Abstract: Point cloud coding methods, an encoder, and a decoder are provided. The method includes the following. Morton codes for a point cloud are obtained according to geometry information of the point cloud after geometry decoding is completed and the geometry information is reconstructed. The point cloud is determined as an input point cloud of an iteration. Morton codes for an input point cloud of an i-th iteration are right shifted by K bits according to a number of points in the input point cloud of the i-th iteration, where K is a positive integer. A point is selected from points with a same value of Morton codes after right shifted by K bits. An i-th level of detail (LOD) layer is formed with the point selected. Color information is decoded according to the LOD layer.

Abstract: A prediction method, apparatus, and a computer storage medium for decoding, the method includes: acquiring reference samples adjacent to at least one side of a decoding block; determining a reference point from the at least one side and determining reference sample positions to be selected corresponding to the at least one side according to a preset number of samples; selecting reference samples corresponding to the reference sample positions to be selected from the reference samples based on the reference sample positions to be selected; and performing prediction decoding on the decoding block based on the selected reference samples.

Abstract: An information processing method and device, an apparatus, and a storage medium. The method includes: for inputted source video data, predicting a colour component of a coding block in the source video data according to a prediction mode to obtain a first prediction block, wherein the prediction mode is preset and is a Position-Dependent Prediction Combination (PDCP) mode; determining a difference between the colour component of the coding block and a prediction value of the first prediction block to obtain a residual block; and signalling the residual block and the prediction mode in a bitstream.

Abstract: A prediction method, apparatus, and a computer storage medium for encoding, the method includes: acquiring reference samples adjacent to at least one side of a coding block; determining a reference point from the at least one side and determining reference sample positions corresponding to the at least one side according to a preset number of samples; deriving reference samples corresponding to the reference sample positions from the reference samples; and performing prediction on the coding block based on the derived reference samples.

Abstract: A method for colour component prediction, applied to an encoder and includes: determining a neighbouring reference sample set of a current block, wherein the neighbouring reference sample set comprises at least one reference sample; determining a preset parameter value corresponding to the current block, including: determining a bitdepth value corresponding to a to-be-predicted colour component of the current block; and performing a shift on 1 by the bitdepth value minus 1 to obtain the preset parameter value. The method further includes: determining an input sample matrix by means of a first preset calculation model based on the neighbouring reference sample set and the preset parameter value; and performing colour component prediction on the current block according to the input sample matrix to obtain a prediction block of the current block.

Abstract: Disclosed are a point cloud encoding and decoding method and device based on a two-dimensional regularization plane projection. The encoding method includes: acquiring original point cloud data; performing two-dimensional regularization plane projection on the original point cloud data to obtain a two-dimensional projection plane structure; obtaining a plurality of pieces of two-dimensional image information according to the two-dimensional projection plane structure; and encoding the plurality of pieces of two-dimensional image information to obtain code stream information.

Abstract: A video colour component prediction method and apparatus, and a computer storage medium are provided. The prediction method includes: obtaining a first colour component neighboring reference value and a first colour component reconstructed value corresponding to a current coding block, wherein the first colour component neighboring reference value represents a first colour component parameter corresponding to a neighboring reference sample of the current coding block, and the first colour component reconstructed value represents one or more reconstruction parameters of a first colour component corresponding to the current coding block; determining a weight coefficient corresponding to the neighboring reference sample; determining a scale factor according to the weight coefficient and the first colour component neighboring reference value; and obtaining a second colour component predicted value corresponding to the current coded block based on a linear model corresponding to the scale factor.

Abstract: Embodiments of the present application provide an occupancy information prediction method, an encoder, a decoder, and a storage medium. The occupancy information prediction method comprises: when an encoder encodes geometrical information on the basis of an octree, determining encoding information corresponding to a neighboring node of a node to be predicted, and a distance parameter between a child node of the node to be predicted and the neighboring nodes; wherein the encoding information corresponding to the neighboring node comprises occupancy information; determining an occupancy weight corresponding to the child node of the node to be predicted according to the distance parameter, and the encoding information corresponding to the neighboring node; performing a prediction processing on the child node according to the occupancy weight and a preset occupancy threshold set to obtain a node type corresponding to the child node.

Abstract: An image prediction method includes: an initial prediction value of a to-be-predicted colour component of a current block is determined; a sample associated with a reference colour component of the current block is determined; side information of the current block is determined according to the sample associated with the reference colour component; the initial prediction value is filtered by using a preset network model and the side information of the current block, to obtain a target prediction value of the to-be-predicted colour component of the current block; and the to-be-predicted colour component of the current block is encoded according to the target prediction value.

Abstract: Provided is a method for predicting attribute information, a coder, a decoder, and a storage medium. The coder determines a current Morton code corresponding to a point to be predicted in a point cloud to be coded, determines a target Morton code corresponding to the point to be predicted based on the current Morton code and according to a preset neighbor information table, judges whether a neighbor point of the point to be predicted exists in the point cloud to be coded according to the target Morton code, and performs prediction to obtain a predicted attribute value of the point to be predicted according to attribute reconstruction information of the neighbor point in response to that the neighbor point exists in the point cloud to be coded.

