19results about How to "Improve encoding performance" patented technology

The present application discloses a VVC multi-directional motion refinement optimization method based on a Merge mode from the VVC inter prediction with a Merge process with a motion vector difference, which only has a small part of coding units (CUs) to search in a large step, and fails to consider the multi-directionality of the motion in the actual process. First, the first two MV information in the extended Merge candidate list is selected as the initial MV, and is expanded from four step lengths and eight directions; it is judged whether the current step length index is greater than 1, if yes, skip the chroma block motion compensation and the bi-directional optical flow prediction mode; otherwise, skip the chroma block motion compensation, and after the optimal Merge mode is obtained, entropy coding is carried out. Compared with the VVC coding standard, the average bit rate of Y, Cb and Cr is saved by 0.57%, 0.62% and 0.25% respectively by the VVC multi-directional motion refinement optimization method based on the Merge mode.

The application provides a video coding quantization method, device, equipment and computer readable storage medium. The method comprises the following steps: obtaining a to-be-coded video frame, performing block processing and transformation processing on the to-be-coded video frame to obtain transformed video frame data; obtaining frame attribute information of the to-be-coded video frame; determining a quantization mode of the to-be-coded video frame based on the frame attribute information of the to-be-coded video frame, wherein the quantization mode is one of dependent quantization and independent quantization, wherein the dependent quantization needs to depend on the quantization result before the current to-be-quantized coefficient, and the independent quantization does not need to depend on the quantization result before the current to-be-quantized coefficient; and performing quantization processing on the transformed video frame data based on the quantization mode of the to-be-coded video frame to obtain a quantization result. Through the application, the quantization mode can be determined based on the frame attribute information of the video frame, and the quantization flexibility is improved.

This application provides a decoding and encoding method, apparatus, and device. The method includes: obtaining a target probability distribution model corresponding to a first scaling factor based on a first bitstream corresponding to a current block; decoding a second bitstream corresponding to the current block based on the target probability distribution model corresponding to the first scaling factor to obtain corrected residual features corresponding to the current block; and determining a reconstructed image block corresponding to the current block based on the corrected residual features. This application improves encoding and decoding performance.

Embodiments of the present application provide a video processing method, device, computer equipment, storage medium and program product. The video processing method comprises: obtaining a target video frame to be encoded from a target video; obtaining a video attribute feature of the target video, determining an encoding offset parameter matched with the video attribute feature; performing quantization parameter estimation on the target video frame according to the encoding offset parameter, obtaining an initial quantization parameter of the target video frame; adjusting the initial quantization parameter of the target video frame to obtain an encoding quantization parameter of the target video frame; and performing encoding processing on the target video frame according to the encoding quantization parameter of the target video frame. According to the embodiments of the present application, the encoding quantization parameter can be determined for video encoding.

The application provides a decoding and encoding method, device and equipment, including: decoding a first code stream corresponding to a current image block to obtain a coefficient hyperparameter feature; determining a probability distribution parameter based on the coefficient hyperparameter feature, and decoding a second code stream of the current image block based on the probability distribution parameter to obtain a reconstructed feature; inputting the reconstructed feature into a synthesis transformation network to obtain a reconstructed image block; the synthesis transformation network includes an attention module, and the attention module is a cascaded hybrid attention module or a parallel hybrid attention module; the cascaded hybrid attention module includes a first attention submodule and a second attention submodule, and the first attention submodule and the second attention submodule are in series; the parallel hybrid attention module includes a first attention submodule and a second attention submodule, and the first attention submodule and the second attention submodule are in parallel. The application improves the decoding performance and reduces the complexity.

The present disclosure relates to an encoding method, a decoding method, a device, an electronic device and a readable storage medium. The encoding method comprises: obtaining a first coefficient sequence of a to-be-encoded CG block, wherein the first coefficient sequence comprises a first absolute value and a first sign value of each coefficient in the to-be-encoded CG block; determining a first index of the first coefficient sequence and a first sign value of a first N non-zero coefficients, wherein the first index is a value obtained by performing a preset processing on each first absolute value, and N is an integer greater than 1; determining a second absolute value and a second sign value of each coefficient in the first coefficient sequence based on a comparison between the first index and the first sign value of the first N non-zero coefficients and a preset sign index table, to obtain a second coefficient sequence; and encoding the second coefficient sequence to obtain encoding information of the to-be-encoded CG block, wherein the second sign value of the first N non-zero coefficients in the second coefficient sequence is not encoded. The method can improve the encoding performance.

