EFFICIENT MERGE CANDIDATE RANKING AND SELECTION IN VIDEO ENCODING

    公开(公告)号:US20240406380A1

    公开(公告)日:2024-12-05

    申请号:US18798562

    申请日:2024-08-08

    Abstract: A block of a video frame can be encoded using inter-prediction, and the motion vector of the block can be encoded based on a motion vector reference of a merge candidate. Some video codecs allow a large range of temporal and spatial neighbors to be considered as potential merge candidates. It is not practical to perform motion compensation and rate-distortion optimization for all possible merge candidates. To address this concern, a hardware-efficient process can be implemented to rank and select merge candidates. A reference frame priority list is applied to select a subset of potential reference frame combinations. An efficient top-K sorting algorithm is applied to identify merge candidates for each reference frame combination and keep top merge candidates with highest weights. Motion compensation and rate-distortion optimization are performed on the top merge candidates only.

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