Feature Data Encoding and Decoding Method and Apparatus

    公开(公告)号:US20240105193A1

    公开(公告)日:2024-03-28

    申请号:US18526406

    申请日:2023-12-01

    CPC classification number: G10L19/08

    Abstract: This application provides picture or audio encoding and decoding methods and apparatuses, and relates to the field of artificial intelligence (AI)—based picture or audio encoding and decoding technologies, and specifically, to the field of neural network-based picture feature map or audio feature variable encoding and decoding technologies. The encoding method includes: obtaining a to-be-encoded target, where the to-be-encoded target includes a plurality of feature elements, and the plurality of feature elements include a first feature element. The method further includes: obtaining a probability estimation result of the first feature element; determining, based on the probability estimation result of the first feature element, whether to perform entropy encoding on the first feature element; and performing entropy encoding on the first feature element only when it is determined that entropy encoding needs to be performed on the first feature element.

    Motion vector prediction method and device

    公开(公告)号:US11202077B2

    公开(公告)日:2021-12-14

    申请号:US16711718

    申请日:2019-12-12

    Inventor: Jue Mao Lu Yu Yin Zhao

    Abstract: A motion vector prediction method and device, includes determining a motion vector type of the motion vector of the current block based on a reference frame type of the reference frame, obtaining a motion vector type of a first motion vector of at least one spatially adjacent prediction block of the current block when the at least one spatially adjacent prediction block is an inter-frame prediction block, and when the obtained motion vector type of the first motion vector is different from all motion vector types of motion vectors of the current block, determining a second motion vector of a spatially adjacent pixel block of the current block based on decoding information of the spatially adjacent pixel block, and using the second motion vector or a scaling value of the second motion vector as a candidate motion vector predictor of the current block.

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