METHOD AND APPARATUS FOR PERFORMING LOW-COMPLEXITY OPERATION OF TRANSFORM KERNEL FOR VIDEO COMPRESSION

    公开(公告)号:US20210021871A1

    公开(公告)日:2021-01-21

    申请号:US17042722

    申请日:2019-05-01

    Abstract: The present disclosure provides a method for reconstructing a video signal based on low-complexity transform implementation including obtaining a transform index of a current block from the video signal, wherein the transform index corresponds to any one of a plurality of transform combinations including a combination of DST4 and/or DCT4; deriving a transform combination corresponding to the transform index, wherein the transform combination includes a horizontal transform and a vertical transform, and wherein the horizontal transform and the vertical transform correspond to at least one of the DST4 or the DCT4; performing an inverse transform in a vertical direction with respect to the current block by using the DST4; performing an inverse transform in a horizontal direction with respect to the current block by using the DCT4; and reconstructing the video signal by using the current block which the inverse transform is performed.

    METHOD AND APPARATUS FOR PROCESSING VIDEO SIGNAL BY MEANS OF AFFINE PREDICTION

    公开(公告)号:US20190335170A1

    公开(公告)日:2019-10-31

    申请号:US16475306

    申请日:2018-01-03

    Abstract: The present invention provides a method of decoding a video signal comprising a current block using an affine mode, including parsing a skip flag or a merge flag from the video signal, identifying whether the sample number or size of the current block satisfies a preset condition if a skip mode or a merge mode is applied based on the skip flag or merge flag, parsing an affine flag if the condition is satisfied, wherein the affine flag indicates whether an affine prediction mode is applied, and the affine prediction mode indicates a mode deriving a motion vector in a pixel or subblock unit using a control point motion vector, and determining an affine merge mode as an optimal prediction mode if the affine prediction mode is applied based on the affine flag.

    IMAGE CODING METHOD BASED ON TRANSFORM, AND DEVICE FOR SAME

    公开(公告)号:US20250150627A1

    公开(公告)日:2025-05-08

    申请号:US19015534

    申请日:2025-01-09

    Abstract: An image decoding method according to the present document may include the steps of: deriving the position of the final significant coefficient in the current block and transform coefficients for the current block on the basis of residual information; determining whether the index of a sub—block including the final significant coefficient is 0 and whether the position of the final significant coefficient in the sub-block is greater than 0; determining whether a significant coefficient exists in a second area excluding a first area at the upper left end of the current block; and parsing an LFNST index from a bitstream when the position of the final significant coefficient is determined to be greater than 0 in the sub-block in which the index is 0, and the significant coefficient does not exist in the second area.

    METHOD FOR TRANSFORM-BASED IMAGE CODING AND APPARATUS THEREFOR

    公开(公告)号:US20250126267A1

    公开(公告)日:2025-04-17

    申请号:US18984222

    申请日:2024-12-17

    Abstract: A method for image decoding, according to the present document, may comprise the steps of: deriving an intra prediction mode of a chroma block as a cross-component linear model (CCLM) mode; updating the intra prediction mode of the chroma block on the basis of an intra prediction mode of a luma block corresponding to the chroma block; and determining an LFNST set including LFNST matrices on the basis of the updated intra prediction mode, wherein the updated intra prediction mode is derived as an intra prediction mode corresponding to a specific position in the luma block, and the specific position is set on the basis of a color format of the chroma block.

    METHOD AND APPARATUS FOR SIGNALING PURPOSE FOR NEURAL-NETWORK POST-FILTER GROUPING CHARACTERISTIC SEI MESSAGE FOR CODED BITSTREAM

    公开(公告)号:US20250106393A1

    公开(公告)日:2025-03-27

    申请号:US18899429

    申请日:2024-09-27

    Abstract: An image decoding method including obtaining a neural network post-filter (NNPF) group (NNPFG) characteristics supplemental enhancement information (SEI) message specifying information related to a group of two or more NNPFs to be applied to image data; determining a grouping type of the group of the two or more NNPFs based on the message; based on the grouping type indicating that only one of the group of the two or more NNPFs is to be selected to be applied, or that the group of the two or more NNPFs are to be applied in parallel, obtaining a value corresponding to a purpose of each of the group of the two or more NNPFs; and applying at least one of the group of the two or more NNPFs to the image data based the obtained value.

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