A video decoding method performed by a decoding apparatus according to the present document may comprise the steps of: obtaining, from a bitstream, information indicating a level value of a transform coefficient in a current block; selecting one Rice parameter look-up table for the information indicating the level value of the transform coefficient, from among a plurality of Rice parameter look-up tables; deriving a Rice parameter for the information indicating the level value of the transform coefficient on the basis of the selected Rice parameter look-up table; deriving a bin string for the information indicating the level value of the transform coefficient on the basis of the Rice parameter; and deriving the level value of the transform coefficient on the basis of the bin string.

This application provides a video transcoding method, system, electronic device, and storage medium, belonging to the field of video processing technology. The method includes: acquiring a video stream; decapsulating the video stream to obtain decapsulated data; extracting dynamic metadata from the video stream; traversing the dynamic metadata to determine if a scene change exists; when traversing the dynamic metadata determines that a scene change exists, recording the target dynamic metadata corresponding to the scene change; determining the target frame number based on the target dynamic metadata; determining the scene-changing frame and non-scene-changing frames in the video stream based on the target frame number; adjusting the encoding parameters of the scene-changing frames and / or non-scene-changing frames during re-encoding; and performing video encoding processing based on the adjusted encoding parameters to obtain a transcoded bitstream. In this way, dynamic metadata is used to identify video scene changes, and re-encoding is performed based on scene changes to adjust the bitrate. Non-scene-changing frames reduce the number of code bytes, saving total codewords and improving encoding performance.

The invention provides a crew personalized ship recommendation method based on a graph neural network and Transform enabling, and the method comprises the steps: constructing a knowledge graph of multiple entity types, and converting dispersed maritime data into a structured semantic relation network; the method comprises the following steps: acquiring maritime data by adopting a multi-source data fusion strategy, and preprocessing the maritime data to obtain a triple data set; a variational heterogeneous graph auto-encoder is designed, and unified representation and potential association modeling of multi-source heterogeneous data are achieved; constructing a breadth-depth dual-channel knowledge graph aggregation model which comprises a breadth channel, a depth channel and a dual-channel self-attention fusion module; a user-relation-entity three-dimensional joint contrast learning framework is designed, a user-relation-entity is taken as a core dimension, and a semantic boundary is enhanced in an embedding space by constructing a multi-type sample pair and a joint loss function, so that entity representation distances with similar semantics are shortened, entity representation distances with irrelevant semantics are deduced, and a user-relation-entity three-dimensional joint contrast learning framework is obtained. And finally, outputting an accurate ship recommendation result.

A video encoding method and apparatus are disclosed. An intra prediction method for video decoding includes determining an intra prediction mode belonging to an initial directional prediction range for an intra prediction of an MxN current block, determining whether to correct the intra prediction mode from the initial directional prediction range to a corrected directional prediction range based on a horizontal length N and a vertical length M of the MxN current block, determining a corrected intra prediction mode belonging to the corrected directional prediction range, and performing the intra prediction of the MxN current block based on the corrected intra prediction mode, the initial directional prediction range including a first prediction range, a second prediction range, and a third prediction range, the corrected directional prediction range including the first prediction range, the second prediction range, and a fourth prediction range according to the vertical length M, the intra prediction being performed by using reference regions adjacent to the current block, the reference regions including an upper reference pixel column and a left reference pixel column of the current block.

At present, most video compression technologies mainly depend on a predictive coding framework, and the method assumes that a current pixel and a pixel at the same position in a predictive frame have very high correlation, but neglects the relationship between adjacent pixels in the predictive frame, so that an entropy value is higher than an entropy value of conditional coding. Therefore, the invention provides a video compression method based on conditional coding, and the method optimizes the coding and decoding of the current video frame through an efficient space-time entropy model in combination with multi-reference time domain context information as conditional input, so that the advantages of conditional coding are brought into play to the greatest extent. Experimental results show that the method is superior to the existing video compression technology in the aspects of peak signal-to-noise ratio (PSNR) and multi-scale structural similarity (MS-SSIM).

This specification provides a motion vector processing method and apparatus. The motion vector processing method includes: obtaining a candidate motion vector list for the current block of a video to be decoded; determining a target motion vector to be added based on the number of free slots in the candidate motion vector list and the motion vector addition priority order, wherein the number of target motion vectors to be added is less than or equal to the number of free slots; the motion vector addition priority order includes the order of addition priorities of multiple motion vectors; among the multiple motion vectors, the motion vector with greater relevance to the current block has a higher addition priority; obtaining the target motion vector to be added; and adding the target motion vector to the candidate motion vector list, thereby optimizing the candidate motion vector list.

