VIDEO CODING USING OPTICAL FLOW AND RESIDUAL PREDICTORS

    公开(公告)号:US20240015318A1

    公开(公告)日:2024-01-11

    申请号:US17862217

    申请日:2022-07-11

    CPC classification number: H04N19/52 H04N19/137 H04N19/105 H04N19/172

    Abstract: Systems and techniques are provided for coding video data based on an optical flow correction and a residual correction. For example, a decoding device can obtain a frame of encoded video data associated with an input frame, the frame of encoded video data including an optical flow correction and a residual correction. A predicted optical flow can be generated based on one or more reference frames and a reference optical flow. A corrected prediction frame can be generated based on the predicted optical flow and the optical flow correction. A predicted residual can be generated based on at least the corrected prediction frame and a first reference frame included in the one or more reference frames. The decoding device can generate a reconstructed input frame based on the corrected prediction frame, the predicted residual, and the residual correction.

    FLOW-AGNOSTIC NEURAL VIDEO COMPRESSION
    5.
    发明公开

    公开(公告)号:US20230169694A1

    公开(公告)日:2023-06-01

    申请号:US17975471

    申请日:2022-10-27

    CPC classification number: G06T9/002

    Abstract: A processor-implemented method for video compression using an artificial neural network (ANN) includes receiving a video via the ANN. The ANN extracts a first set of features of a current frame of the video and a second set of features of a reference frame of the video. The ANN determines an estimate of correlation features between the first set of features of the current frame and the second set of features of the reference frame. The estimate of the correlation features are encoded and transmitted to a receiver.

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