Video quality measurement

A particular implementation receives a bitstream and derives parameters from the bitstream. The parameters include quantization parameters, content unpredictability parameters, ratios of lost blocks, ratios of propagated blocks, error concealment distances, motion vectors, durations of freezing, and frame rates. Using these parameters, a compression distortion factor, a slicing distortion factor, and a freezing distortion factor are estimated respectively for distortions resulting from video compression, a slicing mode error concealment, and a freezing slicing mode error concealment. The distortion factors are then mapped to a composite video quality score. For applications with limited computational power, the estimation of distortion factors can be simplified. In particular, the compression distortion factor, the slicing distortion factor, and the freezing distortion factor can be predicted from quantization parameters, ratios of lost blocks, and durations of freezing, respectively.

METHOD AND SYSTEM OF SUBSURFACE HORIZON ASSIGNMENT

Subsurface horizon assignment. At least some of the illustrative embodiments are methods including: obtaining, by a computer system, a seismic data volume; identifying, by the computer system, a plurality of patches in the seismic data volume, and the identifying thereby creating a patch volume; displaying, on a display device, at least a portion of the seismic data volume and the plurality of patches of the patch volume; and assigning a patch of the plurality of patches to a subsurface horizon of the seismic data volume. 1. A method comprising:obtaining, by a computer system, a seismic data volume;identifying, by the computer system, a plurality of patches in the seismic data volume, and the identifying thereby creating a patch volume;and then displaying, on a display device, at least a portion of the seismic data volume and the plurality of patches of the patch volume; andassigning a patch of the plurality of patches to a subsurface horizon of the seismic data volume.2. The method of wherein identifying the plurality of patches further comprises:applying the seismic data volume to a horizon tracking algorithm; andcreating the patch volume based on patches identified by the horizon tracking algorithm.3. The method of wherein creating the patch volume further comprises creating the patch volume organized as an array of memory locations claim 2 , each memory location corresponding to a physical volume upon which the seismic data volume is based.4. The method of wherein creating the patch volume further comprises creating the patch volume organized as an array of memory locations claim 2 , each memory location corresponding to a physical volume upon which the seismic data volume is based claim 2 , and each memory location stores an indication of the presence or absence of a portion of a patch at the corresponding physical volume.5. The method of wherein the correspondence between the physical volumes considered together corresponds one-to-one with the volume spanned ...

METHOD FOR MEASURING VIDEO QUALITY USING A REFERENCE, AND APPARATUS FOR MEASURING VIDEO QUALITY USING A REFERENCE

The purpose of an objective video quality evaluation is to automatically assess the quality of video sequences in agreement with human quality perception. The invention addresses the effects of the introduction of a temporal dimension by focusing on the temporal evolutions of spatial distortions, since it has been found that a spatial quality variation cannot be evaluated by simple subtraction of the spatial quality of neighbouring frames. An improved method for estimating perceived video quality comprises steps of calculating a first similarity map between adjacent frames of a current sequence, calculating a second similarity map between the corresponding reference frames, and calculating (smg) a third similarity map, which provides a numerical quality value. 1. A method for measuring video quality of a sequence of distorted video pictures , wherein the respective video pictures are also available as undistorted video pictures , comprising steps ofdividing the pictures into blocks of equal size;{'sub': 'sim,1', 'o': {'@ostyle': 'single', 'CM'}, 'generating a first similarity map, wherein the blocks of a distorted picture f and the corresponding collocated blocks of a temporally neighboring distorted picture f′ are input to a first similarity function f(f,f′)= (f,f′) that outputs a first similarity map;'}{'sub': 0', '0', 'sim,1', '0', '0', '0', '0, 'o': {'@ostyle': 'single', 'CM'}, 'generating a second similarity map, wherein the blocks of an undistorted picture fand the corresponding collocated blocks of a temporally neighboring undistorted picture f′are input to the first similarity function f(f,f′)= (f,f′) that outputs a second similarity map;'}{'sub': sim,2', 'variation', 'sim', '0', '0, 'sup': '2', 'o': [{'@ostyle': 'single', 'CM'}, {'@ostyle': 'single', 'CM'}], 'calculating the similarity between the first similarity map and the second similarity map, wherein a second similarity function f(X,Y) is used according to VQM=f( (f,f′), (f,f′)) and wherein a single ...

Method and apparatus for detecting gradual transition picture in video bitstream

The invention provides a method and apparatus for detecting a gradual transition picture in a bitstream. The method comprises: accessing a bitstream including encoded pictures; and determining a gradual transition picture in the bitstream using information from the bitstream without decoding the bitstream to derive pixel information.

METHOD AND DEVICE FOR LOSSY COMPRESS-ENCODING DATA AND CORRESPONDING METHOD AND DEVICE FOR RECONSTRUCTING DATA

The invention proposes modification of quantized coefficients for signalling of a post-processing method. Therefore, it is proposed a method for lossy compress-encoding data comprising at least one of image data and audio data. Said method comprises determining quantized coefficients using a quantization of a discrete cosine transformed residual of a prediction of said data. Said method further comprises modifying said quantized coefficients for minimizing rate-distortion cost wherein distortion is determined using a post-processed reconstruction of the data, the post-processed reconstruction being post-processed according to a post processing method, and compress-encoding said modified coefficients. In said proposed method, the post-processing method is that one of n>1 different predetermined post processing method candidates whose position in an predetermined order of arrangement of the post processing method candidates equals a remainder of division, by n, of a sum of the modified coefficients. Doing so removes the overhead of flags in the bit stream. 1. Method for lossy compress-encoding data comprising at least one of image data or audio data , said method comprisingdetermining quantized coefficients using a quantization of a discrete cosine transformed residual of a prediction of said data,modifying said quantized coefficients for minimizing rate-distortion cost wherein distortion is determined using a post-processed reconstruction of the data, the post-processed reconstruction being post-processed according to a post-processing method, andcompress-encoding said modified coefficients whereinthe post-processing method is that one of n>1 different predetermined post processing method candidates whose position in an predetermined order of arrangement of the post processing method candidates equals a remainder of division, by n, of a sum of the modified coefficients.2. The method of claim 1 , wherein the reconstruction is determined using said modified ...

VIDEO QUALITY MEASUREMENT CONSIDERING MULTIPLE ARTIFACTS

A particular implementation determines objective distortion levels (d,) respectively for a plurality of artifact types. The objective distortion levels are aligned to ensure that the same distortion level of different types of artifacts corresponds to the same perceived distortion level. The aligned distortion levels (d,′) are sorted to obtain sorted distortion levels (d,″). The sorted distortion levels are then pooled together into an overall distortion level or an overall quality metric. The sorted distortion levels may be pooled using a weighted sum, wherein the weight is larger when the sorted distortion level is greater. 1. A method , comprising:accessing picture data including a plurality of artifact types;sorting aligned distortion levels to obtain sorted distortion levels, wherein each of the aligned distortion levels corresponds to a respective one of the plurality of artifact types, and wherein a particular value of the aligned distortion levels corresponds to a respective perceived distortion level; anddetermining an overall distortion level in response to the sorted distortion levels, wherein a greater sorted distortion level has a greater impact on the overall distortion level.2. The method of claim 1 , wherein the overall distortion level is determined in response to a subset of the sorted distortion levels.3. The method of claim 1 , wherein the overall distortion level is determined in response to a weighted sum of the sorted distortion levels.4. The method of claim 3 , wherein a first weight for a first sorted distortion level is greater than a second weight for a second sorted distortion level if the first sorted distortion level is greater than the second sorted distortion level.5. The method of claim 1 , further comprising:determining a quality metric in response to the overall distortion level.6. The method of claim 1 , further comprising:determining respective objective distortion levels for the plurality of artifact types; andaligning the ...

METHOD AND APPARATUS TO DETECT ARTIFICIAL EDGES IN IMAGES

The present invention generally relates to automatic detection of video artifacts. The present invention relates to automatically detect out the images with visible artifacts due to STB decoding error based on a generated artificial edge map. In particular, the application teaches a method to detect out the images with the visible artifacts and how to identify artificial edges from texture (natural) edges. The present system identifies that artificial edges are most significant in local area, while texture edges are often together with some other texture edges.

USER TERMINAL DEVICE, SERVER DEVICE, SYSTEM AND METHOD FOR ASSESSING QUALITY OF MEDIA DATA

A user terminal device, a server device, a system and a method for assessing quality of media data are described. The user terminal device is used for extracting artefact features from the media data and for communicating the features to the server device which is then used for determining a quality score using the artefacts and an artefact/quality score database accessible by the server device. The score, transmitted to the user terminal device, is presented to a user from which a subjective quality score and a request for re-determination are received which the user terminal device communicates to the server device. This in turn is used for re-determining the quality score and for transmitting back the re-determined quality score wherein the quality score is re-determined using the received artefacts, the received subjective quality score and the artefact/quality score database.

Method of processing an image and corresponding device

A method for processing an image divided into blocks of pixels is disclosed. The method comprises the steps of: detecting, for each block, a largest sub-block whose pixels have an equal luminance value; identifying, for each block, if the detected largest sub-block is or is not a natural texture; determining, for each block, a block blockiness level on the basis of the number of pixels within the detected largest sub-block and on the basis of the identification step; and processing the image on the basis of the block blockiness levels.

Method of processing an image based on the determination of blockiness level

A method for processing an image divided into blocks of pixels is described. The method includes detecting a largest sub-block whose pixels have an equal luminance value and identifying if the detected largest sub-block is or is not a natural texture. Thereafter, a weighted luminance difference is calculated between the detected largest sub-block and neighboring pixels and a block blockiness level is determined on the basis of the number of pixels within the detected largest sub-block, of the identification step and of the weighted luminance difference. The image is then processed on the basis of the block blockiness level.

TEXTURE MASKING FOR VIDEO QUALITY MEASUREMENT

A particular implementation decomposes an image into a structure component and a texture component. An edge strength map is calculated for the structure component, and a texture strength map is calculated for the texture component. Using the edge strength and the texture strength, texture masking weights are calculated. The stronger the texture strength is, or the weaker the edge strength is, the more distortion can be tolerated by human eyes, and thus, the smaller the texture masking weight is. The local distortions are then weighted by the texture masking weights to generate an overall distortion level or an overall quality metric. 1. A method for estimating video quality , comprising:accessing image data having at least one image region;decomposing the image region into a structure component and a texture component;determining an edge strength for the structure component of the image region;determining a texture masking weight in response to the edge strength; anddetermining a quality metric in response to the texture masking weight.2. The method of claim 1 , wherein a bilateral filter is used to decompose the image region into the structure component and the texture component.3. The method of claim 1 , further comprising:determining that an edge exists in the image region if the edge strength exceeds a threshold, wherein the texture masking weight is set such that no texture masking is performed when the edge is determined to exist in the image region.4. The method of claim 1 , further comprising:determining a texture strength for the texture component of the image region, wherein the determining the texture masking weight is in response to the edge strength and the texture strength.5. The method of claim 4 , wherein the texture strength is determined as a variance of the texture component of the image region.6. The method of claim 4 , further comprising:determining that the image region is smooth if the texture strength does not exceed a threshold, wherein the ...

Method and apparatus for context-based video quality assessment

Spatial distortion (i.e., when a frame is viewed independently of other frames in a video sequence) may be quite different from temporal distortion (i.e., when frames are viewed continuously). To estimate temporal distortion, a sliding window approach is used. Specifically, multiple sliding windows around a current frame are considered. Within each sliding window, a large distortion density is calculated and a sliding window with the highest large distortion density is selected. A distance between the current frame and the closest frame with large distortion in the selected window is calculated. Subsequently, the temporal distortion is estimated as a function of the highest large distortion ratio, the spatial distortion for the current frame, and the distance. In another embodiment, a median of spatial distortion values is calculated for each sliding window and the maximum of median spatial distortion values is used to estimate the temporal distortion.

Sign-in system, method, apparatus and server based on facial recognition

A sign-in method and server based on facial recognition are provided. The method includes: receiving a face image of a sign-in user from a sign-in terminal. According to the face image of the sign-in user, whether a target registration user matching the sign-in user exists in a pre-stored registration set is detected. The registration set includes a face image of at least one registration user. Further, the target registration user is confirmed as signed in successfully if the target registration user exists in the registration set.

Texture masking for video quality measurement

A particular implementation decomposes an image into a structure component and a texture component. An edge strength map is calculated for the structure component, and a texture strength map is calculated for the texture component. Using the edge strength and the texture strength, texture masking weights are calculated. The stronger the texture strength is, or the weaker the edge strength is, the more distortion can be tolerated by human eyes, and thus, the smaller the texture masking weight is. The local distortions are then weighted by the texture masking weights to generate an overall distortion level or an overall quality metric.

