DECOUPLED MODE INFERENCE AND PREDICTION
    31.
    发明公开

    公开(公告)号:US20240007665A1

    公开(公告)日:2024-01-04

    申请号:US18368247

    申请日:2023-09-14

    CPC classification number: H04N19/52 H04N19/184 H04N19/176

    Abstract: A method of predicting or inferring a piece of information for encoding or decoding uses a predictor from a spatial neighbor, or from a reference picture, instead of predicting or inferring the information, such as a flag for a current block, from a motion predictor block. This procedure can be used in several ways, or used in various motion vector prediction modes, such as Frame Rate Up Conversion or various variations of Advanced Motion Prediction. Other embodiments provide other methods and combinations to derive or infer motion information to increase coding efficiency.

    Decoupled mode inference and prediction

    公开(公告)号:US11805271B2

    公开(公告)日:2023-10-31

    申请号:US16652813

    申请日:2018-10-04

    CPC classification number: H04N19/52 H04N19/176 H04N19/184

    Abstract: A method of predicting or inferring a piece of information for encoding or decoding uses a predictor from a spatial neighbor, or from a reference picture, instead of predicting or inferring the information, such as a flag for a current block, from a motion predictor block. This procedure can be used in several ways, or used in various motion vector prediction modes, such as Frame Rate Up Conversion or various variations of Advanced Motion Prediction. Other embodiments provide other methods and combinations to derive or infer motion information to increase coding efficiency.

    Method and apparatus for low-complexity bi-directional intra predication in video encoding and decoding

    公开(公告)号:US11381811B2

    公开(公告)日:2022-07-05

    申请号:US16649620

    申请日:2018-11-20

    Abstract: At least one of the present embodiments generally relates to a method and an apparatus for video encoding and decoding, and more particularly, to a method and an apparatus for low-complexity bi-directional intra prediction. For example, a subset of a plurality of directional intra prediction modes is selected based on a shape of a current block of a picture being encoded or decoded. For a selected intra prediction mode in this subset, a sample value is bi-directionally intra predicted by using two predictors. The two predictors are substantially on a line based on a direction corresponding to the selected directional intra prediction mode. The bi-directional intra prediction may be only applied to large luma blocks, but not chroma blocks in order to reduce the computational complexity. When bi-directional intra prediction is used, the smoothing filtering may be omitted in intra prediction to further reduce the complexity.

    METHOD AND APPARATUS FOR INTRA PREDICTION USING A COMPOSITE REFERENCE ARRAY

    公开(公告)号:US20210377516A1

    公开(公告)日:2021-12-02

    申请号:US16979830

    申请日:2019-04-08

    Abstract: Methods and apparatus for intra prediction in video encoding and decoding using a composite reference array are described. In one exemplary embodiment, the composite reference array is formed from two or more reference arrays of a plurality of reference arrays. The composite reference array can be formed by projecting along a prediction direction, one or more of the plurality of reference arrays onto a reference array closest to the block of the video data being encoded or decoded. The filter coefficients for the interpolation filter are then determined based on the locations of the predictors on different reference arrays. Interpolating reference samples from different reference arrays, the predictor value for a target sample can be obtained.

    GRADIENT BASED BOUNDARY FILTERING IN INTRA PREDICTION

    公开(公告)号:US20200351506A1

    公开(公告)日:2020-11-05

    申请号:US16957082

    申请日:2019-02-25

    Abstract: After initial intra prediction based on projection along an intra prediction direction, there may exist discontinuities between the predicted block and neighboring blocks. To smooth the block boundary, boundary filtering may be used with intra prediction. In particular, different methods may be used for boundary filtering. The particular filtering method to be used may be selected adaptively based on the intra prediction mode. When gradient-based filtering is selected, the gradient at a reference sample, that is at the same row or column as the current sample, in a reference layer is calculated as the difference between the reference sample and the predicted value for the reference sample using the intra prediction mode. Additional gradient at another reference sample from another reference layer may also be used. Then the initially predicted value for the sample may be adjusted based on the gradient(s) and a decay function.

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