Triangulation-Based Adaptive Subsampling of Dense Motion Vector Fields

    公开(公告)号:US20230050102A1

    公开(公告)日:2023-02-16

    申请号:US17976666

    申请日:2022-10-28

    Abstract: The present disclosure relates to an apparatus and a method for providing a plurality of motion vectors related to an image coded in a bitstream, comprising obtaining a set of sample positions within the image, obtaining respective motion vectors associated with the set of sample positions, deriving an additional motion vector based on information coded in the bitstream, determining an additional sample position located within a triangle, which is formed by three sample positions of the set of sample positions, based on the respective motion vectors associated with the three sample positions, the triangle not including any other sample position of the set, adding the additional sample position to the set of sample positions, and associating the derived additional motion vector with the additional sample position. Such method and apparatus provide for an efficient motion flow compression and reconstruction enabling to recover some sample positions without signaling them in the bitstream.

    Encoder, a decoder and corresponding methods using an adaptive loop filter

    公开(公告)号:US11523111B2

    公开(公告)日:2022-12-06

    申请号:US17356047

    申请日:2021-06-23

    Abstract: A method of filtering a sample value of a picture is provided, with an integer t that is less than k and with an integer j in the range of 1 to m: generating, with an integer i in the range of 1 to k−t−1, a filtered sample value by applying a filter to the value of the sample p(i,j), wherein the filter is supported by a set of filter support samples, the set of filter support samples does not comprise any samples p(i′,j′) with row index i′ greater than k−t−1, and/or generating, with an integer i in the range of k−t to k, a filtered sample value by applying a filter to the value of the sample p(i,j), the filter is supported by a set of filter support samples, wherein the set of filter support samples does not comprise any samples p(i′,j′) with row index i′ less than k−t.

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