Method and device for estimating video quality on bitstream level

A method for estimating video quality on bit-stream level, wherein the video quality refers to a video after error concealment and the method is performed on bit-stream level before said error concealment, comprises extracting and/or calculating a plurality of global condition features from a video bit-stream, extracting and/or calculating a plurality of local effectiveness features at least for a lost MB, calculating a numeric error concealment effectiveness level for each (or at least for each lost) MB by emulating an error concealment method that is used in said error concealment, and providing the calculated error concealment effectiveness level as an estimated visible artifacts level of video quality.

Face retrieval method and apparatus, server, and storage medium

A face retrieval method is applied to a face retrieval system and performed by a computing device, the face retrieval system including a retrieval device cluster, the retrieval device cluster including at least one node. The method includes acquiring a face image, parsing the face image to obtain a first facial feature, and generating a first retrieval instruction according to the first facial feature, the first retrieval instruction carrying the first facial feature. The method further includes selecting a first node from the retrieval device cluster according to a load balancing rule, the first node including a first retrieval server. Finally, the method includes transmitting the first retrieval instruction to the first retrieval server, to trigger the first retrieval server to execute the first retrieval instruction to retrieve the first facial feature, to obtain a first retrieval result.

Method and device for processing of an image by regularization of total variation

The invention addresses the problem that traditional Total Variation only enforces the horizontal and vertical intensity continuity and thus fails to reconstruct oblique edges well. In an embodiment, Directional Total Variation is defined which supports multiple gradient directions. It first pre-processes the image and determines the direction of edges/texture; Directional TV is calculated based on the gradients along the determined direction and its orthogonal direction. By utilizing adaptive weights to different directions in the regularization, Directional TV is capable of preserving edges independent from their orientation nicely. Thus, Directional TV regularization based image denoising, compression or super resolution tend to obtain better quality.

DISTORTION/QUALITY MEASUREMENT

Various implementations address distortion and quality measurements. Certain implementations relate to distortions resulting in a freeze-with-skip and/or a freeze-without-skip. In one implementation, a pause term provides an indication of distortion associated with a pause arising from not displaying one or more consecutive pictures that are not to be displayed. A motion term provides an indication of distortion associated with a related change in motion. A combined indicator is based on an addition of the pause term and the motion term. In another particular implementation, a first indicator indicates distortion across one or more types of distortive effects that results from not displaying a first set of pictures. A second indicator indicates corresponding distortion with respect to a second set of pictures. The first indicator and the second indicator are combined in a non-linear manner. 1. A method comprising:accessing information indicating that one or more consecutive pictures from a video sequence are not to be displayed;determining a pause term indicating an amount of distortion associated with a pause arising from not displaying the one or more consecutive pictures that are not to be displayed;determining a motion term indicating an amount of distortion associated with a change in motion arising from not displaying the one or more consecutive pictures that are not to be displayed, wherein the change in motion is one of a jump in motion and a stop in motion, the motion term indicating an amount of distortion arising from the jump in motion occurring from displaying another picture from the video sequence as the next picture displayed after displaying the substantially common picture when the change in motion is the jump in motion, and the motion term indicating an amount of distortion arising from the stop in motion occurring from displaying the substantially common picture during the display time rather than displaying the one or more consecutive pictures ...

Method and apparatus for detecting repetitive structures in 3D mesh models

Discovering repetitive structures in 3D models is a challenging task. A method for detecting repetitive structures in 3D models comprises sampling the 3D model using a current sampling step size, detecting repetitive structures and remaining portions of the model, determining a representative for each of the one or more repetitive structures, and as long as the detecting step yields one or more repetitive structures, reducing the current sampling step size and repeating the steps of sampling and detecting for each detected representative of a detected repetitive structure and for the remaining portions of the model, wherein the reduced sampling step size is used. The described method and device can e.g. be used for 3D model compression, 3D model repairing, or geometry synthesis.

Method and apparatus for video quality assessment based on content complexity

To estimate content complexity of a video, energy of prediction residuals is calculated. The prediction residuals are usually smaller when the video is less complex and more predictable. Scales of prediction residuals also depend on encoding configurations, for example, I pictures usually have larger prediction residuals than P and B pictures even when the contents are very similar and thus have similar perceived content complexity. To more closely reflect the content complexity, alignment scaling factors are estimated for different encoding configurations. Based on the energy of prediction residuals and alignment scaling factors, an overall content unpredictability parameter can be estimated to compute a compression distortion factor for the video. The compression distortion factor, combined with slicing and freezing distortion factors, can be used to estimate a video quality metric for the video.

Method and device for lossy encoding data and corresponding device for reconstructing data

The invention proposes modification of quantized coefficients for signalling of a post-processing method. Therefore, it is proposed a method for lossy compress-encoding data comprising at least one of image data and audio data. Said method comprises determining quantized coefficients using a quantization of a discrete cosine transformed residual of a prediction of said data. Said method further comprises modifying said quantized coefficients for minimizing rate-distortion cost wherein distortion is determined using a post-processed reconstruction of the data, the post-processed reconstruction being post-processed according to a post processing method, and compress-encoding said modified coefficients. In said proposed method, the post-processing method is that one of n>1 different predetermined post processing method candidates whose position in an predetermined order of arrangement of the post processing method candidates equals a remainder of division, by n, of a sum of the modified coefficients ...

BLUR MEASUREMENT

An image is partitioned into a foreground area, a background area, and optionally a transitional area. The partitioning may be pre-defined, or it may be based on user inputs and configuration data. The partitioning may also be refined based on an initial partitioning. Blur measures are determined respectively for the partitioned areas. A blur measure for the whole image can then be determined from a weighted average of the blur measures for the partitioned areas. The blur measure for the image can be used in a video quality monitor. 1. A method , comprising:receiving an image having a foreground area and a background area;determining respective blur measures for the foreground area and the background area; anddetermining a blur measure for the image in response to the blur measures for the foreground area and the background area.2. The method of claim 1 , further comprising:generating a quality measure in response to the blur measure for the image.3. The method of claim 1 , wherein the determining the blur measure for the image comprises weighting the blur measures for the foreground area and the background area.4. The method of claim 1 , further comprising determining a transitional area in the image and determining a blur measure for the transitional area claim 1 , wherein the determining the blur measure for the image is further in response to the blur measure for the transitional area.5. The method of claim 1 , further comprising:determining the foreground area and the background area in response to pre-determined values.6. The method of claim 1 , further comprising:determining the foreground area and the background area in response to at least one of a user input and metadata associated with the image.7. The method of claim 1 , further comprising:initially designating an area of the image to be the foreground area;determining a blur measure for a group of blocks adjacent to the foreground area;determining a difference between the blur measure for the group of ...

METHOD FOR ANIMATING CHARACTERS, WITH COLLISION AVOIDANCE BASED ON TRACING INFORMATION

A method for determining a moving direction or moving velocity for a character in a group comprises reading tracing information from a cell in a terrain map on which the character is located, determining if collision avoidance is needed, and if a collision avoiding manoeuvre is necessary then updating the tracing information in the current terrain cell. 1. A method for determining for a character in a group at least one of a moving direction and a moving velocity , the method comprising steps ofreading tracing information from a current cell in a terrain map on which the character is located;determining if collision avoidance is needed;if not, advancing the character according to its previous direction and previous velocity;if so, searching, for at least one of a matching direction and velocity;if a matching direction and/or velocity is found, computing a time-to-collision, and comparing the computed time-to-collision with a predetermined range;if the time-to-collision is within the predetermined range, then advancing the character according to the found matching direction and/or velocity; andif no matching direction and/or velocity is found, or if the time-to-collision is outside the predetermined range, then performing a manoeuvre for collision avoiding, and updating the tracing information in the current cell in the terrain map.2. Method according to claim 1 , wherein a cell of the terrain map has a diameter d according to d<Δt*V claim 1 , wherein Δt is a simulation time step and Vis a given preference speed of characters.3. Method according to claim 1 , wherein multiple characters are employed and the given preference speed of characters is identical for all characters.4. Method according to claim 2 , wherein the read tracing information of a cell influences the individual behaviour of at least the next character entering the cell claim 2 , not the group behaviour in general.5. Method according to claim 2 , wherein the step of determining if collision avoidance ...

Method for animating characters, with collision avoidance based on tracing information

A method for determining a moving direction or moving velocity for a character in a group comprises reading tracing information from a cell in a terrain map on which the character is located, determining if collision avoidance is needed, and if a collision avoiding maneuver is necessary then updating the tracing information in the current terrain cell.

Method and apparatus for video quality measurement

Accuracy and efficiency of video quality measurement are major problems to be solved. According to the invention, a method for accurately predicting video quality uses a rational function of the quantization parameter QP, which is corrected by a correction function that depends on content unpredictability CU. Exemplarily, the correction function is a power function of the CU. Both QP and CU can be computed from the video elementary stream, without full decoding the video. This ensures high efficiency.

Method and device for calculating blur in video images

Blur is one of the most important features related to image quality. Accurately estimating the blur level of an image is a great help to accurately evaluate its quality. A method for calculating blur of video images comprises calculating a horizontal blur value, and determining characteristic parameters of the video images, including at last progressive/interlaced and spatial resolution level. If the video images are progressive, also a vertical blur value is calculated, and combined with the horizontal blur value. The next step is normalizing the horizontal blur value, or the combined horizontal and vertical blur value, according to predefined min and max values, wherein the min and max values are adapted to the spatial resolution level.

ENCODING AND DECODING METHODS, DEVICES IMPLEMENTING SAID METHODS AND BITSTREAM

The invention relates to a method for encoding a plurality of non overlapping blocks in a picture. The method comprises the steps of: transforming each of the blocks into a transformed block of coefficients in the frequency domain by applying a predefined transform; scanning the coefficients of at least two neighboring transformed blocks jointly from the lowest frequency to the highest frequency according to a predefined scanning pattern, the group of at least two neighboring transformed blocks being called super-block; and entropy coding the scanned coefficients of the super-block into an entropy coded group of bits.

METHOD AND DEVICE FOR PROCESSING OF AN IMAGE

The invention addresses the problem that traditional Total Variation only enforces the horizontal and vertical intensity continuity and thus fails to reconstruct oblique edges well. In an embodiment, Directional Total Variation is defined which supports multiple gradient directions. It first pre-processes the image and determines the direction of edges/texture; Directional TV is calculated based on the gradients along the determined direction and its orthogonal direction. By utilizing adaptive weights to different directions in the regularization, Directional TV is capable of preserving edges independent from their orientation nicely. Thus, Directional TV regularization based image denoising, compression or super resolution tend to obtain better quality. 1. Method for processing of an image , said method comprising the steps ofpre-processing the image for determining at least one predominant direction of at least one of edges and texture;determining a total variation of the image using a weighted sum of variations along the at least one predominant direction and along a direction orthogonal to the at least one predominant direction; andprocessing the image using regularization of the total variation.2. Method of claim 1 , wherein pre-processing comprises dividing the image into patches and determining a predominant direction for each patch.3. Method of claim 1 , wherein pre-processing comprises calculating gradients for each patch claim 1 , calculating an energy function for each gradient claim 1 , calculating a ratio between energy functions of orthogonal gradients claim 1 , and determining the predominant direction according to the ratio between the energy functions.4. Method of claim 3 , wherein pre-processing comprises determining that the at least one predominant direction has an energy function ratio further exceeding claim 3 , by at least a predetermined positive threshold claim 3 , each energy function ratio of gradients in different directions.5. Method of ...

METHOD OF PROCESSING AN IMAGE

The invention relates to a method for processing an image divided into blocks of pixels comprising the steps of: detecting, for each block, a largest sub-block whose pixels have an equal luminance value; identifying, for each block, if the detected largest sub-block is or is not a natural texture; calculating, for each block, a weighted luminance difference between the detected largest sub-block and neighboring pixels; determining, for each block, a block blockiness level on the basis of the number of pixels within the detected largest sub-block, of said identification step and of said weighted luminance difference; and processing the image on the basis of the block blockiness levels.

Method and apparatus for measuring video quality using at least one semi-supervised learning regressor for mean observer score prediction

The invention is made in the technical field of video quality measurement. More precisely, the invention is related to mean observer score prediction using a trained semi-supervised learning regressor. That is, a method and apparatus for measuring video quality using a semi-supervised learning system for mean observer score prediction is proposed. Said semi-supervised learning system comprises at least one semi-supervised learning regressor and said method comprises training the learning system and retraining the trained learning system using a selection of test data wherein the test data is used for determining at least one mean observer score prediction using the trained learning system and the selection is indicated by a feedback received through a user interface upon presenting, in the user interface, said at least one mean observer score prediction. Doing so, prediction quality can be improved after re-training at least for the selection.

METHOD FOR EMBEDDING VIDEO ANNOTATION DATA INTO A CODED VIDEO STREAM AND VIDEO RECORDING DEVICE

The invention concerns a method for embedding video annotation data into a coded video stream. The method comprises the step ofencapsulating said video annotation data into a unit, so-called video annotation unit, of the coded video data stream which format corresponds to at least one format used for sending the associated video data,inserting an identifiable synchronizing code enabling the identification of said video annotation unit into the video data stream.

