecommunication call management and monitoring system with voiceprint verification

Disclosed is a secure telephone call management system for authenticating users of a telephone system in an institutional facility. Authentication of the users is accomplished by using a personal identification number, preferably in conjunction with speaker independent voice recognition and speaker dependent voice identification. When a user first enters the system, the user speaks his or her name which is used as a sample voice print. During each subsequent use of the system, the user is required to speak his or her name. Voice identification software is used to verify that the provided speech matches the sample voice print. The secure system includes accounting software to limit access based on funds in a user's account or other related limitations. Management software implements widespread or local changes to the system and can modify or set any number of user account parameters.

Systems and methods for determining users associated with devices based on facial recognition of images

Systems, methods, and non-transitory computer readable media can identify a user associated with a device based on a subset of media content items on the device based at least in part on analysis of the subset of media content items. A relationship between the user and one or more other users depicted in the media content items can be determined. A recommendation relating to sending at least one media content item on the device to at least of the one or more other users can be generated based on the determined relationship.

Method and system for processing image data

Provided are a method and system for processing image data, the method comprising: capturing raw image data of multiple images of one or more scenes under one or more lighting conditions; machine vision processing the raw image data to generate machine vision data; classifying the machine vision data according to a type of the machine vision data; and storing the classified machine vision data in a multi-tiered data structure according to the machine vision data type, configured to enable each of the tiers of data to be processed independently of each other.

CONTENT MANAGEMENT DEVICE, CONTENT MANAGEMENT SYSTEM, AND CONTROL METHOD

A content management device includes: a storage that stores (a) a content generated by imaging performed by a first terminal that is at least one of a plurality of terminals, (b) a time at which the imaging of the content was performed, and (c) a history indicating whether each of one or more terminals among the plurality of terminals excluding a second terminal received, during a period that includes the time at which the imaging was performed, a beacon signal transmitted from the second terminal by radio waves, the second terminal being at least one of the plurality of terminals; and a manager that manages the content as a permissible content that is permitted to be presented by the plurality of terminals when determining, with reference to the storage, that each of the one or more terminals received the beacon signal during the period. 1. A content management device , comprising:a storage that stores (a) a content generated by imaging performed by a first terminal that is at least one of a plurality of terminals, (b) a time at which the imaging of the content was performed, and (c) a history indicating whether each of one or more terminals among the plurality of terminals excluding a second terminal received, during a period that includes the time at which the imaging was performed, a beacon signal transmitted from the second terminal by radio waves, the second terminal being at least one of the plurality of terminals; anda manager that manages the content as a permissible content that is permitted to be presented by the plurality of terminals when determining, with reference to the storage, that each of the one or more terminals received the beacon signal during the period.2. The content management device according to claim 1 ,wherein the second terminal transmits the beacon signal at a predetermined time that is repeatedly set,each of the one or more tell finals enters a standby state for receiving the beacon signal during a reception standby period that ...

Similar medical image search

A system for searching for similar medical images includes a reference library in the form of a multitude of medical images, at least some of which are associated with metadata including clinical information relating to the specimen or patient associated with the medical images. A computer system is configured as a search tool for receiving an input image query from a user. The computer system is trained to find one or more similar medical images in the reference library system which are similar to the input image. The reference library is represented as an embedding of each of the medical images projected in a feature space having a plurality of axes, wherein the embedding is characterized by two aspects of a similarity ranking: (1) visual similarity, and (2) semantic similarity such that neighboring images in the feature space are visually similar and semantic information is represented by the axes of the feature space. The computer system supports additional queries from a user to thereby further refine a search for medical images similar to the input image within a search space consisting of the one or more similar medical images.

IMAGE ANALYSIS OF MULTIBAND IMAGES OF GEOGRAPHIC REGIONS

Computer-implemented methods and systems for image analysis of multiband images of geographic regions are described, including a method by one or more computer executing executable instructions stored in one or more non-transitory, tangible, computer readable media, the method comprising: receiving one or more multiband image of a geographic region, the one or more multiband image having pixels; generating a grey level co-occurrence matrix for the pixels in the one or more multiband image; generating a surface index for the one or more multiband image containing information indicative of a surface type represented by one or more of the pixels in the one or more multiband image; and classifying the pixels of the one or more multiband image into one of a group of predefined land cover classes, based on the surface index in combination with the grey level co-occurrence matrix. 1. A computer-implemented method for image analysis by one or more computer executing executable instructions stored in one or more non-transitory , tangible , computer readable media , the method comprising:receiving one or more multiband image of a geographic region, the one or more multiband image having pixels;generating a surface index for the one or more multiband image containing information indicative of a surface type represented by one or more of the pixels in the one or more multiband image;classifying the pixels of the one or more multiband image into one of a group of predefined land cover classes, based on the surface index;receiving information indicative of features within a first multiband image of the one or more multiband image;dividing the first multiband image into segments; andcreating a segment feature index of the features for each segment, wherein the segment feature index comprises a primary feature index, a secondary feature index, and a tertiary feature index.2. The computer-implemented method of claim 1 , wherein generating the surface index includes generating a ...

Private Photo Sharing System, Method and Network

The present invention is a photograph sharing process and/or system that allows professional photographers, who photograph weddings or other events where large numbers of photographs containing varying subject, to send photographs in which a subject or individual appears directly to that particular individual. Thus, the photographs are shared only with intended recipients and may be viewed essentially simultaneously or in close proximity to the photographed event