2257 results about "Video decoding" patented technology

Systems, methods, and instrumentalities are disclosed for template based cross component linear model / multimode linear model (CCLM / MMLM) adjustment. In an example, a device, such as a video decoding device, or a video encoding device, may obtain a prediction model for predicting a coding block. The device may select an adjustment model, from multiple adjustment models, for adjusting the prediction model. The device may adjust the prediction model based on the selected adjustment model. The device may process (e.g., encode and / or decode) the coding block based on the adjusted prediction model.

Methods for video decoding and encoding, apparatuses and non-transitory computer-readable storage media thereof are provided. In one method for video decoding, a decoder may obtain a plurality of prediction blocks based on a current inter coding block; obtain a current template of the current inter coding block, wherein the current template comprises a plurality of reconstructed samples neighboring to the current inter coding block; obtain a plurality of template predictions of the current template respectively corresponding to the plurality of prediction blocks of the current inter coding block; obtain at least one filter based on the plurality of template predictions and the current template; and obtain a filtered block based on the at least one filter and the plurality of prediction blocks.

Methods for video decoding and encoding, apparatuses and non-transitory computer-readable storage media thereof are provided. In one method for video decoding, a decoder may obtain a current coding unit (CU) that is coded based on Intra Block Copy (IBC) mode combined with Geometric Partitioning Mode (GPM). Additionally, the decoder may obtain from at least one of regular merge candidates, Template Matching (TM) refined merge candidates, or merge candidates with block vector difference (MBVD candidates), a first IBC merge prediction and a second IBC merge prediction. Further, the decoder may obtain a prediction for the current CU based on the first IBC merge prediction and the second IBC merge prediction.

The invention relates to the technical field of video decoding, in particular to a fast decoding transmission method and system for a video live broadcast image. The method comprises the following steps: acquiring a video live broadcast picture stream; performing image group division on the video live broadcast image flow to generate image group images; analyzing an inter-frame relationship of the picture grouping images, defining priorities of the picture grouping images according to the inter-frame relationship, and generating decoding priority mark data; entropy data fragmentation is carried out on the picture grouping images, and a picture basic entropy slice and a picture increment entropy slice are generated; stage picture transmission is carried out on the picture grouping images based on the picture basic entropy slice and the picture increment entropy slice, and an image streaming preloading strategy is generated; and performing terminal transmission feedback on the picture grouping images by using an image stream type preloading strategy to obtain terminal transmission feedback data. According to the invention, through optimization of video picture grouping, priority scheduling, bandwidth management, decoding acceleration and fault-tolerant reconstruction, the rapid decoding transmission performance of the video live broadcast image is improved.

A road traffic event analysis method and system, and a device and a medium. The traffic event analysis method comprises: decoding and coding the current monitoring video, so as to obtain a target video picture (S102); calibrating the target video picture, so as to obtain a calibrated video picture (S103); performing preliminary analysis on the calibrated video picture, so as to obtain a preliminary analysis result (S104); determining state change data on the basis of the preliminary analysis result (S105); compiling statistics on a traffic flow, so as to determine peak time periods and plateau time periods of a road traffic site (S106); performing preliminary detection on frame scenes on the basis of pre-determined detection parameters corresponding to the peak time periods and the plateau time periods, so as to obtain a preliminary detection result (S107); excluding congestion events from the preliminary detection result (S108); and tracking targets, and determining motion state features, so as to obtain a final detection result and report same (S109). The scale of a traffic accident event triggered in the detection result and the statistical result are used for adjusting the detection parameters corresponding to the peak time periods and the plateau time periods. The traffic event analysis method can improve the detection accuracy of road traffic events.

A method and an apparatus are disclosed for video coding using an improved inloop filter for chroma components. In the disclosed embodiments, a video decoding device performs obtaining a reconstructed frame that includes luma samples and chroma samples, subsequently obtaining a scale value representing a resolution difference between the reconstructed frame and an original frame. Responsive to the reconstructed frame having a resolution that is based on the scale value and is less than a resolution of the original frame, the video decoding device generates an upsampled chroma frame by inputting the luma samples and the chroma samples into a cross component resampling inloop filter (CC-RIF).