Video quality measurement considering multiple artifacts

A particular implementation determines objective distortion levels (d,) respectively for a plurality of artifact types. The objective distortion levels are aligned to ensure that the same distortion level of different types of artifacts corresponds to the same perceived distortion level. The aligned distortion levels (d,′) are sorted to obtain sorted distortion levels (d,″). The sorted distortion levels are then pooled together into an overall distortion level or an overall quality metric. The sorted distortion levels may be pooled using a weighted sum, wherein the weight is larger when the sorted distortion level is greater.

Method and system of subsurface horizon assignment

Subsurface horizon assignment. At least some of the illustrative embodiments are methods including: obtaining, by a computer system, a seismic data volume; identifying, by the computer system, a plurality of patches in the seismic data volume, and the identifying thereby creating a patch volume; displaying, on a display device, at least a portion of the seismic data volume and the plurality of patches of the patch volume; and assigning a patch of the plurality of patches to a subsurface horizon of the seismic data volume.

Distortion/quality measurement

Various implementations address distortion and quality measurements. Certain implementations relate to distortions resulting in a freeze-with-skip and/or a freeze-without-skip. In one implementation, a pause term provides an indication of distortion associated with a pause arising from not displaying one or more consecutive pictures that are not to be displayed. A motion term provides an indication of distortion associated with a related change in motion. A combined indicator is based on an addition of the pause term and the motion term. In another particular implementation, a first indicator indicates distortion across one or more types of distortive effects that results from not displaying a first set of pictures. A second indicator indicates corresponding distortion with respect to a second set of pictures. The first indicator and the second indicator are combined in a non-linear manner.

METHOD FOR ADAPTIVE ENTROPY CODING OF TREE STRUCTURES

In 3D mesh coding, the geometry data is compressed by spatial tree based approaches. Bitstreams that result from the traversal of a tree structure of spatial tree based approaches for encoding 3D mesh models have systematically special redundancies, which is exploited for further improving the mesh model compression. A method for encoding a bitstream comprises steps of defining at least a first and a second symbol group of binary symbols, with S1 being a subset of S2, determining within the bitstream first portions, second portions and third portions, wherein first portions have Th1 or more consecutive S1 symbols and second portions have Th2 or more consecutive S2 symbols, encoding the bitstream, wherein first portions, second portions and third portions are encoded using different codes, and encoding values indicating the boundary positions between the first, second and third portions in the bitstream.

METHOD FOR PROCESSING AN IMAGE

A method for processing an image divided into blocks of pixels is disclosed. The method comprises the steps of: 1. A method for processing an image divided into blocks of pixels comprising the steps of:detecting, for each block, a largest sub-block whose pixels have an equal luminance value;identifying, for each block, if the detected largest sub-block is or is not a natural texture;determining, for each block, a block blockiness level on the basis of the number of pixels within the detected largest sub-block and on the basis of said identification step; andprocessing said image on the basis of said block blockiness levels.2. A method according to claim 1 , said method further comprises determining an image blockiness level for said image by averaging the block blockiness levels and wherein said image is processed on the basis of said image blockiness level.3. A method according to claim 1 , wherein said processing step comprises one of the steps belonging to the set comprising:encoding step;filtering step; anddistributing step.4. A method according to claim 1 , wherein the identification step comprises claim 1 , when a deblocking filter is applied on said image claim 1 , identifying the detected largest sub-block as natural texture when the detected largest sub-block reaches at least two opposite block borders.5. A method according to claim 1 , wherein the identification step comprises claim 1 , when no deblocking filter is applied on said image or when no information is provided on if deblocking filter is applied or not claim 1 , identifying the detected largest sub-block as natural texture when the detected largest sub-block exceeds at least two opposite block borders.8. A device for processing an image divided into blocks of pixels comprising:an element for detecting, for each block, a largest sub-block whose pixels have an equal luminance value;an element for identifying, for each block, if the detected largest sub-block is or is not a natural texture;an ...

Method and device for calculating distortion of a video being affected by compression artifacts and channel artifacts

In video quality control and estimation, the joint evaluation of compression artifacts and channel artifacts is a problem. The invention considers the joint perception of both a compression artifact level Dm(V) and a channel artifact level Dh(V) in a method for calculating overall distortion in a video being affected by compression artifacts and channel artifacts. The method comprises a step of adding a compression artifact level Dm(V) and a summand S that is derived from log (Dh(V)) multiplied with a factor that decreases with increasing compression artifact level Dm, such as D(V)=Dm(V)+c·(K−Dm(V))·log(Dh(V)). The result obtained is a measure for the overall distortion.

IMAGE QUALITY MEASUREMENT BASED ON LOCAL AMPLITUDE AND PHASE SPECTRA

A method and system for determining a quality metric score for image processing are described including accepting a reference image, performing a pyramid transformation on the accepted reference image to produce a predetermined number of scales, applying image division to each scale to produce reference image patches, accepting a distorted image, performing a pyramid transformation on the accepted distorted image to produce the predetermined number of scales, applying image division to each scale to produce distorted image patches, performing a local distortion calculation for corresponding reference and distorted image patches, summing local distortion calculation results for image patch pairs, multiplying results of the summation operation by a positive weight for each scale, summing the results of the multiplication operation and applying a sigmoid function to results of the second summation operation to produce the quality metric score.

METHOD AND APPARATUS FOR VIDEO QUALITY MEASUREMENT

Accuracy and efficiency of video quality measurement are major problems to be solved. According to the invention, a method for accurately predicting video quality uses a rational function of the quantization parameter QP, which is corrected by a correction function that depends on content unpredictability CU. Exemplarily, the correction function is a power function of the CU. Both QP and CU can be computed from the video elementary stream, without full decoding the video. This ensures high efficiency. 1. A method for estimating video quality of an encoded video stream , the encoded video stream comprising macroblock prediction residuals , the method comprising a step of calculating , for a video sequence comprising a plurality of frames , an overall quality score Q from a basic quality score Qb multiplied by a correction factor Qc ,{'o': {'@ostyle': 'single', 'QP'}, 'wherein the basic quality score Qb is obtained from an average quantization parameter of the frames of the video sequence, and wherein the correction factor Qc is obtained from an average pixel variance within the prediction residuals of macroblocks in the video sequence.'}2. The method according to claim 1 , further comprising steps of performing QP parsing and averaging the QPs within a MB for determining an average QP.3. The method according to claim 1 , further comprising steps of calculating claim 1 , according to the DCT coefficients and the quantization parameter of the macroblocks claim 1 , a first value CUthat represents a local Content Unpredictability claim 1 , the first value being a pixel variance of the prediction residuals claim 1 , and a second value CUthat represents a global Content Unpredictability claim 1 , wherein the second value is calculated by averaging the first values.4. The method according to claim 1 , further comprising steps of{'sub': b', 'b', 'b, 'o': {'@ostyle': 'single', 'QP'}, 'determining said basic quality score Qb according to a linear function of the form x/(1+x), ...

Distortion/quality measurement

Various implementations address distortion and quality measurements related to, for example, freeze-with-skip and/or a freeze-without-skip events. In several implementations, information is accessed indicating that a first and second set of one or more consecutive pictures are not to be displayed. A first and second indicator are determined. In one such implementation, the first and second indicators indicate an amount of distortion across one or more types of distortive effects that result from displaying substantially a first, or second, same picture during a display time for the first, or second, set of pictures. The first and second indicators are combined in a non-linear manner. In another such implementation, the distortion is associated with a given type of distortive effect, from among multiple types of distortive effects, and the first and second indicators are combined for the given type of distortive effect.

Interactive method, interactive terminal, storage medium, and computer device

An interactive method is provided for an interactive terminal. The method includes obtaining visitor voice data of a visitor; and performing word segmentation on a text obtained by recognizing the visitor voice data, to obtain a feature word set. The method also include determining, according to a topic generation model and the feature word set, a determined topic to which the text belongs; and separately obtaining appearing probabilities corresponding to feature words in the feature word set when the feature words belong to the determined topic. The method further includes selecting a feature word from the feature words of the feature word set according to the appearing probabilities corresponding to the feature words; and obtaining and outputting visitor interactive content corresponding to the selected feature word.

METHOD AND APPARATUS FOR MEASURING VIDEO QUALITY USING AT LEAST ONE SEMI-SUPERVISED LEARNING REGRESSOR FOR MEAN OBSERVER SCORE PREDICTION

The invention is made in the technical field of video quality measurement. More precisely, the invention is related to mean observer score prediction using a trained semi-supervised learning regressor. That is, a method and apparatus for measuring video quality using a semi-supervised learning system for mean observer score prediction is proposed. Said semi-supervised learning system comprises at least one semi-supervised learning regressor and said method comprises training the learning system and retraining the trained learning system using a selection of test data wherein the test data is used for determining at least one mean observer score prediction using the trained learning system and the selection is indicated by a feedback received through a user interface upon presenting, in the user interface, said at least one mean observer score prediction. Doing so, prediction quality can be improved after re-training at least for the selection. 1. Method for measuring video quality using a semi-supervised learning system for mean observer score prediction , said semi-supervised learning system comprising at least one semi-supervised learning regressor , said method comprising training the learning system and retraining the trained learning system using a selection of test data wherein the test data is used for determining at least one mean observer score prediction using the trained learning system and the selection is indicated by a feedback received through a user interface upon presenting , in the user interface , said at least one mean observer score prediction.2. Method according to claim 1 , wherein said method further comprises receiving a label through said interface and using said label for labelling at least a part of the selection for re-training.3. Method according to claim 1 , said method comprises using training data used for training the learning system for re-training claim 1 , also claim 1 , wherein contribution of the selection and the training data ...

User terminal device, server device, system and method for assessing quality of media data

A user terminal device, a server device, a system and a method for assessing quality of media data are described. The user terminal device is used for extracting artifact features from the media data and for communicating the features to the server device which is then used for determining a quality score using the artifacts and an artifact/quality score database accessible by the server device. The score, transmitted to the user terminal device, is presented to a user from which a subjective quality score and a request for re-determination are received which the user terminal device communicates to the server device. This in turn is used for re-determining the quality score and for transmitting back the re-determined quality score wherein the quality score is re-determined using the received artifacts, the received subjective quality score and the artifact/quality score database.

Method and apparatus for assessing quality of video stream

Objective video quality assessment models at media-layer or at packet-layer are known for estimating audio/video quality of experience. Existing models are not able to provide stable performance. A method for enabling quality assessment of a stream of frames of video data comprises receiving a sequence of packets, generating a set of parameters and inserting said generated set of parameters as side information into said stream of frames, wherein at least one parameter refers to a video slice level. A method for assessing the quality of a stream of frames of video data comprises receiving a sequence of packets, extracting a set of parameters from said sequence of packets and generating an estimated mean opinion score, wherein the video data comprise a slice level and wherein the extracted set of parameters comprises at least one parameter that refers to a video slice level.

Video Quality Assessment At A Bitstream Level

A macroblock in a video sequence may be undecodable because the corresponding compressed data is lost or the syntax is out of synchronization. An undecodable macroblock may be concealed using error concealment technique. The level of initial visible artifacts caused by undecodable macroblocks may be estimated as a function of motion magnitude, error concealment distance, and/or residual energy. The initial visible artifacts may propagate spatially or temporally to other macroblocks through prediction. Considering both initial visible artifacts and propagated artifacts, levels of overall artifacts may be estimated for individual macroblocks. The visual quality for the video sequence can then be estimated by pooling the macroblock level artifact levels.

Blur measurement

An image is partitioned into a foreground area, a background area, and optionally a transitional area. The partitioning may be pre-defined, or it may be based on user inputs and configuration data. The partitioning may also be refined based on an initial partitioning. Blur measures are determined respectively for the partitioned areas. A blur measure for the whole image can then be determined from a weighted average of the blur measures for the partitioned areas. The blur measure for the image can be used in a video quality monitor.

METHOD AND DEVICE FOR DETERMINING A MOTION VECTOR FOR A CURRENT BLOCK OF A CURRENT VIDEO FRAME

A method for determining a motion vector for a current video frame block comprises determining the motion vector using full search. Then, a number of further motion vectors is counted which is the number of motion vectors of neighbouring blocks which are similar to each other and the motion vector. Then it is ascertained that the number meets or exceeds a threshold and that the motion vector is not similar to at least one of the counted further motion vectors. A search region is determined using counted motion vectors and searched for a local best match of the current block. The motion vector is changed towards referencing the local best match. The search region only comprises candidates referenced by motion vector candidates similar to a yet further motion vector pointing to a centre of the further search region. Then, the motion vector resembles the motion presumed by the HVS. 110-. (canceled)11. Method for determining a motion vector for a current block of a current video frame , said method comprising the steps ofdetermining the motion vector using full search over an entire reference video frame as search region for a global best match of the current block,counting a number of further motion vectors for further blocks neighbouring the current block wherein only those further motion vectors are counted which are similar to the motion vector and which are further similar to each other,ascertaining that the number meets or exceeds a threshold and that the motion vector is not similar to at least one of the counted further motion vectors, andusing the counted further motion vectors for determining a further search region, searching, in the further search region, a local best match of the current block and changing the motion vector towards referencing the local best match, the further search region being determined such that all candidates for the local best match are referenced by motion vector candidates similar to a yet further motion vector pointing to a centre ...

