Abstract: An intra prediction method by using cross component liner prediction mode (CCLM), includes: determining a luma block corresponding to a current chroma block; obtaining luma reference samples of the luma block based on determining L available chroma reference samples of the current chroma block, wherein the obtained luma reference samples of the luma block are down-sampled luma reference samples; calculating linear model coefficients based on the luma reference samples and chroma reference samples that correspond to the luma reference samples; and obtaining a prediction for the current chroma block based on the linear model coefficients and values of a down-sampled luma block of the luma block.

Abstract: This application provides video picture prediction methods and apparatuses. In an implementation, a method for encoding of video picture comprises generating a bitstream for video signals, the bitstream comprises a plurality of syntax elements, wherein the plurality of syntax elements comprises a first identifier indicating that an affine motion model based motion compensation is enabled for a video sequence including a picture block to be processed, wherein a second identifier is conditionally signaled at least based on a value of the first identifier, wherein a false value of the second identifier indicates that a 6-parameter affine motion model based motion compensation is disabled for the video sequence, and wherein a true value of the second identifier indicates that the 6-parameter affine motion model based motion compensation is enabled for the video sequence.

Abstract: A video decoding method includes: obtaining block information of a current picture block; determining, based on the block information, whether a split mode of a set of optional split modes is available; determining a split mode of the current picture block from a determined available split mode; obtaining at least one coding unit (CU) from the current picture block based on the split mode of the current picture block, and parsing a bitstream including the current picture block, to obtain decoding information of the at least one CU, and decoding the at least one CU based on the decoding information, to obtain a reconstructed block.

Abstract: A video decoding method includes parsing a bitstream to obtain a split mode to transform units (TUs) in a current coding unit (CU). Each of the TUs has a serial number in a one-to-one correspondence with positions of the TUs in the current CU. A transform coefficient of a luminance transform block of a current TU in the TUs is obtained. A transform type of the luminance transform block of the current TU is obtained based on the split mode and a serial number of the current TU. An inverse transform on the transform coefficient of the luminance transform block of the current TU is performed based on the transform type of the luminance transform block of the current TU to obtain a reconstructed residual of the luminance transform block of the current TU. A reconstructed block of the current CU is obtained based on the reconstructed residual.

Abstract: An intra prediction method includes obtaining respective intra prediction modes or texture distributions of P reconstructed picture blocks in a surrounding region of a current block; obtaining, based on the respective intra prediction modes or texture distributions of the P reconstructed picture blocks, Q priori candidate intra prediction modes of the current block and Q probability values; obtaining, based on M probability values corresponding to M priori candidate intra prediction modes, M weighting factors corresponding to the M priori candidate intra prediction modes; separately performing intra prediction based on the M priori candidate intra prediction modes to obtain M predicted values; and obtaining a predicted value of the current block based on a weighted summation of the M predicted values and the corresponding M weighting factors.

Abstract: The technology of this application relates to an entropy encoding method that includes obtaining base layer information of a to-be-encoded picture block, where the base layer information corresponds to M samples in the picture block, and M is a positive integer, obtaining K elements corresponding to enhancement layer information of the picture block, where the enhancement layer information corresponds to N samples in the picture block, both K and N are positive integers, and N?M, inputting the base layer information into a neural network to obtain K groups of probability values, where the K groups of probability values correspond to the K elements, and any group of probability values is for representing probabilities of a plurality of candidate values of a corresponding element, and performing entropy encoding on the K elements based on the K groups of probability values.

Abstract: A video encoder, a video decoder, and a corresponding method are provided. The method includes: parsing a bitstream to obtain an index, where the index indicates a target candidate motion vector group of a current coding block; determining the target candidate motion vector group in an affine candidate motion vector list based on the index, where the affine candidate motion vector list includes at least a first candidate motion vector group, the first candidate motion vector group is obtained based on a first group of control points of a first neighboring affine coding block, and the first group of control points is determined based on a CTU located relative to the current coding block, wherein the first neighboring affine coding block is located in the CTU; and predicting a predicted sample value of the current coding block based on the target candidate motion vector group.

Abstract: A video coding mechanism is disclosed. The mechanism includes partitioning an image to create at least one coding tree unit (CTU) with at least one coding tree node. The mechanism further includes determining that the coding tree node height is twice a maximum transform unit (TU) height and the coding tree node width is twice a maximum TU width. The mechanism further includes selecting a split mode for the coding tree node based on the determination. The split mode is selected from a quad-tree split, a horizontal binary-tree split, and no split. The mechanism further includes applying the split mode to the coding tree node to create one or more coding units (CUs). The mechanism further includes encoding the CUs into a bitstream. The mechanism further includes transmitting the bitstream toward a decoder.

Abstract: A picture prediction method includes receiving a bitstream, parsing the bitstream to obtain a prediction mode of a current block, when the prediction mode of the current block is a combined intra and inter prediction mode, selecting an execution manner of a triangular prediction unit mode according to a preset policy, determining motion information of the current block according to the execution manner of the triangular prediction unit mode, performing a motion compensation process based on the motion information, to obtain an inter prediction sample, obtaining an intra prediction sample according to the prediction mode of the current block, and combining the inter prediction sample and the intra prediction sample to obtain a prediction picture of the current block.

