Virtual temporal affine candidates
    83.
    发明授权

    公开(公告)号:US11750836B2

    公开(公告)日:2023-09-05

    申请号:US17275351

    申请日:2019-09-12

    CPC classification number: H04N19/52 H04N19/105 H04N19/139 H04N19/176 H04N19/46

    Abstract: Methods and apparatus for creating additional affine candidates. Virtual and temporal candidates are determined using neighboring spatial and temporal sub-blocks. The sub-blocks are examined in an order known to both an encoder and a decoder. Valid sub-blocks are used to compute an affine model. The candidates can be filtered and added to a candidate list conditionally based on various criteria. The candidates can be used to determine control point motion vectors and a motion flow field can be determined. Motion vectors for sub-blocks within a video coding block can be determined. Motion compensation can be performed using the improved affine candidates and encoding/decoding based on the improved affine motion compensation.

    Method and apparatus for combined intra prediction modes

    公开(公告)号:US11477436B2

    公开(公告)日:2022-10-18

    申请号:US17049724

    申请日:2019-04-03

    Abstract: Encoders and decoders of digital video signals use combined intra prediction modes for some images. In at least one embodiment, combined intra prediction modes can result from the intra prediction modes of neighboring blocks. The combined intra prediction mode can be added to a most probable modes list. Various embodiments describe techniques for combining the intra prediction modes, comprising a combination of reference samples and a combination of directions to form a prediction. Another embodiment adds a combination mode to the most probable modes list if the two modes that are combined to form it are directional modes with angle difference less than 90 degrees. Another embodiment uses a linear combination of intra prediction modes and another embodiment performs a linear combination which depends on the distance of a prediction from the left and above blocs.

    Texture-based partitioning decisions for video compression

    公开(公告)号:US11412220B2

    公开(公告)日:2022-08-09

    申请号:US16771094

    申请日:2018-12-12

    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.

    DATA DEPENDENCY IN CODING/DECODING
    89.
    发明申请

    公开(公告)号:US20220174306A1

    公开(公告)日:2022-06-02

    申请号:US17548197

    申请日:2021-12-10

    Abstract: A decoding method is disclosed. A flag is first decoded. The flag indicates whether a current block of a picture is decoded with a tool of a set of tools. The set of tools comprises tools using reconstructed samples of neighboring blocks decoded prior to the current block or using a block of the picture larger than a hardware unit. The flag is only decoded in the case where the current block has a parent hardware unit. A current block is then decoded responsive to the flag.

    Method and apparatus for encoding and decoding motion information

    公开(公告)号:US11212532B2

    公开(公告)日:2021-12-28

    申请号:US16475331

    申请日:2017-12-26

    Abstract: A Frame Rate Up-Conversion (FRUC) derivation process, based on frame rate up-conversion techniques, is developed in the reference software JEM (Joint Exploration Model) by the Joint Video Exploration Team (JVET). In one embodiment, a modified FRUC derivation process improves the performances of the current FRUC tool is provided. For example, some candidates of a bi-predictive pair may be discarded initially, which would save signification processing time. The discarding decision may depend on various criteria such as, e.g., a ratio between matching costs of a bi-predictive pair from two reference picture lists, a difference between the matching costs of a bi-predictive pair normalized by their respective template areas.

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