Inter prediction with refinement in video processing

    公开(公告)号:US11064206B2

    公开(公告)日:2021-07-13

    申请号:US16998406

    申请日:2020-08-20

    Abstract: Devices, systems and methods for digital video coding, which includes inter prediction with refinement, are described. An exemplary method of video processing includes determining to use, for a conversion between a current block of a video and a bitstream representation of the video, a first linear optimization model for the conversion using a first coding mode, the first linear optimization model being derived from a second linear optimization model that is used for the conversion using a second coding mode, and performing, based on the determining, the conversion. Another exemplary method of video processing includes determining to use, for a conversion between a current block of a video and a bitstream representation of the video, a gradient value computation algorithm for a bi-directional optical flow tool, and performing, based on the determining, the conversion.

    Context-based intra prediction
    225.
    发明授权

    公开(公告)号:US11057642B2

    公开(公告)日:2021-07-06

    申请号:US16987670

    申请日:2020-08-07

    Abstract: A method for video processing is provided. The method includes performing downsampling on chroma and luma samples of a neighboring block of the current video block; determining, for a conversion between a current video block of a video that is a chroma block and a coded representation of the video, parameters of cross-component linear model (CCLM) based on the downsampled chroma and luma samples obtained from the downsampling; applying the CCLM on luma samples located in a luma block corresponding to the current video block to derive prediction values of the current video block; and performing the conversion based on the prediction values.

    Interaction between IBC and ATMVP
    227.
    发明授权

    公开(公告)号:US11051031B2

    公开(公告)日:2021-06-29

    申请号:US17011131

    申请日:2020-09-03

    Abstract: Devices, systems and methods for applying intra-block copy (IBC) in video coding are described. In general, methods for integrating IBC with existing motion compensation algorithms for video encoding and decoding are described. In a representative aspect, a method for video encoding using IBC includes determining whether a current block of the current picture is to be encoded using a motion compensation algorithm, and encoding, based on the determining, the current block by selectively applying an intra-block copy to the current block. In a representative aspect, another method for video encoding using IBC includes determining whether a current block of the current picture is to be encoded using an intra-block copy, and encoding, based on the determining, the current block by selectively applying a motion compensation algorithm to the current block.

    CLIPPING OF UPDATED MV OR DERIVED MV

    公开(公告)号:US20210067783A1

    公开(公告)日:2021-03-04

    申请号:US17098962

    申请日:2020-11-16

    Abstract: Devices, systems and methods for digital video coding, which includes motion prediction based on updated motion vectors generated using two-step inter-prediction, are described. Methods for clipping of updated MV or derived MV are described. An exemplary method for video coding includes: determining original motion information for a current block; updating original motion vectors of the original motion information for the current block based on a refining method; clipping the updated motion vectors to be within a range; and performing a conversion between the current block and a bitstream representation of a video including the current block, based on the clipped updated motion vectors.

    NEURAL NETWORK-BASED ADAPTIVE IMAGE AND VIDEO COMPRESSION METHOD

    公开(公告)号:US20250168370A1

    公开(公告)日:2025-05-22

    申请号:US19033178

    申请日:2025-01-21

    Applicant: Bytedance Inc.

    Abstract: An image decoding method including transforming an input image into latent samples using an analysis transform; quantizing the latent samples using a hyper encoder to generate quantized hyper latent samples; encoding the quantized hyper latent samples into a bitstream using entropy encoding; applying a latent sample prediction process to obtain quantized latent samples and quantized residual latent samples based on the latent samples using the quantized hyper latent samples; obtaining prediction samples following the latent sample prediction process; and entropy encoding the quantized hyper latent samples and the quantized residual latent samples into the bitstream.

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