The invention discloses a control management method and system for an LED backlight source, and relates to the technical field of backlight source control. The video decoding module is used for analyzing an input video signal and extracting an image brightness distribution entropy value and a color gamut coverage degree; the backlight partition regulation and control unit is used for dynamically adjusting a backlight partition topological structure; the prediction compensation module is used for generating a future frame brightness change trend and correcting a current backlight driving signal by using a feedforward compensation coefficient; the photoelectric sensing array is used for measuring the reflection characteristic of ambient light in real time; and the collaborative dimming controller is used for acquiring the type information of the playing equipment and loading a differential dimming strategy library. By dynamically analyzing video content characteristics, ambient light conditions and equipment information source types and adjusting a backlight partition structure and brightness output in real time, the HDR scene switching response speed is remarkably improved, the dark field gray scale identification degree is enhanced, backlight instantaneous peak power consumption is reduced, the non-linear brightness requirement of streaming media content is met at the same time, and the real-time performance of the system is improved. And better visual experience is provided for the user, and energy consumption optimization is realized.

A video encoding method, a video decoding method and apparatus, and a storage medium are provided. The decoding method includes that: angular accuracy corresponding to the intra prediction mode candidate list is determined, the first angular accuracy is used for indicating a search range of an angular prediction mode in the intra-frame prediction mode candidate list; the intra prediction mode candidate list is constructed on the basis of the first angular accuracy; and the prediction for the current block is performed on the basis of the constructed intra prediction mode candidate list.

The invention relates to the technical field of force operation robots, in particular to a VR video return system and method based on a bionic operation robot, and the system comprises a bionic operation robot end and a VR end, and the bionic operation robot end comprises a video collection module, a video preprocessing module, a video coding module and a communication transmission module. The VR end comprises a communication receiving module, a video decoding module and a VR display and interaction module. According to the immersive experience provided by the VR technology, an operator can observe the working environment and the operation target of the bionic operation robot more intuitively and accurately, so that an operation instruction is sent more accurately. For example, in the operation of the bionic robot, an operator can see the detailed situation of the transformer substation through VR video return, and the bionic operation robot is accurately controlled to carry out fine operation.

The embodiment of the invention provides a video coding method and device and a video decoding method and device, and relates to the technical field of video coding and decoding. Comprises: obtaining a target image block; segmenting the target image block into a first sub-image block and a second sub-image block based on the texture edge in the target image block; obtaining a first prediction block of the first sub-image block and a second prediction block of the second sub-image block; combining the first prediction block and the second prediction block to obtain an initial prediction block, and obtaining a boundary line of the first prediction block and the second prediction block in the initial prediction block; determining the filtering intensity of each pixel point in the initial prediction block according to the minimum distance from the pixel point to the boundary line; filtering each pixel point in the initial prediction block based on the filtering intensity of each pixel point to obtain a fused prediction block; calculating the residual error of the target image block and the fusion prediction block to obtain residual error data; and generating coded data of the target image block according to the residual data. Some embodiments of the invention are used for solving the problem that boundary pixels of a synthesized prediction block are not smooth.

A video decoding method and a video decoding apparatus are configured to decode video. To efficiently code residual blocks obtained from block-based motion compensation, a video encoding apparatus and the video decoding apparatus divide a relevant residual block of a current block into two subblocks in a horizontal or vertical direction and encode one residual subblock alone out of the two residual subblocks.

An intra frame prediction method and apparatus based on interpolation filtering, a video encoding method and apparatus, a video decoding method and apparatus, and a system. The intra prediction method based on interpolation filtering comprises: determining, based on a determined filtering window and a reconstructed value of a sample in a reconstruction area neighboring to a current block, a filtering coefficient used to perform interpolation filtering on the current block; and performing interpolation filtering based on a sample value of a reference sample neighboring to a current sample and the filtering coefficient, to determine a predicted value of the current sample.

The invention relates to the technical field of image processing, and further relates to a video decoding and unreal engine rendering method based on GPU full-link zero copy, which comprises the following steps of: 1, performing hardware decoding on an input video code stream on a GPU, and constructing a motion vector description buffer region for storing compressed domain motion vector information according to a macro block sequence; step 2, reading the motion vector description buffer area on the GPU through a calculation shader, and generating dynamic special effect control buffer areas in one-to-one correspondence with the macro blocks; and step 3, in a post-processing material of the unreal engine rendering module, taking the shared video texture resource as an input texture, and outputting a video picture. On the premise of not depending on a host processor and not excessively occupying video memory bandwidth, unified management of pixel data and motion data is achieved, delay is remarkably reduced, and special effect stability and direction consistency are improved.

