Encoding and decoding methods and apparatus

    公开(公告)号:US12301871B2

    公开(公告)日:2025-05-13

    申请号:US17786211

    申请日:2020-11-30

    Abstract: A method for decoding or encoding includes obtaining views parameters for a set of views comprising at least one reference view and a current view of a multi-views video content wherein each view comprises a texture layer and a depth layer. For at least one couple of a reference view and the current view of the set of views, an intermediate prediction image applying a forward projection method to pixels of the reference view is generated to project these pixels from a camera coordinates system of the reference view to a camera coordinates system of the current view, the prediction image comprising information allowing reconstructing image data. At least one final prediction image obtained from at least one intermediate prediction image is stored in a buffer of reconstructed images of the current view. A current image of the current view from the images stored in said buffer is reconstructed, said buffer comprising said at least one final prediction image.

    TEXTURE-BASED PARTITIONING DECISIONS FOR VIDEO COMPRESSION

    公开(公告)号:US20250039372A1

    公开(公告)日:2025-01-30

    申请号:US18908728

    申请日:2024-10-07

    Abstract: A block of video data is split using one or more of several possible partition operations by using the partitioning choices obtained through use of a texture-based image partitioning. In at least one embodiment, the block is split in one or more splitting operations using a convolutional neural network. In another embodiment, inputs to the convolutional neural network come from pixels along the block's causal borders. In another embodiment, boundary information, such as the location of partitions in spatially neighboring blocks, is used by the texture analysis. Methods, apparatus, and signal embodiments are provided for encoding.

    Texture-based partitioning decisions for video compression

    公开(公告)号:US12155827B2

    公开(公告)日:2024-11-26

    申请号:US17860038

    申请日:2022-07-07

    Abstract: A block of video data is split using one or more of several possible partition operations by using the partitioning choices obtained through use of a texture-based image partitioning. In at least one embodiment, the block is split in one or more splitting operations using a convolutional neural network. In another embodiment, inputs to the convolutional neural network come from pixels along the block's causal borders. In another embodiment, boundary information, such as the location of partitions in spatially neighboring blocks, is used by the texture analysis. Methods, apparatus, and signal embodiments are provided for encoding.

    Methods and apparatus for picture encoding and decoding

    公开(公告)号:US11917146B2

    公开(公告)日:2024-02-27

    申请号:US16498392

    申请日:2018-03-13

    CPC classification number: H04N19/119 H04N19/167 H04N19/176

    Abstract: A decoding method is disclosed that comprises: determining whether a current block of a picture extends beyond a boundary of the picture; determining for each split mode of a plurality of split modes whether said current block is allowed to undergo splitting according to said split mode by checking whether at least one of the split line is co-located with one of the picture border or whether the size of the block part inside the picture along the picture boundary is a multiple of a minimum block size; decoding from a bitstream a current split mode of the current block responsive to the allowed split modes; and decoding the current block according to the current split mode.

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