Spatially Varying Transform with Adaptive Transform Type

    公开(公告)号:US20220116638A1

    公开(公告)日:2022-04-14

    申请号:US17561049

    申请日:2021-12-23

    Abstract: A video decoding method includes determining a usage of an SVT-vertical (V) or an SVT-horizontal (H) for a residual block; determining a transform block position of a transform block of the residual block; determining a transform type of the transform block, wherein the transform type indicates a horizontal transform and a vertical transform for the transform block, wherein at least one of the horizontal transform or the vertical transform is a discrete sine transform (DST)-7; and reconstructing the residual block based on the transform type, the transform block position, and transform coefficients of the transform block.

    Picture data encoding method and apparatus and picture data decoding method and apparatus

    公开(公告)号:US11277648B2

    公开(公告)日:2022-03-15

    申请号:US16949362

    申请日:2020-10-27

    Abstract: Embodiments of this application disclose a decoding method includes: obtaining a bitstream including picture data; parsing the bitstream to obtain node split mode information of a first-level coding tree and node split mode information of a second-level coding tree, if the split mode corresponding to the first node is no further splitting, parsing the bitstream to obtain encoding information of the first node; and decoding and reconstructing, based on the encoding information of the first node, a coding unit corresponding to the first node, to obtain a picture corresponding to the picture data.

    Motion model signaling
    163.
    发明授权

    公开(公告)号:US11277629B2

    公开(公告)日:2022-03-15

    申请号:US17150963

    申请日:2021-01-15

    Abstract: A method of determining one or more candidate prediction modes, the method comprises deriving, by a processor, a first indicator by parsing a bitstream, wherein the first indicator specifies whether any affine model is a candidate motion model for an image block in a preset area; determining, by the processor, that the first indicator is set to 1; deriving, by the processor and based on the determination that the first indicator is set to 1, a second indicator by parsing the bitstream, wherein the second indicator specifies whether a 6-parameter affine model is a candidate motion model for the image block; and determining, by the processor, one or more candidate prediction modes for the image block based on the first indicator and the second indicator.

    Adaptive Interpolation Filter
    164.
    发明申请

    公开(公告)号:US20220070488A1

    公开(公告)日:2022-03-03

    申请号:US17472235

    申请日:2021-09-10

    Abstract: Disclosed is a mechanism for selecting an interpolation filter for use in conjunction with an affine block in video coding. A motion vector is determined for a sub-block of the affine block based on control points. A sub-block size of the sub-block is also determined. The interpolation filter is selected for application to a reference block corresponding to the sub-block. The interpolation filter is selected based on the sub-block size. The motion vector of the sub-block and an offset of a current sample of the sub-block are employed to determine a reference sample at the reference block. This includes applying the interpolation filter to the reference block to determine the reference sample when the motion vector at the offset points to a fractional position at the reference block. The reference samples are employed to determine residual information in order to encode the affine block.

    Image processing method, device, and system

    公开(公告)号:US11259031B2

    公开(公告)日:2022-02-22

    申请号:US16752259

    申请日:2020-01-24

    Abstract: An image processing method and device include parsing a code stream to obtain a first quantization parameter of a current image area in an original resolution coding scheme, a second quantization parameter of the current image area in a downsampling coding scheme, a coding scheme of a current image block in the current image area, a quantization coefficient of the current image block, and a prediction signal of the current image block, determining a quantization parameter of the current image block according to the coding scheme, and reconstructing the current image block based on the quantization parameter, the quantization coefficient, and the prediction signal to obtain a current reconstructed image block.

    Inter Prediction Method and Related Apparatus

    公开(公告)号:US20220007046A1

    公开(公告)日:2022-01-06

    申请号:US17473517

    申请日:2021-09-13

    Abstract: Disclosed are an inter prediction method based on an affine prediction mode and a related apparatus. The method includes: obtaining a predicted pixel value of a current affine block; obtaining an LIC flag of the current affine block, where the LIC flag is used to indicate whether local illumination compensation LIC is applied to the current affine block; and when the LIC flag indicates that LIC is applied to the current affine block, updating the predicted pixel value of the current affine block based on an update coefficient for LIC, to obtain an updated predicted pixel value of the current affine block.

    Picture Prediction Method and Apparatus

    公开(公告)号:US20210250581A1

    公开(公告)日:2021-08-12

    申请号:US17240508

    申请日:2021-04-26

    Abstract: A picture prediction method includes receiving a bitstream, parsing the bitstream to obtain a prediction mode of a current block, when the prediction mode of the current block is a combined intra and inter prediction mode, selecting an execution manner of a triangular prediction unit mode according to a preset policy, determining motion information of the current block according to the execution manner of the triangular prediction unit mode, performing a motion compensation process based on the motion information, to obtain an inter prediction sample, obtaining an intra prediction sample according to the prediction mode of the current block, and combining the inter prediction sample and the intra prediction sample to obtain a prediction picture of the current block.

    Chroma prediction method and device
    168.
    发明授权

    公开(公告)号:US11082709B2

    公开(公告)日:2021-08-03

    申请号:US16744987

    申请日:2020-01-16

    Abstract: A chroma prediction method includes: obtaining luma information and chroma information of a to-be-processed image block, first processing information, and second processing information, where the first processing information indicates a downsampling processing manner used for a luma component of the to-be-processed image block, and the second processing information indicates a downsampling processing manner used for a chroma component of the to-be-processed image block; reconstructing a transient luma block of the to-be-processed image block based on the luma information of the to-be-processed image block, where a resolution of the transient luma block is determined by using a sampling format of the to-be-processed image block and the first processing information; and obtaining a prediction block of a transient chroma block of the to-be-processed image block based on the resolution of the transient luma block, the sampling format of the to-be-processed image block, and the second processing information.

    Motion Model Signaling
    170.
    发明申请

    公开(公告)号:US20210168391A1

    公开(公告)日:2021-06-03

    申请号:US17150963

    申请日:2021-01-15

    Abstract: A method of determining one or more candidate prediction modes, the method comprises deriving, by a processor, a first indicator by parsing a bitstream, wherein the first indicator specifies whether any affine model is a candidate motion model for an image block in a preset area; determining, by the processor, that the first indicator is set to 1; deriving, by the processor and based on the determination that the first indicator is set to 1, a second indicator by parsing the bitstream, wherein the second indicator specifies whether a 6-parameter affine model is a candidate motion model for the image block; and determining, by the processor, one or more candidate prediction modes for the image block based on the first indicator and the second indicator.

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