Abstract: A video processing method includes obtaining motion information of a neighboring block of a current image block, dividing the current image block into a plurality of sub-blocks in response to the neighboring block satisfying a preset condition, determining, in a time-domain reference image of the current image block, related blocks of the plurality of sub-blocks according to a motion vector of the neighboring block, and performing prediction on the current image block according to motion vectors of the related blocks.

Abstract: A video image processing method includes determining a related block of a current image block according to a motion vector of a target neighboring block, the current image block, and a collocated frame of the current image block, decoding the current image block according to a motion vector of the related block of the current image block, constructing motion vectors of part of control points of the current image block according to neighboring blocks of the part of the control points of the current image block, and adding the motion vectors of the part of the control points of the current image block to a motion vector candidate list of the current image block.

Abstract: A video processing method includes dividing a region of a current frame to obtain a plurality of image blocks, obtaining a historical motion information candidate list, and obtaining candidate historical motion information for the plurality of image blocks according to the historical motion information candidate list. The candidate historical motion information is a candidate in the historical motion information candidate list. The method further includes performing prediction for the plurality of image blocks according to the candidate historical motion information. A size of each of the plurality of image blocks is smaller than or equal to a preset size. The same historical motion information candidate list is used for the plurality of image blocks during the prediction. The historical motion information candidate list is not updated while the prediction is being performed for the plurality of image blocks.

Abstract: A video image processing method includes binarizing a chrominance prediction mode of the image block of a to-be-encoded/decoded image to obtain a bit string, the bit string including two adjacent bits, the to-be-encoded/decoded image being permitted to use a CCLM and/or a regular intra-frame chrominance prediction mode, and the CCLM including a first mode, a second mode, and a third mode, and using mutually independent probability models to encode/decode a first bit and a second bit. The first bit of the adjacent bits indicates whether the CCLM is used, the second bit indicates whether to use the first mode of the CCLM when the first bit indicates to use the CCLM, the third bit indicates whether the second mode or the third mode of the CCLM is used when the second bit indicates that the first mode of the CCLM is not used.

Abstract: A video image processing method including determining a current image block, constructing a motion information candidate list for the current image block, in response to a size of the current image block meeting a preset condition, turning off a temporal motion vector prediction (TMVP) operation so that a temporal candidate motion vector of the current image block is not determined according to the TMVP operation, and encoding the current image block. The TMVP operation includes determining a relevant block of the current image block in a temporal neighboring image, and determining the temporal candidate motion vector of the current image block according to a motion vector of the relevant block.

Abstract: A video image processing method includes determining a current image block; in response to a size of the current image block not meeting a first preset condition, skipping an advanced/alternative temporal motion vector prediction (ATMVP) operation so that a temporal candidate motion vector of the current image block is not determined according to the ATMVP operation; and encoding the current image block. The ATMVP operation includes determining a relevant block of the current image block in a temporal neighboring image; dividing the current image block into a plurality of sub-blocks; for each of the sub-blocks, determining a corresponding relevant sub-block in the relevant block; and determining temporal candidate motion vectors of the sub-blocks of the current image block according to motion vectors of the relevant sub-blocks corresponding to the sub-blocks.

Abstract: A video image processing method including determining a current image block, in response to a size of the current image block meeting a preset condition, skipping a temporal motion vector prediction (TMVP) operation so that a temporal candidate motion vector of the current image block is not determined according to the TMVP operation, and encoding the current image block. The TMVP operation includes determining a relevant block of the current image block in a temporal neighboring image, and determining the temporal candidate motion vector of the current image block according to a motion vector of the relevant block.

Abstract: A video encoding method includes encoding images of an image sequence to generate a bitstream of the image sequence. Different identifiers are used for two chrominance components of one image in a syntax element of an image level in the bitstream to indicate whether the corresponding chrominance components are filtered by adaptive loop filtering (ALF).

Abstract: An in-loop filtering method includes determining a target filter for a chrominance component of a current block of an image from a plurality of cross-component ALF filters, determining target filter coefficients for the chrominance component according to the chrominance component after ALF and a luminance component of the current block without ALF, filtering the chrominance component after ALF according to the target filter and the target filter coefficients, determining a filtered chrominance component of the current block according to the chrominance component after being filtered with the target filter coefficients and the chrominance component after the ALF, encoding according to the filtered chrominance component of the current block, and encoding a total number of the plurality of cross-component ALF filters as a syntax element. A stream of the image includes only one syntax element for indicating the total number of the plurality of cross-component ALF filters.

Abstract: A video image processing method includes, in response to a specific neighboring block of a current image block satisfying a preset condition, determining a collocated block of the current image block according to a motion vector of the specific neighboring block, determining a specific candidate from a motion vector candidate list of the current image block according to the collocated block of the current image block for using in prediction for the current image block, scanning neighboring blocks of the current image block and determining a control point motion vector group of each of one or more neighboring blocks that use an affine transformation mode for prediction, and adding the control point motion vector group of each of the determined one or more neighboring blocks into the motion vector candidate list of the current image block as a candidate.