A video decoding method includes: determining first motion information of a current block; refining the first motion information based on motion information of a reference picture of the current block to obtain second motion information of the current block; and determining a prediction value of the current block based on the second motion information.

A training method, a training device, methods for video decoding and encoding, apparatuses and non-transitory computer-readable storage media thereof are provided. In one training method, a device may collect sample blocks offline, cluster the sample blocks offline into multiple block groups according to attribute information of each sample block, and train a non-separable transform core set offline based on the multiple block groups. The non-separable transform core set comprises multiple non-separable transform cores respectively corresponding to the multiple block groups.

Embodiments of the present application relates to the technical field of video decoding, and provide a video en / decoding method and apparatus and a storage medium, which are beneficial to improving the en / decoding efficiency. The method comprises: acquiring complexity information of a current block in an image to be processed, wherein the complexity information of the current block is obtained by calculating at least one angular gradient of the current block according to at least pixel values of the current block; determining quantization parameters of the current block according to the complexity information of the current block; en / decoding the current block on the basis of the quantization parameters.

A video decoding method includes obtaining a to-be-entropy-decoded syntax element in a current block by parsing a received bitstream, where the to-be-entropy-decoded syntax element includes a syntax element 1 or a syntax element 2 in the current block, obtaining a context model corresponding to the to-be-entropy-decoded syntax element, where both of a context model corresponding to the syntax element 1 and a context model corresponding to the syntax element 2 are determined from the same preset context model set, entropy decoding the to-be-entropy-decoded syntax element based on the context model corresponding to the to-be-entropy-decoded syntax element, and obtaining a reconstructed image of the current block based on the syntax element obtained by entropy decoding.

Methods for video decoding and encoding, apparatuses and non-transitory computer-readable storage media thereof are provided. In one method for video decoding, a decoder may obtain a current coding unit (CU) that is coded based on Intra Block Copy (IBC) mode combined with Geometric Partitioning Mode (GPM). Additionally, the decoder may obtain a prediction for the current CU based on the IBC mode combined with GPM.

Implementations are described for determining, for a block being encoded in a picture, at least one predictor candidate, determining for the at least one predictor candidate, one or more corresponding control point generator motion vectors, based on motion information associated to the at least one predictor candidate, determining for the block being encoded, one or more corresponding control point motion vectors, based on the one or more corresponding control point generator motion vectors determined for the at least one predictor candidate, determining, based on the one or more corresponding control point motion vectors determined for the block, a corresponding motion field, and encoding the block based on the corresponding motion field.

The invention provides a cross-platform video decoding method and device, computing equipment and a computer readable storage medium, and the method is combined with a factory mode to completely package bottom layer differences of all platform types, and an application layer developer does not need to care about the bottom layer platform differences. The optimal implementation can be automatically selected on different engines and platforms through a uniform API (Application Program Interface); during rendering, a single-frame memory management strategy is used, and only one frame which is currently displayed is reserved in a memory; and in the aspect of performance, the advantages of a multi-thread platform and the parallel computing characteristics of the GPU are fully utilized. According to the embodiment of the invention, through deep fusion of a cross-platform soft decoding architecture, single-frame memory optimization, multi-thread parallel, GPU acceleration and other technologies, perfect balance of cross-platform, high performance and low memory is realized, and the development efficiency of the whole project is improved.

Disclosed herein are a video decoding method and apparatus and a video encoding method and apparatus. In the encoding and decoding of a video, a prediction mode may be selected from among multiple prediction modes using prediction mode information for a target block, and prediction may be performed on the target block based on the selected prediction mode, wherein the prediction mode information includes information related to a reference block, and wherein the reference block comprises one or more of a spatially neighboring block that is spatially adjacent to the target block and a temporally neighboring block that is temporally adjacent to the target block. When the selected prediction mode includes a plurality of prediction modes, a prediction mode to be used for prediction of the target block may be decided on among the plurality of selected prediction modes through signaling of the prediction mode decision information.

The embodiments relate to a method for encoding / decoding. The encoding method (900) comprises receiving a video sequence (1505) comprising a first frame and a second frame; encoding (1510) the first frame into a first coded frame using a first coding method (901); reconstructing (1515) a first decoded frame corresponding to the first coded frame; deriving (1520) one or more optimizing parameters to adjust a traditional filter (1110), wherein the optimizing parameters reduce distortion of the first decoded frame to produce a first filtered frame; filtering (1525) the first decoded frame with the traditional filter (1010, 1110); encoding (1530) the second frame into a second coded frame by a second set of algorithms of the second coding method (906, 1210) and by using the first filtered frame directly or indirectly for prediction; and signalling (1535) said one or more optimizing parameters. The embodiments also relate to apparatuses for encoding / decoding.

