Neural Network-Based Post Filter For Video Coding

    公开(公告)号:US20220329837A1

    公开(公告)日:2022-10-13

    申请号:US17714024

    申请日:2022-04-05

    Applicant: Lemon Inc.

    Abstract: A method of processing video data. The method includes determining that a supplemental enhancement information (SEI) message of a bitstream includes indicators specifying one or more neural network (NN) filter model candidates or selections for a video unit or samples within the video unit, and converting between a video media file comprising the video unit and the bitstream based on the indicators. A corresponding video coding apparatus and non-transitory computer readable medium are also disclosed.

    Methods and systems for motion candidate derivation

    公开(公告)号:US11936899B2

    公开(公告)日:2024-03-19

    申请号:US17200631

    申请日:2021-03-12

    Applicant: Lemon Inc.

    Abstract: Embodiments of the present disclosure provide methods, apparatuses and computer storage media for video processing. One example method comprises determining, during a conversion between a current video block of a video and a bitstream of the video, at least one set of motion candidates for the current video block, each motion candidate comprising predicted motion information determined from neighboring video blocks of the current video block; determining, based on a template of the current video block and from the at least one set of motion candidates, a target motion candidate for the current video block by using a template matching cost rule; and performing the conversion based on the target motion candidate.

    Motion candidate derivation
    29.
    发明授权

    公开(公告)号:US11671616B2

    公开(公告)日:2023-06-06

    申请号:US17200628

    申请日:2021-03-12

    Applicant: Lemon Inc.

    Abstract: Embodiments of the present disclosure provide methods, apparatuses and computer storage media for video processing. One example method comprises determining, during a conversion between a current video block of a video and a bitstream of the video, a set of motion candidates for the current video block; determining, for each motion candidate in the set of motion candidates, a refined motion candidate by performing a local search around the each motion candidate based on a template matching cost rule; determining, from a set of refined motion candidates generated for the set of motion candidates, a target motion candidate for the current video block; and performing the conversion based on the target motion candidate.

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