METHOD AND DEVICE FOR CALCULATING BLUR IN VIDEO IMAGES

Blur is one of the most important features related to image quality. Accurately estimating the blur level of an image is a great help to accurately evaluate its quality. A method for calculating blur of video images comprises calculating a horizontal blur value, and determining characteristic parameters of the video images, including at last progressive/interlaced and spatial resolution level. If the video images are progressive, also a vertical blur value is calculated, and combined with the horizontal blur value. The next step is normalizing the horizontal blur value, or the combined horizontal and vertical blur value, according to predefined min and max values, wherein the min and max values are adapted to the spatial resolution level.

Method and apparatus for context-based video quality assessment

Because neighboring frames may affect how a current frame is perceived, we examine different neighborhoods of the current frame and select a neighborhood that impacts the perceived temporal distortion (i.e., when frames are viewed continuously) of the current frame most significantly. Based on spatial distortion (i.e., when a frame is viewed independently of other frames in a video sequence) of frames in the selected neighborhood, we can estimate initial temporal distortion. To refine the initial temporal distortion, we also consider the distribution of distortion in the selected neighborhood, for example, the distance between the current frame and a closest frame with large distortion, or whether distortion occurs in consecutive frames.

METHOD AND APPARATUS FOR ASSESSING QUALITY OF VIDEO STREAM

Objective video quality assessment models at media-layer or at packet-layer are known for estimating audio/video quality of experience. Existing models are not able to provide stable performance. A method for enabling quality assessment of a stream of frames of video data comprises receiving a sequence of packets, generating a set of parameters and inserting said generated set of parameters as side information into said stream of frames, wherein at least one parameter refers to a video slice level. A method for assessing the quality of a stream of frames of video data comprises receiving a sequence of packets, extracting a set of parameters from said sequence of packets and generating an estimated mean opinion score, wherein the video data comprise a slice level and wherein the extracted set of parameters comprises at least one parameter that refers to a video slice level.

METHOD AND DEVICE FOR ENCODING DATA FOR RENDERING AT LEAST ONE IMAGE USING COMPUTER GRAPHICS AND CORRESPONDING METHOD AND DEVICE FOR DECODING

The invention is made in the field of image codec products. More precisely, the invention relates to encoding and decoding of data for image rendering using computer graphics. A method for decoding data for rendering at least one image using computer graphics is proposed, said method comprising decoding a portion of a bit stream, said portion comprising a syntax element and at least one parameter for a parameter based procedural computer graphics generation method for generating said computer graphics, said syntax element indicating that said portion further comprises said at least one parameter. Further, an apparatus for performing said method is proposed. 1. Method for decoding data for rendering at least one image using computer graphics , said method comprising decoding a portion of a bit stream , said portion comprising a syntax element and at least one parameter for a parameter based procedural computer graphics generation method for generating said computer graphics , said syntax element indicating that said portion further comprises said at least one parameter.2. Method of claim 1 , said method further comprising: decoding a different portion of said bit stream claim 1 , said different portion comprising a further syntax element and coefficient information for determining an invertible transform of at least one pixel block to-be-used for rendering of the at least one image claim 1 , said further syntax element indicating that said different portion further comprises said coefficient information.3. Method for encoding data for rendering at least one image using computer graphics claim 1 , said method comprising encoding claim 1 , into a resultant portion of a bit stream claim 1 , a syntax element and at least one parameter for a parameter based procedural computer graphics generation method for generating said computer graphics claim 1 , said syntax element indicating that said portion further comprises said at least one parameter.4. Method of further ...

Video stream decoding method and apparatus, terminal device, and storage medium

A video stream decoding method is provided. The video stream decoding method is performed by a terminal device. The method includes receiving a plurality of video streams from a monitoring device; generating a plurality of threads in a thread pool corresponding to a graphics processing unit (GPU); and transmitting, according to the plurality of threads, the plurality of video streams to the GPU for video decoding processing to obtain a plurality of pieces of decoded video data.

Method and apparatus for measuring video quality

A method and apparatus for measuring the quality of a video sequence, which includes a plurality of frames, among which one or more consecutive frames are lost, wherein during the displaying of the video sequence, the one or more lost frames are substituted by an immediate preceding frame in the video sequence during a period from the displaying of the immediate preceding frame to that of an immediate subsequent frame of the one or more lost frames, the method includes measuring the quality of the video sequence as a function of a first parameter (DF) relating to the stability of the immediate preceding frame during the period, a second parameter (DD) relating to the continuity between the immediate preceding frame and the immediate subsequent frame, and a third parameter (DP) relating to the coherent 20 motions of the video sequence.

METHOD AND DEVICE FOR ASSESSING PACKET DEFECT CAUSED DEGRADATION IN PACKET CODED VIDEO

Because of the encoding, decoding, and/or transmitting characteristic, the blocks affected by packet defect usually gather in a small spatial/temporal area. The viewers perception of each affected block will influence by other affected block in this small area. The invention proposes using processing means for clustering blocks affected by the packet loss into at least one cluster, for using at least one of spatial and temporal characteristics of the at least one cluster for determining a visibility value of the at least one cluster, for classifying the at least one cluster as belonging into one of at least two different class candidates, wherein each class candidate is associated with a different weight; for weighting the determined visibility value with the weight associated with the class of the at least one cluster, and for assessing the degradation of the video using a sum of the weighted visibility value. 1. A method for assessing packet defect caused degradation in packet coded video , the method using artefact features detected at block level and comprising using processing means:for clustering blocks affected by the packet loss into at least one cluster,for using at least one of spatial and temporal characteristics of the at least one cluster for determining a visibility value of the at least one cluster,for classifying the at least one cluster as belonging into one of at least two different class candidates, wherein each class candidate is associated with a different weight;for weighting the determined visibility value with the weight associated with the class of the at least one cluster, andfor assessing the degradation of the video using a sum of the weighted visibility value.2. Method of claim 1 , wherein clustering comprises(a) initializing the at least one cluster using the blocks in which perceivable artefacts resulting from the packet loss are detected;(b) determining blocks not-yet-comprised in the at least one cluster which are predictive encoded ...

METHOD AND APPARATUS FOR DETECTING REPETITIVE STRUCTURES IN 3D MESH MODELS

Discovering repetitive structures in 3D models is a challenging task. A method for detecting repetitive structures in 3D models comprises sampling the 3D model using a current sampling step size, detecting repetitive structures and remaining potions of the model, determining a representative for each of the one or more repetitive structures, and as long as the detecting step yields one or more repetitive structures, reducing the current sampling step size and repeating the steps of sampling and detecting for each detected representative of a detected repetitive structure and for the remaining portions of the model, wherein the reduced sampling step size is used. The described method and device can e.g. be used for 3D model compression, 3D model repairing, or geometry synthesis.

METHOD AND APPARATUS FOR MEASURING VIDEO QUALITY

The present invention provides a method and corresponding apparatus for measuring the quality of a video sequence. The video sequence is comprised of a plurality of frames, among which one or more consecutive frames are lost. During the displaying of the video sequence, said one or more lost frames are substituted by an immediate preceding frame in the video sequence during a period from the displaying of said immediate preceding frame to that of an immediate subsequent frame of said one or more lost frames. The method comprises: measuring the quality of the video sequence as a function of a first parameter relating to the stability of said immediate preceding frame during said period, a second parameter relating to the continuity between said immediate preceding frame and said immediate subsequent frame, and a third parameter relating to the coherent motions of the video sequence. 1. A method for measuring the quality of a video sequence comprising of a plurality of frames , among which one or more consecutive frames are lost , wherein during the displaying of the video sequence , said one or more lost frames are substituted by an immediate preceding frame in the video sequence during a period from the displaying of said immediate preceding frame to that of an immediate subsequent frame of said one or more lost frames , wherein the method comprises:{'sub': F', 'D', 'P, 'measuring the quality of the video sequence as a function of a first parameter (D) relating to the stability of said immediate preceding frame during said period, a second parameter (D) relating to the continuity between said immediate preceding frame and said immediate subsequent frame, and a third parameter (D) relating to the coherent motions of the video sequence.'}2. Method according to claim 1 , wherein the quality of the video sequence is measured as a linear combination (K×D+K×D+K×D) of the first parameter (D) claim 1 , the second parameter (D) and the third parameter (D) claim 1 ,{'sub': 1 ...

VIDEO QUALITY ASSESSMENT CONSIDERING SCENE CUT ARTIFACTS

A particular implementation detects scene cut artifacts in a bitstream without reconstructing the video. A scene cut artifact is usually observed in the decoded video (1) when a scene cut picture in the original video is partially received or (2) when a picture refers to a lost scene cut picture in the original video. To detect scene cut artifacts, candidate scene cut pictures are first selected and scene cut artifact detection is then performed on the candidate pictures. When a block is determined to have a scene cut artifact, a lowest quality level is assigned to the block. 1. A method , comprising:accessing a bitstream including encoded pictures; anddetermining a scene cut artifact in the bitstream using information from the bitstream without decoding the bitstream to derive pixel information.2. The method of claim 1 , wherein the determining comprises:determining respective difference measures in response to at least one of frame sizes, prediction residuals, and motion vectors between a set of pictures from the bitstream, wherein the set of pictures includes at least one of a candidate scene cut picture, a picture preceding the candidate scene cut picture, and a picture following the candidate scene cut picture; anddetermining that the candidate scene cut picture is a picture with the scene cut artifact if one or more of the difference measures exceed their respective pre-determined thresholds.3. The method of claim 2 , the determining the respective difference measures further comprising:calculating prediction residual energy factors corresponding to a block location for pictures of the set of pictures; andcomputing a difference measure for the block location using the prediction residual energy factors, wherein the difference measure for the block location is used to compute the difference measure for the candidate scene cut picture.4. The method of claim 2 , further comprising at least one of:selecting an intra picture as the candidate scene cut picture if ...

3D MESH MODEL AND METHOD FOR CREATING THE 3D MESH MODEL

For improving the compression efficiency of 3D model processing, easier discovering of repetitive patterns is required. The invention enables simplified and improved compression of 3D models by using a pattern-instance record table, which provides the pattern-instance relationship for all instances of repetitive patterns within a 3D object. A 3D mesh model comprises data of a first reference 3D mesh model, an electronic pattern-instance record table comprising first and second instance data, wherein the first instance data points to the first reference 3D mesh model and the second instance data points to the first or a further reference 3D mesh model, and an instance record for third instance data of at least one secondary 3D mesh model instance, wherein the third instance data comprise said first and second instance data or references to said first and second instance data. 1. A 3D mesh model stored in an electronic storage device , comprisingdata of at least one first reference 3D mesh model; and wherein the first instance data comprise a reference to the first reference 3D mesh model, first position data, first orientation data and first scaling data, and the second instance data comprise a reference to the first or a further reference 3D mesh model, second position data, second orientation data and second scaling data, and', 'said electronic pattern-instance record table further comprising an instance record for third instance data of at least one secondary 3D mesh model instance, wherein the third instance data comprise said first and second instance data, or the third instance data comprising references to said first and second instance data, and the first and second instance data have no instance record in the pattern-instance record table., 'an electronic pattern-instance record table comprising first and second instance data,'}2. The 3D mesh model according to claim 1 , wherein said first claim 1 , second and third instance data are associated as metadata ...

DISTORTION/QUALITY MEASUREMENT

Various implementations address distortion and quality measurements related to, for example, freeze-with-skip and/or a freeze-without-skip events. In several implementations, information is accessed indicating that a first and second set of one or more consecutive pictures are not to be displayed. A first and second indicator are determined. In one such implementation, the first and second indicators indicate an amount of distortion across one or more types of distortive effects that result from displaying substantially a first, or second, same picture during a display time for the first, or second, set of pictures. The first and second indicators are combined in a non-linear manner. In another such implementation, the distortion is associated with a given type of distortive effect, from among multiple types of distortive effects, and the first and second indicators are combined for the given type of distortive effect. 1. A method comprising:accessing information indicating that a first set of one or more consecutive pictures from a video sequence are not to be displayed;accessing information indicating that a second set of one or more consecutive pictures from the video sequence are not to be displayed, the second set being separate from the first set in the video sequence;determining a first indicator, the first indicator indicating an amount of distortion associated with a given type of distortive effect, from among multiple types of distortive effects, that results from displaying the video sequence with substantially a common first picture displayed during a display time for the first set of pictures;determining a second indicator, the second indicator indicating an amount of distortion associated with the given type of distortive effect that results from displaying the video sequence with substantially a common second picture displayed during a display time for the second set of pictures; andcombining the first indicator and the second indicator to produce a ...