Provided are an image decoding method and an image decoding apparatus, and an image encoding method and an image encoding apparatus which correspond thereto, the image decoding method including: selecting a current block from among a plurality of blocks obtained by dividing a current image; determining a plurality of transform blocks including a first transform block and a second transform block based on the current block; scaling a first direct current (DC) transform coefficient value of the first transform block using a size of the first transform block and a reference transform size to obtain a scaled first DC transform coefficient value; obtaining a prediction transform coefficient value for the second transform block based on a size of the second transform block and the scaled first DC transform coefficient value; determining a second DC transform coefficient value of the second transform block based on the prediction transform coefficient value; and restoring the current block by performing an inverse transform on the second transform block based on the second DC transform coefficient value

Methods for video decoding and encoding, apparatuses and non-transitory computer-readable storage media thereof are provided. In one method for video decoding, a decoder may obtain fractional motion information for a current block in an intra block copy (IBC) mode. Additionally, the decoder may obtain a final block vector (BV) for the current block based on the fractional motion information. Furthermore, the decoder may obtain a final prediction block for the current block based on the final BV.

The present invention provides a method and an apparatus for optimized post-processing that can be used in the area of video encoding and decoding. A video decoding method, according to one embodiment of the present invention, may comprise the steps of: receiving a bitstream including an encoded video and supplemental enhancement information related to the encoded video; extracting the encoded video and the supplemental enhancement information from the bitstream; decoding the encoded video to obtain a decoded video; and performing post-processing on the decoded video on the basis of the supplemental enhancement information, wherein the supplemental enhancement information includes post-processing information according to physical characteristics of a display device.

The invention relates to a video coding method and device, a video decoding method and device, electronic equipment and a storage medium. The video coding method comprises the following steps: acquiring difference information between a plurality of reference frames of a current frame and the current frame; determining weights corresponding to the plurality of reference frames based on the difference information; fusing the coding information of each reference frame in the plurality of reference frames based on the weights corresponding to the plurality of reference frames to obtain fused coding information; and coding the current frame based on the fused coding information to obtain a coding frame of the current frame.

A method and apparatus for video decoding / encoding are provided. In the provided method, a decoder obtains at least one secondary signal by applying at least one fixed filter to a primary signal. The at least one fixed filter is trained offline. The decoder obtains one or more spatially adjacent samples associated with the current sample. One or more spatially adjacent sample points are from at least one of the primary signal or the at least one secondary signal. The decoder obtains filtered sample points by applying at least one online filter to one or more spatially adjacent sample points associated with the current sample point.

The invention relates to a video decoding method suitable for an embedded system. The method comprises the following steps: for each acquired to-be-processed video decoding task, analyzing the video decoding task to obtain a coding parameter of a video stream; generating a task feature tag corresponding to the video decoding task according to the coding parameter and task source information, task type and task demand information carried in the video decoding task; according to the task feature tag corresponding to each video decoding task, performing priority classification on each video decoding task to be processed; detecting a decoding resource, a data transmission resource and load information of an image output module in the current system to obtain a current system resource state; according to a current system resource state, a hardware decoding channel is dynamically and preferentially allocated to a high-priority real-time task, and a software decoding channel is dynamically and preferentially allocated to a low-priority background task. According to the method, the video decoding performance can be improved.

The present invention provides a video signal encoding / decoding method and an apparatus for the method. The video decoding method of the present invention includes the following steps: determining whether to apply a merged motion difference encoding method to a current block; generating a merged candidate list for the current block; determining a merged candidate for the current block based on the merged candidate list; and deriving a motion vector for the current block based on the merged candidate.

A video decoding method by a video decoding apparatus includes: parsing, from a picture parameter set of a bitstream, a first flag related to whether a weighted prediction is applied to slices referring to the picture parameter set; parsing, from the picture parameter set, a second flag related to whether information about the weighted prediction is present in a picture header of the bitstream or is present in a slice header of the bitstream based on the first flag; parsing a prediction weighted table syntax from the picture header or the slice header based on the first flag and the second flag; generating prediction samples for the current block by performing weighted prediction for the current block in a current picture based on syntax elements in the prediction weighted table syntax; and generating reconstructed samples based on the prediction samples.