VECTOR DIFFERENCE CANDIDATE LIST CONSTRUCTION
    101.
    发明公开

    公开(公告)号:US20240223769A1

    公开(公告)日:2024-07-04

    申请号:US18540046

    申请日:2023-12-14

    CPC classification number: H04N19/137 H04N19/105 H04N19/176

    Abstract: A method of decoding video data includes determining a vector predictor for a current block; determining a first set of vector difference candidates based on a first pel-interval, the first pel-interval defining a first distance between consecutive vector difference candidates in the first set of vector difference candidates starting with the vector predictor; determining a second set of vector difference candidates based on the first set of vector difference candidates and a second pel-interval, the second pel-interval defining a second distance between consecutive vector difference candidates in the second set of vector difference candidates; constructing a vector difference candidate list based on the second set of vector difference candidates; determining a vector for the current block based on the vector predictor and a vector difference from the vector difference candidate list; and reconstructing the current block based on the vector for the current block.

    REGRESSION-BASED DECODER SIDE AFFINE MOTION DERIVATION FOR VIDEO CODING

    公开(公告)号:US20240129481A1

    公开(公告)日:2024-04-18

    申请号:US18471131

    申请日:2023-09-20

    CPC classification number: H04N19/139 H04N19/176

    Abstract: A video coder may be configured to partition a coding block into subblocks, and generate initial subblock motion vectors for a plurality of the subblocks. The video coder may further refine the initial subblock motion vectors for the plurality of the subblocks using decoder side motion vector refinement to produce refined subblock motion vectors for the plurality of the subblocks, and perform a linear regression on the refined subblock motion vectors and coordinates of the plurality of the subblocks to derive an affine motion model. The video coder may then code the coding block using the derived affine motion model.

    METHODS FOR ADAPTIVE SIGNALING OF MAXIMUM NUMBER OF MERGE CANDIDATES IN MULTIPLE HYPOTHESIS PREDICTION

    公开(公告)号:US20230336713A1

    公开(公告)日:2023-10-19

    申请号:US18175988

    申请日:2023-02-28

    CPC classification number: H04N19/105 H04N19/70

    Abstract: Example techniques and devices are disclosed for coding video data. An example device includes memory configured to store the video data and one or more processors implemented in circuitry and communicatively coupled to the memory. The one or more processors are configured to determine that multiple-hypothesis prediction (MHP) is enabled. The one or more processors are configured to, based on determining that MHP is enabled, determine a maximum number of merge candidates for a MHP merge candidate list. The one or more processors are configured to, based on the maximum number of merge candidates for the MHP merge candidate list, determine the MHP merge candidate list. The one or more processors are configured to code the video data based on the MHP merge candidate list.

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