METHOD AND APPARATUS FOR ENCODING OR DECODING A PICTURE USING A NEURAL NETWORK COMPRISING SUB-NETWORKS

    公开(公告)号:US20240013446A1

    公开(公告)日:2024-01-11

    申请号:US18338105

    申请日:2023-06-20

    CPC classification number: G06T9/002 G06T3/4046

    Abstract: A method for encoding a picture and decoding a bitstream that represents a picture using a neural network (NN) that comprises a plurality of sub-networks is provided. The method includes applying, before processing an input with the at least one sub-network comprising at least two downsampling layers, a rescaling to the input, wherein the rescaling comprises changing the size S1 in the at least one dimension to be S1 so that S1 is an integer multiple of a combined downsampling ratio Rk of the at least one sub-network, after the rescaling, processing the input by the at least one sub-network comprising at least two downsampling layers and providing an output with the size S2, wherein S2 is smaller than S1, and providing, after processing the picture using the NN, a bitstream as output.

    Boundary block partitioning in video coding

    公开(公告)号:US11750810B2

    公开(公告)日:2023-09-05

    申请号:US17876317

    申请日:2022-07-28

    CPC classification number: H04N19/119 H04N19/176 H04N19/192 H04N19/96

    Abstract: A partitioning method comprises determining whether a current block of a picture is a boundary block and whether the size of the current block is larger than a minimum allowed quadtree leaf node size; and if the current block is the boundary block and the size of the current block is not larger than the minimum allowed quadtree leaf node size (MinQTSize), applying forced binary tree (BT) partitioning to the current block. A method comprises making a determination that a current block of a picture is a boundary block and that a size of the current block is less than or equal to a minimum allowed quadtree (QT) leaf node size (MinQTSize); and applying, in response to the determination, forced binary tree (BT) partitioning to the current block.

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