METHOD AND APPARATUS FOR PROCESSING VIDEO SIGNAL
    151.
    发明申请
    METHOD AND APPARATUS FOR PROCESSING VIDEO SIGNAL 审中-公开
    用于处理视频信号的方法和装置

    公开(公告)号:US20160165259A1

    公开(公告)日:2016-06-09

    申请号:US14903920

    申请日:2014-07-18

    Abstract: The present invention relates to a method and an apparatus for processing a video signal, capable of: obtaining a temporary inter-view motion vector corresponding to a first unit; obtaining virtual depth information corresponding to the first unit by using the temporary inter-view motion vector; obtaining an inter-view motion vector corresponding to the first unit by using the virtual depth information corresponding to the first unit; and updating the inter-view motion vector corresponding to the first unit.

    Abstract translation: 本发明涉及一种用于处理视频信号的方法和装置,其能够:获得对应于第一单元的临时视角间运动矢量; 通过使用临时的视角间运动矢量来获得与第一单元相对应的虚拟深度信息; 通过使用与第一单元对应的虚拟深度信息来获得与第一单元相对应的视角间运动矢量; 以及更新与第一单元相对应的视角间运动矢量。

    METHOD AND APPARATUS FOR PROCESSING VIDEO SIGNAL
    152.
    发明申请
    METHOD AND APPARATUS FOR PROCESSING VIDEO SIGNAL 审中-公开
    用于处理视频信号的方法和装置

    公开(公告)号:US20160050437A1

    公开(公告)日:2016-02-18

    申请号:US14780781

    申请日:2014-04-09

    CPC classification number: H04N19/597 H04N19/176

    Abstract: A video signal processing method according to the present invention comprises: obtaining a depth prediction value of a current block; recovering a depth residual per sample of the current block according to an SDC mode indicator; and recovering a depth value of the current block using the depth prediction value and the recovered depth residual. The present invention adaptively uses an SDC mode according to an SDC mode indicator and further uses an SDC mode and/or depth lookup table, thereby increasing encoding efficiency for depth data.

    Abstract translation: 根据本发明的视频信号处理方法包括:获得当前块的深度预测值; 根据SDC模式指示器恢复当前块的每个样本的深度残差; 以及使用深度预测值和恢复的深度残差来恢复当前块的深度值。 本发明根据SDC模式指示符自适应地使用SDC模式,并进一步使用SDC模式和/或深度查找表,从而提高深度数据的编码效率。

    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.

    IMAGE DECODING METHOD USING BDPCM AND DEVICE THEREFOR

    公开(公告)号:US20250071297A1

    公开(公告)日:2025-02-27

    申请号:US18942083

    申请日:2024-11-08

    Abstract: An image decoding method performed by a decoding apparatus according to the present document comprises the steps of: deriving prediction samples for a first sample and a second sample of the current block on the basis of BDPCM-related information about the current block and neighboring samples of the current block; deriving residual samples for the first sample and the second sample on the basis of a residual coefficient of the first sample and a modified residual coefficient of the second sample; and storing, as the intra prediction mode of the current block, the intra prediction mode in the prediction direction of the current block, which is derived on the basis of a BDPCM direction flag.

    BDOF-BASED INTER PREDICTION METHOD AND DEVICE
    159.
    发明公开

    公开(公告)号:US20240114145A1

    公开(公告)日:2024-04-04

    申请号:US18525179

    申请日:2023-11-30

    Abstract: An image decoding method includes: deriving an L0 motion vector and a L1 motion vector of the current block; deriving prediction samples of the current block based on the L0 motion vector and the L1 motion vector; and generating reconstructed samples of the current block based on the prediction samples. Deriving the prediction samples includes applying bi-directional optical flow (BDOF) to the current block based on whether the condition for applying BDOF to the current block is satisfied, and the application condition of the BDOF includes a condition whereby the values of L0 luma weighted prediction flag information and L1 luma weighted prediction flag information are both zero, where the a value of each of the L0 luma weighted prediction flag information and L1 luma weighted prediction flag information being 0 represents that a weight factor for each of a L0 and L1 prediction luma components does not exist, respectively.

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