Abstract: A picture prediction method is provided, which includes: obtaining initial motion information of a current picture block; determining, based on a matching cost criterion, that positions of a pair of reference blocks are a position of a target forward reference block of the current picture block and a position of a target backward reference block of the current picture block, where positions of each pair of reference blocks include a position of a forward reference block and a position of a backward reference block; and for the positions of each pair of reference blocks, a first position offset and a second position offset are in a mirror relationship; and obtaining a predicted value of a pixel value of the current picture block based on a pixel value of the target forward reference block and a pixel value of the target backward reference block.

Abstract: 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.

Abstract: An inter prediction method, including: when a prediction mode of a to-be-processed picture block is an affine motion model-based advanced motion vector prediction mode, obtaining control point motion vectors of the to-be-processed picture block, where the control point motion vectors meet preset first motion vector resolution and/or first motion vector bit depth; then, deriving a motion vector of each motion compensation unit in the to-be-processed picture block based on the control point motion vectors; and obtaining a reconstructed block of the to-be-processed picture block based on the motion vector of each motion compensation unit.

Abstract: Embodiments of this application disclose a decoding method includes: obtaining a bitstream including picture data; parsing the bitstream to obtain node split mode information of a first-level coding tree and node split mode information of a second-level coding tree, if the split mode corresponding to the first node is no further splitting, parsing the bitstream to obtain encoding information of the first node; and decoding and reconstructing, based on the encoding information of the first node, a coding unit corresponding to the first node, to obtain a picture corresponding to the picture data.

Abstract: A loop filtering method and apparatus are provided. The method includes: obtaining a first pixel matrix, where a value of a pixel at a corresponding location in the first pixel matrix corresponds to a luminance value of a pixel at a corresponding location in a first picture block; obtaining a second pixel matrix, where a pixel at a corresponding location in the second pixel matrix corresponds to a quantization step value corresponding to the luminance value of the pixel at the corresponding location in the first picture block; performing filtering processing on an input pixel matrix by using a filtering network to obtain an output pixel matrix, where the filtering network is a neural network that has a filtering function and is obtained through training, the output pixel matrix includes a third pixel matrix. Thus, filtering effect can be improved for reconstructed pictures of various quality levels.

Abstract: A method for inverse quantization of a current block of a picture is provided. The method is performed by a decoder, and the picture comprises a luminance component and a chrominance component, where the luminance component and the chrominance component are partitioned into multiple blocks. The method includes obtaining one or more existing quantization parameter (QP) values from a received bitstream, wherein the one or more existing QP values are associated with a current block in the chrominance component; determining a QP value for the current block in the chrominance component based on the one or more existing QP values; performing inverse quantization on the current block in the chrominance component using the determined QP value.

Abstract: A motion vector prediction method includes parsing a bitstream to obtain an index value of a candidate motion vector list and constructing the candidate motion vector list that includes. candidate motion vectors of K control points of a current block. The candidate motion vectors of K control points are obtained based on a 2N-parameter affine transform model used for a neighboring block of the current block, where N and K are integers greater than or equal to 2 and less than or equal to 4 with N not being equal to K. The method further includes determining, in the candidate motion vector list, target candidate motion vectors of the K control points based on the index value and obtaining a predicted motion vector of each subblock of the current block based on the target candidate motion vectors of the K control points.

Abstract: A video decoding method includes determining a usage of an SVT- vertical (V) or an SVT-horizontal (H) for a residual block; determining a transform block position of a transform block of the residual block; determining a transform type of the transform block, wherein the transform type indicates a horizontal transform and a vertical transform for the transform block, wherein at least one of the horizontal transform or the vertical transform is a discrete sine transform (DST)-7; and reconstructing the residual block based on the transform type, the transform block position, and transform coefficients of the transform block.

Abstract: A picture prediction method includes receiving a bitstream; parsing the bitstream to obtain a prediction mode of a current block; when the prediction mode of the current block is a combined intra and inter prediction mode, selecting an execution manner of a triangular prediction unit mode according to a preset policy; determining motion information of the current block according to the execution manner of the triangular prediction unit mode; performing a motion compensation process based on the motion information, to obtain an inter prediction sample; obtaining an intra prediction sample according to the prediction mode of the current block; and combining the inter prediction sample and the intra prediction sample to obtain a prediction picture of the current block.

Abstract: A method for detecting a field navigation line after ridge sealing of crops includes the following steps. A field crop image is acquired. Image color space transformation, image binaryzation, longitudinal integration, neighborhood setting and region integration calculation are sequentially performed on the field crop image to obtain a crop row image. Detections of an initial middle ridge, a left ridge and a right ridge are performed on the crop row image to obtain center lines of the initial middle ridge, left ridge and right ridge. Center lines of a left (right) crop row are established by using an area 1 between the center lines of the left (right) ridge and the initial middle ridge. A center line model of a middle ridge is established by using an area 0 between the center lines of the left and right crop rows, namely a navigation line of a field operation machine.

Abstract: A reference frame obtaining method includes determining a first reference frame list and a second reference frame list of a current picture block, determining, from the first reference frame list, whether an X-directional reference frame x1 satisfying a condition A1 exists, determining, from the second reference frame list, whether a Y-directional reference frame y1 satisfying a condition B1 exists, and in response to determining that the X-directional reference frame x1 exists and determining that the Y-directional reference frame y1 exists, obtaining index values (R1, R2) of bidirectional reference frames of the current picture block.