Abstract: Methods for determining a prediction value, an encoder, and a decoder are provided. Reconstructed values of neighboring samples of a current block are acquired, and then filtered to obtain a reference value set of the current block. When a size of the current block is smaller than a preset threshold value, a first constant value is calculated according to a bit depth value of a luma component of a sample in the current block. A difference between the first constant value and a first reference value in the reference value set is determined as a first prediction input value in a prediction input value set. Other prediction input values in the prediction input value set other than the first prediction input value are determined according to the reference value set. Prediction values of samples at specific positions in the current block is calculated and then filtered.

Abstract: The embodiments of the disclosure disclose a method for determining a prediction direction, a decoder and a computer storage medium. The method is implemented by a decoder. The method includes that: a Direct Mode (DM) in a chroma intra prediction mode of a block to be decoded is acquired (S101); and an index number of a prediction direction in a DM derived mode is determined based on an offset N and an index number M of a prediction direction in the DM to determine the DM derived mode (S102).

Abstract: A method for level partition of a point cloud includes: decoding a point cloud bitstream, the point cloud bitstream including geometry information and attribute information of the point cloud; determining a maximum permissible value of a first syntax element in the point cloud bitstream; parsing the point cloud bitstream to determine a value of the first syntax element according to the maximum permissible value; determining, according to the value of the first syntax element, a number of levels of detail (LODs) in a process of decoding the attribute information; and decoding the attribute information according to the number of the LODs and the geometry information, to determine a reconstructed point cloud of the point cloud.

Abstract: A video encoding method is applicable to an encoder, and comprises: determining side information having a correlation with a current coding unit; filtering first relevant information to be coded of the current coding unit by using a preset network model and the side information, to obtain second relevant information to be coded; and inputting the second relevant information to be coded into a subsequent coding module for encoding, to obtain a bitstream.

Abstract: Provided is a method for predicting attribute information, a coder, a decoder, and a storage medium. The coder determines a current Morton code corresponding to a point to be predicted in a point cloud to be coded, determines a target Morton code corresponding to the point to be predicted based on the current Morton code and according to a preset neighbor information table, judges whether a neighbor point of the point to be predicted exists in the point cloud to be coded according to the target Morton code, and performs prediction to obtain a predicted attribute value of the point to be predicted according to attribute reconstruction information of the neighbor point in response to that the neighbor point exists in the point cloud to be coded.

Abstract: Disclosed are a loop filtering implementation method and apparatus, and a computer storage medium. The method comprises: obtaining an picture to be filtered, wherein the picture to be filtered is generated from an original picture during the video encoding of a video to be encoded, the video to be encoded comprises an original picture frame, and the original picture frame comprises the original picture; based on the picture to be filtered, separately obtaining at least two colour components of the picture to be filtered; determining the fusion information of the picture to be filtered, wherein the fusion information is obtained by fusing the at least two colour components; and based on the fusion information, performing loop filtering processing on the picture to be filtered to obtain at least one colour component subsequent to filtering the picture to be filtered.

Abstract: A prediction method, apparatus, and a computer storage medium for decoding, the method includes: acquiring reference samples adjacent to at least one side of a decoding block; determining a reference point from the at least one side and determining reference sample positions to be selected corresponding to the at least one side according to a preset number of samples; selecting reference samples corresponding to the reference sample positions to be selected from the reference samples based on the reference sample positions to be selected; and performing prediction decoding on the decoding block based on the selected reference samples.

Abstract: A prediction method, apparatus, and a computer storage medium for decoding, the method includes: acquiring reference samples adjacent to at least one side of a decoding block; determining a reference point from the at least one side and determining reference sample positions to be selected corresponding to the at least one side according to a preset number of samples; selecting reference samples corresponding to the reference sample positions to be selected from the reference samples based on the reference sample positions to be selected; and performing prediction decoding on the decoding block based on the selected reference samples.

Abstract: A prediction method, apparatus, and a computer storage medium for decoding, the method includes: acquiring reference samples adjacent to at least one side of a decoding block; determining a reference point from the at least one side and determining reference sample positions to be selected corresponding to the at least one side according to a preset number of samples; selecting reference samples corresponding to the reference sample positions to be selected from the reference samples based on the reference sample positions to be selected; and performing prediction decoding on the decoding block based on the selected reference samples.

Abstract: Provided is a method for predicting attribute information, a coder, a decoder, and a storage medium. The coder determines a current Morton code corresponding to a point to be predicted in a point cloud to be coded, determines a target Morton code corresponding to the point to be predicted based on the current Morton code and according to a preset neighbor information table, judges whether a neighbor point of the point to be predicted exists in the point cloud to be coded according to the target Morton code, and performs prediction to obtain a predicted attribute value of the point to be predicted according to attribute reconstruction information of the neighbor point in response to that the neighbor point exists in the point cloud to be coded.