CANDIDATE REORDERING AND MOTION VECTOR REFINEMENT FOR GEOMETRIC PARTITIONING MODE

    公开(公告)号:US20250150600A1

    公开(公告)日:2025-05-08

    申请号:US18684236

    申请日:2022-08-15

    Applicant: MEDIATEK INC.

    Abstract: A method that reorders partitioning candidates or motion vectors based on template matching costs for geometric prediction mode (GPM) is provided. A video coder receives data to be encoded or decoded as a current block of a current picture of a video. The current block is partitioned into first and second partitions by a bisecting line defined by an angle-distance pair. The video coder identifies a list of candidate prediction modes for coding the first and second partitions. The video coder computes a template matching (TM) cost for each candidate prediction mode in the list. The video coder receives or signals a selection of a candidate prediction mode based on an index that is assigned to the selected candidate prediction mode based on the computed TM costs. The video coder reconstructs the current block by using the selected candidate prediction mode to predict the first and second partitions.

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