Abstract: A video processing method includes obtaining motion information of a neighboring block of a current image block, dividing the current image block into a plurality of sub-blocks in response to the neighboring block satisfying a preset condition, determining, in a time-domain reference image of the current image block, related blocks of the plurality of sub-blocks according to a motion vector of the neighboring block, and performing prediction on the current image block according to motion vectors of the related blocks.

Abstract: A video encoding and decoding method includes determining an image block set based on one or more similar image blocks of an image block to be processed, generating an initial structure matrix of the image block set based on a pixel value of each image block in the image block set, and performing a filtering process on the initial structure matrix to obtain a reconstructed structure matrix. The reconstructed structure matrix corresponds to a reconstructed pixel value of the each image block. The filtering process includes one or more point-fixing processes. The method further includes reconstructing the each image block based on the reconstructed pixel value of the each image block.

Abstract: A video image processing method includes dividing a coding unit into one or more sub-block, constructing first and second motion vector candidate lists, and performing prediction for the coding unit according to the first and second motion vector candidate lists. The first motion vector candidate list includes a motion vector of a sub-block of the coding unit, and the second motion vector candidate list includes a motion vector of the coding unit. Constructing the first motion vector candidate list includes determining a reference motion vector of the coding unit, determining a related reference block of the sub-block of the coding unit in a co-located reference image of the coding unit according to the reference motion vector, determining a scaling factor of the motion vector of the related reference block, adding the scaled motion vector into the first motion vector candidate list.

Abstract: A video processing method includes performing or skipping following processing based on whether a size of a coding unit is not smaller or is smaller than 8×8. The processing includes dividing the coding unit into sub-blocks each having a fixed size of 8×8, scanning a left neighboring block and determining a reference motion vector of the coding unit, determining a related reference block of a sub-block in the co-located reference image according to the reference motion vector, determining a scaling factor of a motion vector of the related reference block, scaling the motion vector of the related reference block using the scaling factor, determining motion information of the sub-block according to the scaled motion vector, and performing prediction for the coding unit according to the motion information.

Abstract: A video processing method includes performing or skipping following processing based on whether a size of a coding unit is not smaller or is smaller than 8×8. The processing includes dividing the coding unit into sub-blocks each having a fixed size of 8×8, scanning a left neighboring block and determining a reference motion vector of the coding unit, determining a related reference block of a sub-block in the co-located reference image according to the reference motion vector, determining a scaling factor of a motion vector of the related reference block, scaling the motion vector of the related reference block using the scaling factor, determining motion information of the sub-block according to the scaled motion vector, and performing prediction for the coding unit according to the motion information.

Abstract: A video image processing method includes binarizing a chrominance prediction mode of the image block of a to-be-encoded/decoded image to obtain a bit string, the bit string including two adjacent bits, the to-be-encoded/decoded image being permitted to use a CCLM and/or a regular intra-frame chrominance prediction mode, and the CCLM including a first mode, a second mode, and a third mode, and using mutually independent probability models to encode/decode a first bit and a second bit. The first bit of the adjacent bits indicates whether the CCLM is used, the second bit indicates whether to use the first mode of the CCLM when the first bit indicates to use the CCLM, the third bit indicates whether the second mode or the third mode of the CCLM is used when the second bit indicates that the first mode of the CCLM is not used.

Abstract: A video image processing method including determining a current image block, in response to a size of the current image block meeting a preset condition, skipping a temporal motion vector prediction (TMVP) operation so that a temporal candidate motion vector of the current image block is not determined according to the TMVP operation, and encoding the current image block. The TMVP operation includes determining a relevant block of the current image block in a temporal neighboring image, and determining the temporal candidate motion vector of the current image block according to a motion vector of the relevant block.

Abstract: The present disclosure provides a loop filtering method which includes determining a clip index parameter of a loop filter, and encoding the clip index parameter by using a non-exponential Golomb encoding method.

Abstract: A video encoding method including obtaining a motion vector candidate list of a current image block; determining a base motion vector according to motion vectors in the motion vector candidate list; in response to the base motion vector pointing to a short-term reference image, scaling a motion vector offset of the base motion vector using a scaling factor to obtain a scaled motion vector offset, and performing prediction for the current image block according to a motion vector determined by the scaled motion vector offset and the base motion vector; and in response to the base motion vector pointing to a long-term reference image, skipping scaling of the motion vector offset, and performing prediction for the current image block according to a motion vector determined by the motion vector offset that is not scaled and the base motion vector.

Abstract: A video image processing method includes determining a current image block; in response to a size of the current image block not meeting a first preset condition, skipping an advanced/alternative temporal motion vector prediction (ATMVP) operation so that a temporal candidate motion vector of the current image block is not determined according to the ATMVP operation; and encoding the current image block. The ATMVP operation includes determining a relevant block of the current image block in a temporal neighboring image; dividing the current image block into a plurality of sub-blocks; for each of the sub-blocks, determining a corresponding relevant sub-block in the relevant block; and determining temporal candidate motion vectors of the sub-blocks of the current image block according to motion vectors of the relevant sub-blocks corresponding to the sub-blocks.