ENCODING DEVICE, DECODING DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20250047834A1

    公开(公告)日:2025-02-06

    申请号:US18910977

    申请日:2024-10-09

    Abstract: An encoding device, a decoding device, and a storage medium are provided. A reference sample value for a colour component of a current block is determined. A weighting factor is determined according to the reference sample value for the colour component of the current block. A first prediction block for a second colour component of the current block is determined according to the weighting factor and a reference sample value for the second colour component of the current block, where the number of prediction values of the second colour component of the first prediction block is greater than the number of second-colour-component samples in the current block. First filtering is performed on the first prediction block to determine a second prediction block for the second colour component of the current block. A reconstructed value of the second-colour-component sample in the current block is determined according to the second prediction block.

    ENCODING DEVICE, DECODING DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20250039358A1

    公开(公告)日:2025-01-30

    申请号:US18909593

    申请日:2024-10-08

    Abstract: An encoding device, a decoding device, and a storage medium are provided. A reference sample value for a colour component of a current block is determined. A weighting factor is determined according to the reference sample value for the colour component of the current block. A first prediction block for a second colour component of the current block is determined according to the weighting factor and a reference sample value for the second colour component of the current block, where the number of prediction values of the second colour component of the first prediction block is greater than the number of second-colour-component samples in the current block. First filtering is performed on the first prediction block to determine a second prediction block for the second colour component of the current block. A reconstructed value of the second-colour-component sample in the current block is determined according to the second prediction block.

    POINT CLOUD ENCODING AND DECODING METHOD, ENCODER, DECODER AND CODEC SYSTEM

    公开(公告)号:US20230237707A1

    公开(公告)日:2023-07-27

    申请号:US18126538

    申请日:2023-03-27

    CPC classification number: G06T9/40

    Abstract: A point cloud encoding method comprises: processing position information of a target point in a point cloud to obtain reconstruction information of the position information of the target point; obtaining an initial predicted value of attribute information of the target point according to the reconstruction information of the position information of the target point; filtering the initial predicted value of the attribute information of the target point using a Kalman filter algorithm to obtain a final predicted value of the attribute information of the target point; processing the attribute information of the target point in the point cloud to obtain a real value of the attribute information of the target point; obtaining a residual value of the attribute information of the target point according to the final predicted value and the real value of the attribute information of the target point; and encoding the residual value of the attribute information of the target point to obtain a bitstream.

    POINT CLOUD PROCESSING METHOD, DECODER AND STORAGE MEDIUM

    公开(公告)号:US20240177353A1

    公开(公告)日:2024-05-30

    申请号:US18431412

    申请日:2024-02-02

    CPC classification number: G06T9/001 G06T3/4046 G06T9/002

    Abstract: A GAN-based point cloud processing method, decoder and computer-readable storage medium are provided. The method includes: a first point cloud is input into a feature extraction module to obtain a first feature of a point in the first point cloud; the first feature is input into a coarse feature extension module to obtain a second feature; the second feature is input into a geometry generation module to map the second feature from a feature space to a geometric space to obtain a second point cloud; the second feature and the second point cloud are input into a geometric offset prediction module to determine the offset of points in the second point cloud in the geometric space; and a third point cloud according to the second point cloud and the offset is obtained.

    POINT CLOUD ENCODING AND DECODING METHOD AND DECODER

    公开(公告)号:US20240062427A1

    公开(公告)日:2024-02-22

    申请号:US18497715

    申请日:2023-10-30

    CPC classification number: G06T9/001

    Abstract: A point cloud encoding and decoding method and a decoder are provided. The decoder decodes a bitstream to determine filtering flag information corresponding to an initial point cloud, where the filtering flag information is used for determining whether to filter a reconstructed point cloud corresponding to the initial point cloud, determines a filtering coefficient when the filtering flag information indicates to filter the reconstructed point cloud, obtains a filtered point cloud corresponding to the reconstructed point cloud with the filtering coefficient, and updates the reconstructed point cloud with the filtered point cloud.

    POINT CLOUD DECODING AND ENCODING METHOD, AND DECODER, ENCODER AND ENCODING AND DECODING SYSTEM

    公开(公告)号:US20230237704A1

    公开(公告)日:2023-07-27

    申请号:US18127435

    申请日:2023-03-28

    CPC classification number: G06T9/001

    Abstract: A point cloud decoding method comprises: parsing a bitstream of a point cloud to obtain reconstructed information of position information of a target point in the point cloud; obtaining predicted values of attribute information of the target point according to the reconstruction information of the position information of the target point; parsing the bitstream to obtain residual values of the attribute information of the target point; obtaining initial reconstructed values of the attribute information of the target point according to the predicted values and the residual values of the attribute information of the target point; filtering the initial reconstructed values of the attribute information of the target point by using a Kalman filtering algorithm, to obtain final reconstructed values of the attribute information of the target point; and obtaining a decoded point cloud according to the final reconstructed values of the attribute information of the target point.

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