Method and apparatus to detect artificial edges in images

The present invention generally relates to automatic detection of video artifacts. The present invention relates to automatically detect out the images with visible artifacts due to STB decoding error based on a generated artificial edge map. In particular, the application teaches a method to detect out the images with the visible artifacts and how to identify artificial edges from texture (natural) edges. The present system identifies that artificial edges are most significant in local area, while texture edges are often together with some other texture edges.

Method for measuring video quality using a reference, and apparatus for measuring video quality using a reference

The purpose of an objective video quality evaluation is to automatically assess the quality of video sequences in agreement with human quality perception. The invention addresses the effects of the introduction of a temporal dimension by focusing on the temporal evolutions of spatial distortions, since it has been found that a spatial quality variation cannot be evaluated by simple subtraction of the spatial quality of neighboring frames. An improved method for estimating perceived video quality comprises steps of calculating a first similarity map between adjacent frames of a current sequence, calculating a second similarity map between the corresponding reference frames, and calculating (smg3) a third similarity map, which provides a numerical quality value.

VIDEO STREAM DECODING METHOD AND APPARATUS, TERMINAL DEVICE, AND STORAGE MEDIUM

A video stream decoding method is provided. The video stream decoding method is performed by a terminal device. The method includes receiving a plurality of video streams from a monitoring device; generating a plurality of threads in a thread pool corresponding to a graphics processing unit (GPU); and transmitting, according to the plurality of threads, the plurality of video streams to the GPU for video decoding processing to obtain a plurality of pieces of decoded video data. 1. A video stream decoding method , performed by a terminal device , the video stream decoding method comprising:receiving a plurality of video streams from a monitoring device;generating a plurality of threads in a thread pool corresponding to a graphics processing unit (GPU); andtransmitting, according to the plurality of threads, the plurality of video streams to the GPU for video decoding processing to obtain a plurality of pieces of decoded video data.2. The video stream decoding method according to claim 1 , wherein the generating a plurality of threads in a thread pool corresponding to a GPU comprises:obtaining an inputted thread quantity; andgenerating the threads in the thread pool corresponding to the GPU according to the thread quantity.3. The video stream decoding method according to claim 1 , wherein the generating a plurality of threads in a thread pool corresponding to a GPU comprises:obtaining a video stream quantity of the plurality of video streams; andgenerating treads in the thread pool corresponding to the GPU, a quantity of the threads being the same as the video stream quantity,.4. The video stream decoding method according to claim 3 , wherein the transmitting claim 3 , according to the plurality of threads claim 3 , the plurality of video streams to the GPU for video decoding processing to obtain a plurality of pieces of decoded video data comprises:allocating one thread in the plurality of threads for each video stream in the plurality of video streams in a one-to- ...

Pictorial summary of a video

Various implementations relate to providing a pictorial summary, also referred to as a comic book or a narrative abstraction. In one particular implementation, one or more parameters from a configuration guide are accessed. The configuration guide includes one or more parameters for configuring a pictorial summary of a video. The video is accessed. The pictorial summary for the video is generated. The pictorial summary conforms to the one or more accessed parameters from the configuration guide.

Face retrieval method and apparatus, server, and storage medium

A face retrieval method is applied to a face retrieval system and performed by a computing device, the face retrieval system including a retrieval device cluster, the retrieval device cluster including at least one node. The method includes acquiring a face image, parsing the face image to obtain a first facial feature, and generating a first retrieval instruction according to the first facial feature, the first retrieval instruction carrying the first facial feature. The method further includes selecting a first node from the retrieval device cluster according to a load balancing rule, the first node including a first retrieval server. Finally, the method includes transmitting the first retrieval instruction to the first retrieval server, to trigger the first retrieval server to execute the first retrieval instruction to retrieve the first facial feature, to obtain a first retrieval result.

METHOD AND DEVICE FOR ESTIMATING VIDEO QUALITY ON BITSTREAM LEVEL

A method for estimating video quality on bit-stream level, wherein the video quality refers to a video after error concealment and the method is performed on bit-stream level before said error concealment, comprises extracting and/or calculating a plurality of global condition features from a video bit-stream, extracting and/or calculating a plurality of local effectiveness features at least for a lost MB, calculating a numeric error concealment effectiveness level for each (or at least for each lost) MB by emulating an error concealment method that is used in said error concealment, and providing the calculated error concealment effectiveness level as an estimated visible artifacts level of video quality. 1. A method for estimating video quality on bit-stream level , the video quality referring to a video after error concealment and the method being performed on bit-stream level before said error concealment , the method comprising steps ofextracting and/or calculating a plurality of global condition features from a video bit-stream;determining that a macroblock is lost;extracting and/or calculating a plurality of local effectiveness features at least for the lost macroblock;calculating a numeric error concealment effectiveness level for the lost macroblock by emulating an error concealment method that is used in said error concealment; andproviding the calculated error concealment effectiveness level as an estimated visible artifacts level of video quality.2. Method according to claim 1 , wherein the plurality of condition features comprise at least two of frame type claim 1 , ratio of intra-macroblock versus inter-macroblock claim 1 , motion index and texture index.3. Method according to claim 2 , wherein the plurality of condition features comprise at least frame type claim 2 , ratio of intra-macroblock versus inter-macroblock claim 2 , motion index and texture index.4. Method according to claim 2 , wherein the texture index is obtained from a texture smoothness ...

METHOD AND DEVICE FOR CALCULATING DISTORTION OF A VIDEO BEING AFFECTED BY COMPRESSION ARTIFACTS AND CHANNEL ARTIFACTS

In video quality control and estimation, the joint evaluation of compression artifacts and channel artifacts is a problem. The invention considers the joint perception of both a compression artifact level D(V) and a channel artifact level D(V) in a method for calculating overall distortion in a video being affected by compression artifacts and channel artifacts. The method comprises a step of adding a compression artifact level D(V) and a summand S that is derived from log (D(V)) multiplied with a factor that decreases with increasing compression artifact level D, such as D(V)=D(V)+c·(K−D(V))·log(D(V)). The result obtained is a measure for the overall distortion. 1. A method for calculating distortion of a video being affected by compression artifacts and channel artifacts , comprising a step of{'sub': m', 'h', 'm', 'h, 'adding a compression artifact level Dand a summand S that is derived from log (D) multiplied with a factor that decreases with increasing compression artifact level D, with Dbeing a channel artifacts level, to obtain a measure for said distortion.'}2. The method according to claim 1 , wherein the summand S is calculated according to S=c·(K−D(V))·log(D(V)) claim 1 , with c and K being positive constants claim 1 , the channel artifacts level being positive and log(D(V)) being a logarithm of the channel artifacts level.3. The method according to claim 2 , wherein the compression artifact level Dand the channel artifact level Dare measured in a range between a minimum value Dand a maximum value D claim 2 , and K is equal to the maximum value D.4. The method according to claim 3 , wherein cis substantially equal to 0.9/log(D).5. The method according to claim 3 , further comprising steps of receiving control data from a user interface and setting or adjusting the parameter caccording to the control data.6. The method according to claim 2 , wherein the minimum value Dis 1 and the maximum value Dis 5 claim 2 , and cis substantially equal to 1.2876.7. The ...

Method And Apparatus For Estimating Motion Homogeneity For Video Quality Assessment

When a scene moves homogeneously or fast, human eyes become sensitive to freezing artifacts. To measure the strength of motion homogeneity, a panning homogeneity parameter is estimated to account for isotropic motion vectors, for example, caused by camera panning, tilting, and translation, a zooming homogeneity parameter is estimated for radial symmetric motion vectors, for example, caused by camera zooming, and a rotation homogeneity parameter is estimated for rotational symmetric motion vectors, for example, caused by camera rotation. Subsequently, an overall motion homogeneity parameter is estimate based on the panning, zooming, and rotation homogeneity parameters. A freezing distortion factor can then be estimated using the overall motion homogeneity parameter. The freezing distortion factor, combined with compression and slicing distortion factors, can be used to estimate a video quality metric. parameter 1. A method for generating a quality metric for a video included in a bitstream , comprising the steps of:accessing motion vectors for a picture of the video;determining a motion homogeneity parameter responsive to the motion vectors; anddetermining the quality metric responsive to the motion homogeneity parameter.2. The method of claim 1 , further comprising:determining a freezing distortion factor in response to the motion homogeneity parameter, wherein the quality metric is determined responsive to the freezing distortion factor.3. The method of claim 1 , wherein the motion homogeneity parameter is indicative of strength of homogeneity for at least one of isotropic motion vectors claim 1 , radial symmetric motion vectors claim 1 , and rotational symmetric motion vectors.4. The method of claim 1 , wherein the motion homogeneity parameter is indicative of strength of homogeneity for motions caused by camera operations claim 1 , which include at least one of pan claim 1 , rotation claim 1 , tilt claim 1 , translation claim 1 , zoom in claim 1 , and zoom out.5. ...

VIDEO ENCODING AND DECODING BASED ON IMAGE REFINEMENT

A particular implementation forms an initial reconstructed image block from inverse quantization and inverse transform, and further refines the reconstructed image block using pixels from neighboring reconstructed blocks. The image block may be refined using a bilateral filter, whose space parameter and range parameter are adaptive to the quantization parameter. The particular implementation can be used in both encoding and decoding when reconstructing an image block. When used in encoding, the particular implementation can be used jointly with coefficient truncation, where some non-zero transform coefficients are set to zero. The number of remaining non-zero transform coefficients after coefficient truncation may be adaptive to the quantization parameter, the variance of the image block, the number of non-zero transform coefficients of the image block, and the index of the last non-zero transform coefficient in a zigzag scanning order.

METHODS AND APPARATUS FOR AN ARTIFACT DETECTION SCHEME BASED ON IMAGE CONTENT

Methods and apparatus for artifact detection are provided by the present principles that measure the level of artifacts, such as those caused by temporal concealment of errors due to packet loss, for conditional error concealment. The principles are based on an assumption that sharp edges of video are rarely aligned with macroblock boundaries so video discontinuities are checked throughout the video. The scheme solves the problem of error propagation when temporal concealment of artifacts is used and the high false alarm rates of prior methods. Artifact detection methods are provided for regions of an image, an entire image, or for a video sequence, with error concealment provided conditionally based on the artifact levels.

Video quality measurement

A particular implementation receives a bitstream and derives parameters from the bitstream. The parameters include quantization parameters, content unpredictability parameters, ratios of lost blocks, ratios of propagated blocks, error concealment distances, motion vectors, durations of freezing, and frame rates. Using these parameters, a compression distortion factor, a slicing distortion factor, and a freezing distortion factor are estimated respectively for distortions resulting from video compression, a slicing mode error concealment, and a freezing slicing mode error concealment. The distortion factors are then mapped to a composite video quality score. For applications with limited computational power, the estimation of distortion factors can be simplified. In particular, the compression distortion factor, the slicing distortion factor, and the freezing distortion factor can be predicted from quantization parameters, ratios of lost blocks, and durations of freezing, respectively.

METHOD AND APPARATUS FOR DETECTING GRADUAL TRANSITION PICTURE IN VIDEO BITSTREAM

The invention provides a method and apparatus for detecting a gradual transition picture in a bitstream. The method comprises: accessing a bitstream including encoded pictures; and determining a gradual transition picture in the bitstream using information from the bitstream without decoding the bitstream to derive pixel information. 113-. (canceled)14. A method , comprising the steps of:accessing a bitstream including encoded pictures; anddetermining a gradual transition picture in the bitstream as a function of intra macro block ratios of a picture to be detected and a set of consecutive pictures in the surrounding pictures of the picture to be detected.15. The method according to claim 14 , wherein the determining step comprises:determining a gradual transition picture in the bitstream if:the intra macro block ratio of said picture to be detected is larger than a first threshold;the number of a set of consecutive pictures in the surrounding frames of said picture to be detected in the bitstream which have intra macro block ratios larger than the first threshold is larger than a second threshold; andthe ratio of the average intra macro block ratio of said set of consecutive pictures to the average intra macro block ratio of another set of consecutive pictures in the surrounding frames of said set of consecutive pictures is larger than a third threshold.16. The method according to claim 14 , wherein the intra macro block ratio in a frame is the ratio of the number of intra-mode macro blocks to total number of macro blocks in a frame.17. The method according to claim 14 , wherein the intra macro block ratio in a frame is the ratio the ratio of the number of intra-mode macro blocks to total number of received and decoded macro blocks in a frame.18. The method according to claim 15 , wherein the second threshold is set as a function of the frame rate of the video bitstream.19. An apparatus claim 15 , comprising:a decoder accessing a bitstream including encoded ...

