CHROMA INTRA PREDICTION METHOD AND DEVICE
    1.
    发明公开

    公开(公告)号:US20240098274A1

    公开(公告)日:2024-03-21

    申请号:US18493496

    申请日:2023-10-24

    CPC classification number: H04N19/159 H04N19/105 H04N19/176 H04N19/186

    Abstract: Chroma intra prediction methods and devices are provided. The method comprising: parsing bitstream data corresponding to a current chroma block, and determining that a prediction mode corresponding to the current chroma block is DM; before determining a set of chroma prediction modes based on at least one modified candidate mode, acquiring a linear mode corresponding to the current chroma block from the bitstream data; determining an intra prediction mode of the current chroma block from the set of chroma prediction modes, wherein the set of chroma prediction modes comprises at least one of the DM, LM, LM_T or LM_L, wherein when a luma prediction mode corresponding to the DM is a DC mode or a planar mode, the set of chroma prediction modes comprises a diagonal angular mode with prediction direction index number 66, determining a reconstructed value of the current chroma block according to the intra prediction mode.

    POINT CLOUD CODING METHODS, ENCODER, AND DECODER

    公开(公告)号:US20230007250A1

    公开(公告)日:2023-01-05

    申请号:US17931272

    申请日:2022-09-12

    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.

    PARTITIONING METHOD, ENCODER, DECODER AND COMPUTER STORAGE MEDIUM

    公开(公告)号:US20220343550A1

    公开(公告)日:2022-10-27

    申请号:US17810509

    申请日:2022-07-01

    Abstract: Disclosed are a partitioning method, an encoder, a decoder and a computer storage medium. The method includes: determining location information of a point of a point cloud to be partitioned; when i is less than or equal to M−1, determining right-shift number Ni of ith LOD layer in the point cloud, M representing a preset maximum quantity of layers for LOD partitioning; for the ith LOD layer, shifting location information of the point rightwards by Ni-digit, performing storing in a preset storage area based on right-shifted location information; determining location information of a parent point corresponding to a current point in the ith LOD layer; according to determined location information of the parent point, searching the preset storage area for a neighbor point of the parent point; partitioning the current point into an (i+1)th LOD layer, or the neighbor point into the ith LOD layer.

    PREDICTION DECODING METHOD AND APPARATUS

    公开(公告)号:US20220256179A1

    公开(公告)日:2022-08-11

    申请号:US17660874

    申请日:2022-04-27

    Abstract: A prediction decoding method, a prediction decoding apparatus, and a non-transitory computer storage medium are provided. The method includes the following. First multiple neighbouring reference samples of a coding block are determined, where the first multiple neighbouring reference samples include reference samples in a reference row or a reference column neighbouring the coding block. Positions corresponding to K reference samples are determined from a starting position of the reference row or the reference column, where K is a positive integer. Second multiple neighbouring reference samples are determined according to the determined positions corresponding to the K reference samples, where the second multiple neighbouring reference samples include neighbouring reference samples among the first multiple neighbouring reference samples. Prediction decoding is performed on the coding block according to the second multiple neighbouring reference samples.

    POINT CLOUD ENCODING AND DECODING METHOD, AND DECODER

    公开(公告)号:US20240282009A1

    公开(公告)日:2024-08-22

    申请号:US18649740

    申请日:2024-04-29

    CPC classification number: G06T9/00 G06T2210/36 G06T2210/56

    Abstract: Disclosed are a point cloud encoding and decoding method, and a decoder. The method includes: acquiring geometric information and attribute information of an input point cloud; determining a maximum allowable value of a sampling period when the input point cloud is subjected to level-of-detail (LOD) division; determining a preset value of the sampling period on the basis of the maximum allowable value of the sampling period; processing the input point cloud according to the preset value of the sampling period and the geometric information, so as to obtain at least one refinement layer and at least one detail layer; and encoding the attribute information by using the at least one refinement layer and the at least one detail layer, so as to generate a code stream, and writing the preset value of the sampling period into the code stream.

    PREDICTION DECODING METHOD AND APPARATUS
    7.
    发明公开

    公开(公告)号:US20240137544A1

    公开(公告)日:2024-04-25

    申请号:US18401806

    申请日:2024-01-02

    Abstract: A prediction decoding method, a prediction decoding apparatus, and a non-transitory computer storage medium are provided. The method includes the following. First multiple neighbouring reference samples of a coding block are determined, where the first multiple neighbouring reference samples include reference samples in a reference row or a reference column neighbouring the coding block. Positions corresponding to K reference samples are determined from a starting position of the reference row or the reference column, where K is a positive integer. Second multiple neighbouring reference samples are determined according to the determined positions corresponding to the K reference samples, where the second multiple neighbouring reference samples include neighbouring reference samples among the first multiple neighbouring reference samples. Prediction decoding is performed on the coding block according to the second multiple neighbouring reference samples.

    PREDICTION DECODING METHOD AND APPARATUS

    公开(公告)号:US20220256180A1

    公开(公告)日:2022-08-11

    申请号:US17660970

    申请日:2022-04-27

    Abstract: A prediction decoding method, a prediction decoding apparatus, and a non-transitory computer storage medium are provided. The method includes the following. First multiple neighbouring reference samples of a coding block are determined, where the first multiple neighbouring reference samples include reference samples in a reference row or a reference column neighbouring the coding block. Positions corresponding to K reference samples are determined from a starting position of the reference row or the reference column, where K is a positive integer. Second multiple neighbouring reference samples are determined according to the determined positions corresponding to the K reference samples, where the second multiple neighbouring reference samples include neighbouring reference samples among the first multiple neighbouring reference samples. Prediction decoding is performed on the coding block according to the second multiple neighbouring reference samples.

    OCCUPANCY INFORMATION PREDICTION METHOD, ENCODER, DECODER, AND STORAGE MEDIUM

    公开(公告)号:US20220247427A1

    公开(公告)日:2022-08-04

    申请号:US17655345

    申请日:2022-03-17

    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.

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