A video encoding method and apparatus are disclosed. An intra prediction method for video decoding, comprising: determining an intra prediction mode belonging to an initial directional prediction range for an intra prediction of an MxN current block; determining whether to correct the intra prediction mode from the initial directional prediction range to a corrected directional prediction range based on a horizontal length N and a vertical length M of the MxN current block; determining a corrected intra prediction mode belonging to the corrected directional prediction range; performing the intra prediction of the MxN current block based on the corrected intra prediction mode, the initial directional prediction range comprising a first prediction range, a second prediction range and a third prediction range, the corrected directional prediction range comprising the first prediction range, the second prediction range and a fourth prediction range according to the vertical length M of the MxN current block, the intra prediction of the MxN current block being performed by using a reference region adjacent to the MxN current block.

The present disclosure provides a video compression method, device, electronic equipment and storage medium, belonging to the field of multimedia technology. The method comprises: performing parallel encoding on multiple rows of video blocks in a video frame in a video to obtain encoding information of each video block in the video frame; for the i-th row of video blocks in the video frame, updating an entropy coding model of a first video block in the i-th row of video blocks based on the encoding information of a tail video block in the (i-1)-th row of video blocks, the i-th row of video blocks being a non-first row of video blocks in the video frame; updating codewords of multiple video blocks in the i-th row of video blocks based on the updated entropy coding model; and sorting the codewords of the multiple video blocks based on the positions of the multiple video blocks in the video frame to obtain a compressed bitstream of the video frame. The above method can improve the prediction accuracy of the entropy coding model, make the updated codewords more accurate and concise, improve the video encoding performance, and reduce the resource consumption in transmission.

The disclosure discloses an image processing method and device, electronic equipment and storage medium, and relates to the technical field of data processing, which comprises the following steps: dividing a to-be-processed image into at least one pixel image block, processing each pixel image block in sequence to obtain at least one sub-pixel region corresponding to each pixel image block, and determining a target texture value of each pixel image block based on the brightness information of each sub-pixel region; determining a texture index value of each pixel image block based on the target texture value, and determining a correction value of each pixel image block in combination with the correction result of the texture index value; matching a corresponding target coding quantization value from a preset coding quantization table in combination with the correction value, so as to optimize the to-be-processed image; and the target texture value and the texture index value are determined based on the pixel image block, and the target coding quantization value is matched by the correction value determined based on the texture index value, so that the calculation complexity of feature extraction is reduced, the target coding quantization value is adapted to the image content feature, and the coding effect of the image is optimized.

The invention provides a video coding and decoding method and device, electronic equipment, a storage medium, a bit stream storage method and a program product, and the video coding method comprises the steps: obtaining a first statistical value for a current coding tree unit (CTU) in a current frame, the first statistical value is a statistical value of a block of an MMVD mode in a selected merge prediction mode in an associated CTU related to the current CTU, and the associated CTU comprises a co-located CTU in a reference frame of the current frame and an adjacent CTU of the co-located CTU, wherein the co-located CTU and the current CTU are co-located; in response to the first statistical value meeting a preset threshold condition, adjusting the merge prediction mode syntax tree structure to firstly encode an MMVD enabling flag, the preset threshold condition being that the first statistical value exceeds a threshold related to the preset threshold condition; and in response to the fact that the current block in the current CTU is in the merge prediction mode, coding the current block based on the adjusted merge prediction mode syntax tree structure.

The present application relates to a video decoding method, a video encoding method and a method of transmitting data. The video decoding method comprises: obtaining, from a bitstream, block partition information of a current block having a tree-based partition structure; performing block partitioning on the current block by using the obtained block partition information; and decoding sub-blocks resulting from the block partitioning of the current block, wherein the block partition information comprises at least one of first partition information indicating whether the block is partitioned into four blocks and second partition information indicating whether the block is partitioned into two blocks, the current block is divided into a luma component block and a chroma component block, the block partition information is parsed for the luma component block and the chroma component block respectively, and decoding the sub-blocks comprises: obtaining, from the bitstream, decoded information of the sub-blocks, including residual information comprising quantized coefficients; deriving a residual signal of the sub-block based on the quantized coefficients; and generating a reconstructed signal of the sub-block based on the residual signal.

The application discloses a decoding method, an encoding method, a device, equipment and a storage medium, and belongs to the technical field of image decoding. The application determines the motion vector availability of a neighboring prediction image block corresponding to a current image block, decodes the current image block according to the motion vector availability of the neighboring prediction image block, and uses the motion vector prediction mechanism and the use strategy to accurately obtain the predicted value of the motion vector and improve the encoding performance.