METHOD AND APPARATUS FOR ESTIMATING CONTENT COMPLEXITY FOR VIDEO QUALITY ASSESSMENT

To estimate content complexity of a video, energy of prediction residuals is calculated. The prediction residuals are usually smaller when the video is less complex and more predictable. Scales of prediction residuals also depend on encoding configurations, for example, I pictures usually have larger prediction residuals than P and B pictures even when the contents are very similar and thus have similar perceived content complexity. To more closely reflect the content complexity, alignment scaling factors are estimated for different encoding configurations. Based on the energy of prediction residuals and alignment scaling factors, an overall content unpredictability parameter can be estimated to compute a compression distortion factor for the video. The compression distortion factor, combined with slicing and freezing distortion factors, can be used to estimate a video quality metric for the video. 1. A method for assessing video quality of a video included in a bitstream , comprising the steps of:determining a content unpredictability parameter responsive to prediction residuals of a block of a picture in the video;scaling the content unpredictability parameter responsive to the encoding configuration of the block, wherein the encoding configuration includes at least one of a picture type and GOP (Group of Picture) structure; anddetermining a quality metric representative of video quality of the video included in the bitstream in response to the scaled content unpredictability parameter.2. The method of claim 1 , wherein the content unpredictability parameter is indicative of a degree of difficulty of predicting the block claim 1 , and wherein a value of the scaled content unpredictability parameter is substantially same as a value of a second content unpredictability parameter for another block that has similar content as the block.3. (canceled)4. The method of claim 1 , wherein the step of determining a content unpredictability parameter comprises the steps of: ...

HEAD REGION RECOGNITION METHOD AND APPARATUS, AND DEVICE

This application discloses a head region recognition method performed at a computing device. The method includes: acquiring an input image; processing the input image using n cascaded neural network layers to obtain n sets of candidate recognition results of a head region, each of the n neural network layers outputting one respective set of candidate recognition results, the neural network layer being used for recognizing the head region according to a preset extraction box, sizes of extraction boxes used by at least two of the neural network layers being different, and n being a positive integer and n≥2; and aggregating the n sets of candidate recognition results to obtain a final recognition result of the head region in the input image. Therefore, head regions with different sizes in the input image can be recognized, thereby improving recognition accuracy. 1. A head region recognition method , performed by a computing device , the method comprising:acquiring an input image;processing the input image using n cascaded neural network layers to obtain n sets of candidate recognition results of a head region, each of then neural network layers outputting one respective set of candidate recognition results, the neural network layer being used for recognizing the head region according to a preset extraction box, sizes of extraction boxes used by at least two of the neural network layers being different, and n being a positive integer and n≥2; andaggregating the n sets of candidate recognition results to obtain a final recognition result of the head region in the input image.2. The method according to claim 1 , wherein the processing the input image using n cascaded neural network layers to obtain n sets of candidate recognition results of a head region comprises:inputting the input image into a first neural network layer in the n neural network layers to obtain a first-layer feature map and a first set of candidate recognition results; and{'sup': th', 'th', 'th', 'th, ' ...

METHOD AND APPARATUS FOR ESTIMATING VIDEO QUALITY

A method and apparatus are disclosed for predicting subjective quality of a video contained in a bit stream on a packet layer. Header information of the bit-stream is parsed and frame layer information, such as frame type, is estimated. Visible artifact levels are then estimated based on frame layer information. An overall artifact level and quality metric are estimated based on artifact levels for individual frames with other parameters. Specifically, different weighting factors are used for different frame types when estimating the levels of initial visible artifacts and propagated visible artifacts. The number of slices per frame is used as a parameter when estimating the overall artifact level for the video. Moreover, the quality assessment model considers quality loss caused by both coding and channel artifacts. 1. A method for estimating video quality of a video , comprising:accessing a bitstream including the video;determining a picture type of a picture in the video as one of a scene-cut frame, non scene-cut I frame, P frame, and B frame; andestimating the video quality for the video in response to the determined picture type.2. The method of claim 1 , wherein the picture type of the picture is determined in response to at least one of a size of the picture and a corresponding GOP length.3. The method of claim 1 , further comprising:determining an initial visible artifact level in response to the determined picture type of the picture.4. The method of claim 3 , wherein the initial visible artifact level is responsive to a weighting factor claim 3 , the weighting factor for a scene-cut frame being greater than the weighting factor for a non scene-cut I or P frame.5. The method of claim 1 , further comprising:determining a propagated visible artifact level in response to the determined picture type of the picture.6. The method of claim 5 , wherein the propagated visible artifact level is responsive to a weighting factor.7. The method of claim 1 , further ...

VIDEO QUALITY MODEL, METHOD FOR TRAINING A VIDEO QUALITY MODEL, AND METHOD FOR DETERMINING VIDEO QUALITY USING A VIDEO QUALITY MODEL

A big challenge for Video Quality Measurement on bitstream-level, especially in the case of network impairment, is to predict the quality level of Error Concealment artifacts at the bitstream level before decoding the video. The present invention is based on the recognition of the fact that the effectiveness of various EC methods can be estimated from some common content features and compression technique features. The invention comprises selecting training data frames of a predefined type, analyzing predefined typical features of the selected training data frames, decoding the training data frames using the target video decoder, wherein the decoding may comprise EC, and performing video quality measurement. The video quality of the decoded and error concealed training data frames is measured or estimated using a reference VQM model. 119-. (canceled)20. A method for generating a training dataset for Error Concealment artifacts assessment , comprising steps ofextracting one or more concealed frames from a training video stream;determining typical features of the extracted frames;decoding the extracted frames and performing Error Concealment;performing a first quality assessment of the decoded extracted frames using a Reference Video Quality Measuring model;performing a second quality assessment of the extracted frames by using, for each of the decoded extracted frames, a plurality of different candidate Video Quality Measuring models or a plurality of different candidate coefficient sets for at least one given Video Quality Measuring model, wherein at least some of the calculated typical features are used;determining from the plurality of Video Quality Measuring models or Video Quality Measuring model coefficient sets a best Video Quality Measuring model, or best Video Quality Measuring model coefficient set, that optimally matches the result of the first quality assessment, wherein, for each of the decoded extracted frames, the results of the plurality of candidate ...

Method And Apparatus For Context-Based Video Quality Assessment

Because neighboring frames may affect how a current frame is perceived, we examine different neighborhoods of the current frame and select a neighborhood that impacts the perceived temporal distortion (i.e., when frames are viewed continuously) of the current frame most significantly. Based on spatial distortion (i.e., when a frame is viewed independently of other frames in a video sequence) of frames in the selected neighborhood, we can estimate initial temporal distortion. To refine the initial temporal distortion, we also consider the distribution of distortion in the selected neighborhood, for example, the distance between the current frame and a closest frame with large distortion, or whether distortion occurs in consecutive frames. 1. A method for estimating visual quality of a video sequence , comprising:determining a neighborhood of a current frame of the video sequence from a plurality of neighborhoods that include the current frame;determining initial temporal distortion for the current frame responsive to spatial distortion for frames in the determined neighborhood;determining a distribution of the spatial distortion for the frames in the determined neighborhood;determining temporal distortion for the current frame responsive to the initial temporal distortion and the distribution; anddetermining the visual quality of the video sequence responsive to the temporal distortion for the current frame.2. The method of claim 1 , wherein the determined neighborhood has most impact on the temporal distortion of the current frame among the plurality of neighborhoods.3. The method of claim 1 , wherein the neighborhood of the current frame is determined based on a sliding window approach.4. The method of claim 1 , wherein the determining the distribution comprises:determining a distance between the current frame and a closest frame with large distortion in the determined neighborhood, wherein the temporal distortion is determined responsive to the initial temporal ...

SIGN-IN SYSTEM, METHOD, APPARATUS AND SERVER BASED ON FACIAL RECOGNITION

A sign-in method and server based on facial recognition are provided. The method includes: receiving a face image of a sign-in user from a sign-in terminal. According to the face image of the sign-in user, whether a target registration user matching the sign-in user exists in a pre-stored registration set is detected. The registration set includes a face image of at least one registration user. Further, the target registration user is confirmed as signed in successfully if the target registration user exists in the registration set. 1. A sign-in method based on facial recognition , comprising:receiving a face image of a sign-in user from a sign-in terminal;detecting, according to the face image of the sign-in user, whether a target registration user matching the sign-in user exists in a pre-stored registration set, the registration set comprising a face image of at least one registration user; andconfirming that the target registration user signs in successfully if the target registration user exists in the registration set.2. The method according to claim 1 , wherein the detecting claim 1 , according to the face image of the sign-in user claim 1 , whether a target registration user matching the sign-in user exists in a pre-stored registration set comprises:extracting an image feature from the face image of the sign-in user by using a facial recognition algorithm having a recognition accuracy degree greater than a first threshold;separately calculating a similarity degree between the face image of the sign-in user and the face image of each registration user according to the image feature of the face image of the sign-in user and an image feature of the face image of each registration user;detecting whether a maximum similarity degree is greater than a second threshold; andconfirming that a registration user corresponding to the maximum similarity degree is the target registration user matching the sign-in user, if the maximum similarity degree is greater than the ...

Method And Apparatus For Context-Based Video Quality Assessment

Spatial distortion (i.e., when a frame is viewed independently of other frames in a video sequence) may be quite different from temporal distortion (i.e., when frames are viewed continuously). To estimate temporal distortion, a sliding window approach is used. Specifically, multiple sliding windows around a current frame are considered. Within each sliding window, a large distortion density is calculated and a sliding window with the highest large distortion density is selected. A distance between the current frame and the closest frame with large distortion in the selected window is calculated. Subsequently, the temporal distortion is estimated as a function of the highest large distortion ratio, the spatial distortion for the current frame, and the distance. In another embodiment, a median of spatial distortion values is calculated for each sliding window and the maximum of median spatial distortion values is used to estimate the temporal distortion. 1. A method for estimating visual quality of a video sequence , comprising:accessing spatial distortion for frames in a plurality of sliding windows that include a current frame in the video sequence;determining a factor indicating at least one of a large distortion density and a representative artifact level for each sliding window responsive to respective spatial distortion for frames in the each sliding window;determining temporal distortion for the current frame responsive to the determined factor; anddetermining the visual quality of the video sequence responsive to the temporal distortion of the current frame.2. The method of claim 1 , further comprising:determining a maximum of the factors for the plurality of sliding windows, wherein the temporal distortion for the current frame is determined responsive to the maximum factor.3. The method of claim 1 , wherein the large distortion density is determined responsive to a ratio between the number of frames with large distortion in the each sliding window and the ...

PICTORIAL SUMMARY FOR VIDEO

Various implementations relate to providing a pictorial summary, also referred to as a comic book or a narrative abstraction. In one particular implementation, a first portion in a video is accessed, and a second portion in the video is accessed. A weight for the first portion is determined, and a weight for the second portion is determined. A first number and a second number are determined. The first number identifies how many pictures from the first portion are to be used in a pictorial summary of the video. The first number is one or more, and is determined based on the weight for the first portion. The second number identifies how many pictures from the second portion are to be used in the pictorial summary of the video. The second number is one or more, and is determined based on the weight for the second portion. 1. A method comprising:accessing a first portion in a video, and a second portion in the video;determining a weight for the first portion;determining a weight for the second portion;determining a first number, the first number identifying how many pictures from the first portion are to be used in a pictorial summary of the video, wherein the first number is one or more, and is determined based on the weight for the first portion; anddetermining a second number, the second number identifying how many pictures from the second portion are to be used in the pictorial summary of the video, wherein the second number is one or more, and is determined based on the weight for the second portion.2. The method of wherein:determining the first number is further based on a value for total number of pages in the pictorial summary.3. The method of wherein the value for total number of pages in the pictorial summary is a user-supplied value.4. The method of further comprising:accessing a first picture within the first portion and a second picture within the first portion;determining a weight for the first picture based on one or more characteristics of the first ...

METHOD FOR ACQUIRING MOTION TRACK AND DEVICE THEREOF, STORAGE MEDIUM, AND TERMINAL

Embodiments of this application disclose a method and computing device for obtaining a moving track, a storage medium, and a terminal. The method includes the following operations: obtaining multiple sets of target images generated by multiple cameras for a photographed area, each set captured at a target moment within a selected time period; performing image recognition on each set of target images to obtain a set of face images of multiple target persons; respectively recording current position information of each face image corresponding to each person on a corresponding set of target images at a target moment; and outputting a set of moving tracks of the set of face images within the selected time period in chronological order, each moving track according to the current position information of a face image corresponding to a respective one of the multiple target persons within the multiple sets of target images. 1. A method for obtaining moving tracks of multiple target persons , performed by a computing device having a processor and memory storing a plurality of computer programs to be executed by the processor , the method comprising:obtaining multiple sets of target images generated by multiple cameras for a photographed area, each set of target images being captured at a respective target moment within a selected time period;performing image recognition on each of the multiple sets of target images to obtain a set of face images of the multiple target persons in the set of target images;respectively recording current position information of each face image corresponding to each of the multiple target persons in the set of face images on a corresponding set of target images at a corresponding target moment; andoutputting a set of moving tracks of the set of face images within the selected time period in chronological order, each moving track according to the current position information of a face image corresponding to a respective one of the multiple target ...

INTERACTIVE METHOD, INTERACTIVE TERMINAL, STORAGE MEDIUM, AND COMPUTER DEVICE

An interactive method is provided for an interactive terminal. The method includes obtaining visitor voice data of a visitor; and performing word segmentation on a text obtained by recognizing the visitor voice data, to obtain a feature word set. The method also include determining, according to a topic generation model and the feature word set, a determined topic to which the text belongs; and separately obtaining appearing probabilities corresponding to feature words in the feature word set when the feature words belong to the determined topic. The method further includes selecting a feature word from the feature words of the feature word set according to the appearing probabilities corresponding to the feature words; and obtaining and outputting visitor interactive content corresponding to the selected feature word. 1. An interactive method for an interactive terminal , comprising:obtaining visitor voice data of a visitor;performing word segmentation on a text obtained by recognizing the visitor voice data, to obtain a feature word set;determining, according to a topic generation model and the feature word set, a determined topic to which the text belongs;separately obtaining appearing probabilities corresponding to feature words in the feature word set when the feature words belong to the determined topic;selecting a feature word from the feature words of the feature word set according to the appearing probabilities corresponding to the feature words; andobtaining and outputting visitor interactive content corresponding to the selected feature word.2. The method according to claim 1 , wherein the determining claim 1 , according to a topic generation model and the feature word set claim 1 , a determined topic to which the text belongs comprises:obtaining, for each feature word in the feature word set according to the topic generation model, a feature word generation probability function corresponding to the current feature word when the current feature word ...

Method and apparatus for detecting repetitive structures in 3d mesh models

método e aparelhos para detectar estruturas repetitivas em modelos de mesh 3d. descobrir estruturas repetitivas em modelos 3d é uma tarefa desafiadora. um método para detectar estruturas repetitivas nos modelos 3d compreende provar o modelo 3d usando um tamanho de etapa de amostragem atual, detectar estruturas repetitivas e porções restantes do modelo, determinar um representante para cada uma de uma ou mais estruturas repetitivas, e bem como detectar os rendimentos da etapa de uma ou mais estruturas repetitivas , reduzir o tamanho de etapa de amostragem atual e repetir as etapas de amostragem e detectar para cada representante detectado de uma estrutura repetitiva detectada e para as porções restantes do modelo, em que o tamanho de etapa de amostragem reduzido é utilizado. os métodos e dispositivos descritos podem ser, por exemplo, usados para compressão de modelo 3d, reparação de modelo 3d, ou sínteses de geometria. method and apparatus for detecting repetitive structures in 3d mesh models. Finding repetitive structures in 3D models is a challenging task. One method for detecting repetitive structures in 3d models comprises proving the 3d model using a current sampling step size, detecting repetitive structures and remaining portions of the model, determining a representative for each of one or more repetitive structures, and detecting the step yields of one or more repeating structures, reduce the current sampling step size and repeat the sampling steps, and detect for each detected rep of a detected repeating structure and for the remaining portions of the model, where the step size of Reduced sampling is used. The methods and devices described may be, for example, used for 3d model compression, 3d model repair, or geometry synthesis.

Device for monitoring heat stress

A wearable heat stress monitor (100) comprising: a first sensor (110), the first sensor (110) comprising an electrode (115) for sensing a sweat parameter (110A) and at least one further sensor (120) for sensing a body parameter or an environmental parameter (120A). The heat stress monitor (100) further comprises a processor (130) to determine a heat stress level based on the sweat parameter (110A) sensed by the first sensor (110) and the body parameter or environmental parameter (120A) sensed by the at least one further sensor (120) and an output module (140) for outputting information based on the heat stress level determined by the processor (130).

Network Quality Experience Experience Management Method and Appliance

método e aparelho para gerenciamento de qualidade de experiência para serviços de rede. a presente invenção provê uma solução de gerenciamento de qoe é utilizado para otimizar o uso de técnicas de aprovisionamento de qos, desse modo melhorando a eficiência de utilização de recursos de rede. de acordo com um aspecto da invenção, um método para gerenciamento de qoe para um serviço de rede fornecido para um dispositivo de usuário, o método compreendendo: exibir uma interfface de usuário no dispositivo de usuário para um usuário entrar um valor de qoe esperado do serviço de rede; receber o valor de qoe esperado do serviço de rede a partir do usuário; avaliar de qoe objetivo do serviço de rede como uma função de parâmetros de qos de rede; e ajustar os parâmetros de qos do serviço de rede se o valor de qoe objetivo for menor do que o valor de qoe esperado. method and apparatus for experience quality management for network services. The present invention provides a qoe management solution that is used to optimize the use of qos provisioning techniques, thereby improving the efficiency of network resource utilization. According to one aspect of the invention, a method for managing a service for a network service provided to a user device, the method comprising: displaying a user interface on the user device for a user to enter a service expected value network; receive the expected value of network service from the user; evaluate what and the purpose of the network service as a function of network quality parameters; and adjusting the network service qos parameters if the target qoe value is less than the expected qoe value.

Method and apparatus for detecting gradual transition picture in video bitstream

The invention provides a method and apparatus for detecting a gradual transition picture in a bitstream. The method comprises: accessing a bitstream including encoded pictures; and determining a gradual transition picture in the bitstream using information from the bitstream without decoding the bitstream to derive pixel information.

Method for predicting a lost or damaged block of an enhanced spatial layer frame and SVC-decoder adapted therefore

The invention is related to prediction of a lost or damaged block of an enhanced spatial layer frame. A method for predicting a lost or damaged block of an enhanced spatial layer frame (E5) comprises the steps of determining an adjuvant frame (E3) in the enhanced spatial layer (EL) by help of reference information from a lower spatial layer frame (B5) corresponding said enhanced spatial layer frame (E5), generating an information reduced block by help of said adjuvant frame (E3) and predicting the lost or damaged block by help of the information reduced block. The reference information of the corresponding lower spatial layer frame can be decoded independently from any lower spatial layer reference frame and the adjuvant enhanced spatial layer frame is already decoded. Thus, the computational effort is reduced. By generation of the information reduced block the prediction is made smoother which makes it less vivid and therefore less salient to a user.

Method for encoding a sequence of integers, storage device and signal carrying an encoded integer sequence and method for decoding a sequence of integers

The invention is related to a method for encoding a sequence of integers, to a storage device and to a signal carrying such encoded sequence and to a method for decoding such encoded sequence. Said method comprises the steps of identifying a contiguous sub-sequence in the sequence of integers wherein said sub-sequence comprises interrelated integers having a same prefix when being variable length encoded and an independent last integer, and forming a code for the contiguous sub-sequence by help of code for an indication of the number of interrelated integers in said contiguous subsequence, a code of a prefix indication and the suffixes of variable length codes of the integers in the contiguous sub-sequence. Thus, if there are n integers of which each is encoded with the same prefix then, instead of n individual prefixes for the integers, a single prefix for the contiguous subsequence is sufficient.

Method for encoding an image, method for decoding an image, encoder, decoder and signal or storage medium carrying an encoded image

The invention relates to a method for encoding an image, a method for decoding an image, an encoder, a decoder and a signal or a storage medium carrying an encoded image. Said decoding method comprises de-quantizing the current index value by determining, by help of one or more neighbouring index values, a current context of a current index value and selecting a de-quantization value from a set of reconstruction values (-x 0 '', -x 0' , x 0 , x 0 ', x 0 '') wherein the selection depends on the current context. By context-dependent de-quantization of the current index value, quality loss due to quantization to said current index value is reduced.

Texture masking for video quality measurement

Method and system for face recognition

A method of face recognition for a plurality of users, comprising: obtaining face samples of the plurality of users sequentially, and classifying the obtained face samples of at least one users to face sample set of each user by a dynamic similarity measure.

Method for encoding a sequence of integers, storage device and signal carrying an encoded integer sequence and method for decoding a sequence of integers

The invention is related to a method for encoding a sequence of integers, to a storage device and to a signal carrying such encoded sequence and to a method for decoding such encoded sequence. Said method comprises the steps of identifying a contiguous sub-sequence in the sequence of integers wherein said sub-sequence comprises interrelated integers having a same prefix when being variable length encoded and an independent last integer, and forming a code for the contiguous sub-sequence by help of code for an indication of the number of interrelated integers in said contiguous subsequence, a code of a prefix indication and the suffixes of variable length codes of the integers in the contiguous sub-sequence. Thus, if there are n integers of which each is encoded with the same prefix then, instead of n individual prefixes for the integers, a single prefix for the contiguous subsequence is sufficient.

Method and device for lossy compress-encoding data

Method and apparatus for subjective assessment of video quality

The present invention provides apparatus and method for subjective assessment of the quality of a video service that is provided by a servicer to a plurality of client devices. The method comprises: under the control of any one of the client devices, displaying a user interface for a user of the client device to assess the quality of the video service; and in response to the assessment action of the user being performed, transmitting the assessment input to the service provider; under the control of the server, generating an assessment result on the quality of the video service as a function of the assessment inputs received from the plurality of client devices. The invention can fully take advantage of the feedback on the video quality from a great number of end-users to assess the video quality, by which a more credible and accurate assessment result can be obtained with reasonable operation cost.

Method and apparatus for detecting gradual transition picture in video bitstream

The invention provides a method and apparatus for detecting a gradual transition picture in a bitstream. The method comprises: accessing a bitstream including encoded pictures; and determining a gradual transition picture in the bitstream using information from the bitstream without decoding the bitstream to derive pixel information.

Method and apparatus for detecting gradual transition picture in video bitstream

Video quality measurement

A particular implementation receives a bitstream and derives parameters from the bitstream. The parameters include quantization parameters, content unpredictability parameters, ratios of lost blocks, ratios of propagated blocks, error concealment distances, motion vectors, durations of freezing, and frame rates. Using these parameters, a compression distortion factor, a slicing distortion factor, and a freezing distortion factor are estimated respectively for distortions resulting from video compression, a slicing mode error concealment, and a freezing slicing mode error concealment. The distortion factors are then mapped to a composite video quality score. For applications with limited computational power, the estimation of distortion factors can be simplified. In particular, the compression distortion factor, the slicing distortion factor, and the freezing distortion factor can be predicted from quantization parameters, ratios of lost blocks, and durations of freezing, respectively.

Method and apparatus for adapting a default encoding of a digital video signal during a scene change period

The frame (n) following a scene cut (SCC) is usually coded as an I picture. In CBR encoding, the encoder will try to keep the bit rate (R) constant, which will often cause serious picture quality degradation at scene changes. In VBR encoding, more bits will be allocated to the first frame (n) of the new scene and the bit rate will increase significantly for a short time. Therefore subsequent frames must be coded in ^skipped' mode, which will often cause jerk artifacts. According to the invention, in each frame belonging to a scene change period, areas are determined that have different human attention levels. In the frames (n-1, n-2, n-3) located prior to the first new scene frame, to the areas having a lower attention level less bits are assigned than in the default encoding, and in the frames (n, n+1, n+2) located at and after the scene cut the thus saved bits are additionally assigned to the areas having a higher attention level.

Method for processing image

A method for processing an image divided into blocks of pixels is disclosed, which comprises the following steps : detecting, for each block, the largest sub-block whose pixels have an equal luminance value; identifying, for each block, whether the detected largest sub-block is a natural texture or not; determining, for each block, a block blockiness level on the basis of the number of pixels within the detected largest sub-block and said identification step; and processing said image on the basis of said block blockiness levels.

Method and device for estimating video quality on bitstream level

A method for estimating video quality on bit-stream level, wherein the video quality refers to a video after error concealment and the method is performed on bit-stream level before said error concealment, comprises extracting and/or calculating a plurality of global condition features from a video bit-stream, extracting and/or calculating a plurality of local effectiveness features at least for a lost MB, calculating a numeric error concealment effectiveness level for each (or at least for each lost) MB by emulating an error concealment method that is used in said error concealment, and providing the calculated error concealment effectiveness level as an estimated visible artifacts level of video quality.

User terminal device, server device, system and method for assessing quality of media data

A user terminal device,a server device,a system and a method for assessing quality of media data are described. The user terminal device is used for extracting artefact features from the media data and for communicating the features to the server device which is then used for determining a quality score using the artefacts and an artefact/quality score database accessible by the server device. The score, transmitted to the user terminal device, is presented to a user from which a subjective quality score and a request for re-determination are received which the user terminal device communicates to the server device. This in turn is used for re-determining the quality score and for transmitting back the re-determined quality score wherein the quality score is re-determined using the received artefacts, the received subjective quality score and the artefact/quality score database.

Distortion quality measurement

Method and apparatus for selecting a scan path for the elements of a block in spatial domain picture encoding and decoding

Video quality assessment considering scene cut artifacts

Video encoding and decoding based on image refinement

A particular implementation forms an initial reconstructed image block from inverse quantization and inverse transform, and further refines the reconstructed image block using pixels from neighboring reconstructed blocks. The image block may be refined using a bilateral filter, whose space parameter and range parameter are adaptive to the quantization parameter. The particular implementation can be used in both encoding and decoding when reconstructing an image block. When used in encoding, the particular implementation can be used jointly with coefficient truncation, where some non-zero transform coefficients are set to zero. The number of remaining non-zero transform coefficients after coefficient truncation may be adaptive to the quantization parameter, the variance of the image block, the number of non-zero transform coefficients of the image block, and the index of the last non- zero transform coefficient in a zigzag scanning order.

Video quality measurement considering multiple artifacts

A particular implementation determines objective distortion levels (d,) respectively for a plurality of artifact types. The objective distortion levels are aligned to ensure that the same distortion level of different types of artifacts corresponds to the same perceived distortion level. The aligned distortion levels (d,') are sorted to obtain sorted distortion levels (d,"). The sorted distortion levels are then pooled together into an overall distortion level or an overall quality metric. The sorted distortion levels may be pooled using a weighted sum, wherein the weight is larger when the sorted distortion level is greater.

Video quality measurement

A particular implementation receives a bitstream and derives parameters from the bitstream. The parameters include quantization parameters, content unpredictability parameters, ratios of lost blocks, ratios of propagated blocks, error concealment distances, motion vectors, durations of freezing, and frame rates. Using these parameters, a compression distortion factor, a slicing distortion factor, and a freezing distortion factor are estimated respectively for distortions resulting from video compression, a slicing mode error concealment, and a freezing slicing mode error concealment. The distortion factors are then mapped to a composite video quality score. For applications with limited computational power, the estimation of distortion factors can be simplified. In particular, the compression distortion factor, the slicing distortion factor, and the freezing distortion factor can be predicted from quantization parameters, ratios of lost blocks, and durations of freezing, respectively.

Distortion/quality measurement

Method and apparatus for assessing quality of video stream

Objective video quality assessment models at media-layer or at packet-layer are known for estimating audio/video quality of experience (QoE). Existing models are not able to provide stable performance. A method for enabling quality assessment of a stream of frames of video data comprises receiving (31) a sequence of packets, generating (32) a set of parameters and inserting (33) said generated set of parameters as side information into said stream of frames, wherein at least one parameter refers to a video slice level. A method for assessing the quality of a stream of frames of video data comprises receiving (41) a sequence of packets, extracting (42) a set of parameters from said sequence of packets and generating (43) an estimated mean opinion score (45), wherein the video data comprise a slice level and wherein the extracted set of parameters comprises at least one parameter that refers to a video slice level.

Method of processing an image

The invention relates to a method for processing an image divided into blocks of pixels comprising the steps of: detecting (10), for each block, a largest sub-block whose pixels have an equal luminance value; identifying (12), for each block, if the detected largest sub-block is or is not a natural texture; calculating (14), for each block, a weighted luminance difference between the detected largest sub-block and neighboring pixels; determining (16), for each block, a block blockiness level on the basis of the number of pixels within the detected largest sub-block, of said identification step and of said weighted luminance difference; and processing (20) the image on the basis of the block blockiness levels.

Method and system of subsurface horizon assignment

Subsurface horizon assignment. At least some of the illustrative embodiments are methods including: obtaining, by a computer system, a seismic data volume; identifying, by the computer system, a plurality of patches in the seismic data volume, and the identifying thereby creating a patch volume; displaying, on a display device, at least a portion of the seismic data volume and the plurality of patches of the patch volume; and assigning a patch of the plurality of patches to a subsurface horizon of the seismic data volume.

Texture masking for video quality measurement

Method for embedding video annotation data into a coded video stream and video recording device.

Distortion/quality measurement

Various implementations address distortion and quality measurements related to, for example, freeze-with-skip and/or a freeze-without-skip events. In several implementations, information is accessed indicating that a first and second set of one or more consecutive pictures are not to be displayed. A first and second indicator are determined. In one such implementation, the first and second indicators indicate an amount of distortion across one or more types of distortive effects that result from displaying substantially a first, or second, same picture during a display time for the first, or second, set of pictures. The first and second indicators are combined in a non-linear manner. In another such implementation, the distortion is associated with a given type of distortive effect, from among multiple types of distortive effects, and the first and second indicators are combined for the given type of distortive effect.

method for encoding normal vectors from a 3d model, method for decoding normal vectors from a 3d mesh model, encoder and decoder.

método para codificação de vetores normais de um modelo 3d, método para decodificação de vetores normais de um modelo de malha 3d, codificador e decodificador. trata-se de um método para codificação de orientações de vértice, também conhecidas como componentes normais, de um modelo de malha 3d compreende um primeiro agrupamento dos componentes normais, a determinação para cada um dos primeiros grupos de um setor de esfera ao qual a maioria de seus elementos pertence, mapeamento de componentes normais a um setor predefinido, reagrupamento dos componetes normais no setor predefinido em segundos grupos, determinaçãi de preditores para segundos grupos e codiificação de um componente normal por seu resísduo, uma referência a seu preditor e dados que indicam quais dentre as ditas operações de mapeamento de espelho foram executadas. um setor de esfera é obtido mediante a divisão de uma esfera em m segmentos esféricos iguais e a divisão de cada um dos ditos segmentos esféricos em n setores iguais. o primeiro agrupamento para o mapeamento de setor e o segundo agrupamento para a codificação preditiva resultam em uma razão de compressão aperfeiçoada. method for encoding normal vectors from a 3d model, method for decoding normal vectors from a 3d mesh model, encoder and decoder. A method for encoding vertex orientations, also known as normal components, a 3d mesh model comprises a first grouping of normal components, determining for each of the first groups of a sphere sector to which most of its elements belongs, mapping of normal components to a predefined sector, regrouping the normal components in the predefined sector into second groups, determining predictors for second groups, and coding a normal component by its output, a reference to its predictor, and data indicating which of said mirror mapping operations have been performed. a sphere sector is obtained by dividing a sphere into m equal spherical segments and dividing each of said spherical segments into n equal ...

Method and device for lossy compress-encoding data

モジュラー水素結合ネットワーク介在特異性を有するホモオリゴマーを形成することができるポリペプチドおよびその設計

【課題】ホモオリゴマーポリペプチドの設計方法を提供する。【解決手段】コンピューティングデバイスは、１または複数の分子に関連する水素結合ネットワークの探索空間を決定し、探索空間は、水素結合ネットワークに関連する複数の残基に関連している複数のエネルギー項を含むことができる。これらの複数のエネルギー項に基づいて、探索空間を探索して１または複数の水素結合ネットワークを特定することができる。特定された水素結合ネットワークのスコアに基づいて、コンピューティングデバイスは、特定された１または複数の水素結合ネットワークを選別し、１または複数の選別された水素結合ネットワークを特定する。１または複数の選別された水素結合ネットワークに関連する出力を生成することができる。また、モジュラー水素結合ネットワーク介在特異性を有するホモオリゴマーを形成することができるポリペプチドを提供する。【選択図】図１

Encoding method and device for cartoonizing natural video, corresponding video signal comprising cartoonized natural video and decoding method and device therefore

The invention is related to an encoding method and device which allows for providing cartoonized video. The invention is further related to corresponding decoding methods and devices. The invention is also related to corresponding video signals. An encoding method, which allows for providing a cartoonization of the source video and for recombining the source video from the cartoonization of the source video and a residual video, comprises the following steps: Cartoonizing the source video, encoding a first video, reconstructing the first video, determining a first residual video between a second video and the reconstructed first video, encoding the first residual video and combining the encoded first video and the encoded first residual video wherein one of the first video and the second video is the source video and the other is the cartoonized source video.

Video encoder, video decoder, method for video encoding and method for video decoding, separately for each colour plane

High-fidelity video coding nowadays tends to adopt the RGB coding for directly reducing RGB inter-color redundancy without color space conversion. A known method uses a blockbased inter-colour compensation algorithm for removing inter-colour redundancy on RGB colour planes by defining the correlation between colour planes within each coding block as a linear model of slope and offset parameters, codes the base plane block and then predicts the other two colour blocks from the base plane block. However, for most coding blocks the texture within a component block varies quite much. A new method for improved video coding uses adaptive segmentation of the base colour component block, corresponding segmentation of the other colour component blocks and individual slope and offset parameters for predicting each segment.

Einrichtung und verfahren zum erzeugen einer salienzkarte eines bildes

Method for embedding video annotation data into a coded video stream and video recording device.

The invention concerns a method for embedding video annotation data into a coded video stream. The method comprises the step of - encapsulating said video annotation data into a unit, so-called video annotation unit, of the coded video data stream which format corresponds to at least one format used for sending the associated video data, - inserting an identifiable synchronizing code enabling the identification of said video annotation unit into the video data stream.

Method and device for monitoring abnormality of direct-current circuit of converter

The invention provides a monitoring method and device for abnormal DC circuit of a converter. The monitoring method mentioned above comprising: determining the theoretical value of the total impedance of the DC circuit mentioned above; determining the input current, output current, and actual voltage of the DC circuit mentioned above at the current moment; calculating the theoretical value of the specific sub-frequency domain component of the DC voltage at the current moment based on the current difference between the input current and output current mentioned above and the theoretical value of the total impedance mentioned above; calculating the actual value of the specific sub-frequency domain component of the DC voltage based on the actual voltage mentioned above; and determining whether the DC circuit mentioned above is abnormal based on the theoretical value mentioned above and the actual value mentioned above. The invention also provides a monitoring device for abnormal DC circuit of a converter. According to the monitoring method and device provided by the invention, it is capable of achieving online warning of abnormal DC circuit parameters, thereby enabling real-time monitoring of the status of the DC circuit while the DC circuit is working normally, and timely detection of abnormal DC circuit parameters, thereby achieving abnormal online warning.

Method and device for automatic prediction of a value associated with a data tuple

The invention relates to a method and a device for automatic prediction of a current value using a weighted average of a number of current reference values, wherein the current value is associated with a current pair consisting of a first and a second current data tuple. The method comprises using a set of reference pairs, each reference pair consisting of a first and a second reference data tuple and being associated with a reference value, for selecting the current reference values wherein the first reference data tuples, the first current data tuple and a first metric is used for selecting, determining, for each current reference value, an associated weight using the second reference data tuples of the pair associated with the respective selected reference value, the second current data tuple and a second metric, and using the current reference values and the determined weights for determining the weighted average.

Device and method for generating a saliency map of a picture

The invention relates to a method for generating a saliency map for a picture of a sequence of pictures, the picture being divided in blocks of pixels. The method comprises a step for computing a saliency value for each block of the picture. According to the invention, the saliency value equals the self information of the block, the self information depending on the spatial and temporal contexts of the block.

Method and apparatus to detect artificial edges in images

The present invention generally relates to automatic detection of video artifacts. The present invention relates to automatically detect out the images with visible artifacts due to STB decoding error based on a generated artificial edge map. In particular, the application teaches a method to detect out the images with the visible artifacts and how to identify artificial edges from texture (natural) edges. The present system identifies that artificial edges are most significant in local area, while texture edges are often together with some other texture edges.

Diagnostic method and apparatus for shaft breakage fault of railway vehicle

The invention relates to a broken axle fault diagnosis technology of a rail vehicle, in particular to a diagnostic method and device for broken axle faults of a rail vehicle, and a computer-readable medium. The above-mentioned diagnostic method for broken axle faults of a rail vehicle can be used for diagnosing broken axle faults of a plurality of axles of the rail vehicle. The diagnostic method includes the steps: judging the operating condition of the rail vehicle; and in response to the rail vehicle being in the traction operating condition, using one of the plurality of axles as the axle to be tested to perform a first broken axle condition judgment. The first broken axle condition may include: the actual traction of the other axles except the one to be tested is all greater than the first traction threshold, while the actual traction of the axle to be tested has been continuously smaller than the second traction threshold and the axle speed has been continuously greater than the speed of the rail vehicle for up to the first time threshold. If the first broken axle condition is satisfied, it is judged that the axle to be tested is suspected of having a broken axle fault. The invention can be used to report faults quickly and accurately, so as to ensure the safe operation of trains.

Method for encoding video data in a scalable manner

A method for encoding video data in a scalable manner according to H.264/SVC standard comprises the steps of: inserting a scalable nesting Supplemental Enhancement Information message for each layer of the data stream comprising at least one reference to the layer and a link to a Supplemental Enhancement Information message, following the nesting Supplemental Enhancement Information message, inserting the Supplemental Enhancement Information message for each scalable nesting Supplemental Enhancement Information message comprising the video usability information for the layer.