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    DEBLOCKING DECISION FUNCTIONS FOR VIDEO CODING
    41.
    发明申请
    DEBLOCKING DECISION FUNCTIONS FOR VIDEO CODING 审中-公开
    消除视频编码的决策功能

    公开(公告)号：US20130170562A1

    公开(公告)日：2013-07-04

    申请号：US13727031

    申请日：2012-12-26

    Applicant: QUALCOMM Incorporated

    Inventor： Geert Van der Auwera ,  Xianglin Wang ,  Marta Karczewicz

    IPC: H04N7/26

    CPC classification number: H04N19/117 ,  H04N19/14 ,  H04N19/17 ,  H04N19/82 ,  H04N19/86

    Abstract: In one example, a video coding device is configured to decode four blocks of video data, wherein the four blocks are non-overlapping and share one common point such that four edge segments are formed by the four blocks, for each of the four edge segments, determine whether to deblock the respective edge segment based on a first analysis of at least one line of pixels that is perpendicular to the respective edge segment and that intersects the respective edge segment, for each of the four edge segments that was determined to be deblocked, determine whether to apply a strong filter or a weak filter to the respective edge segment based on a second analysis of the at least one line of pixels for the respective edge, and deblock the four edge segments based on the determinations.

    Abstract translation: 在一个示例中，视频编码设备被配置为对四个视频数据块进行解码，其中四个块是不重叠的并且共享一个公共点，使得四个边缘段由四个块形成，四个边缘段中的每一个 基于对于被确定为被去块的四个边缘片段中的每一个，基于垂直于相应边缘片段并且与相应边缘片段相交的至少一行像素的第一次分析，确定是否去块相应的边缘片段 基于对于相应边缘的至少一行像素的第二分析，确定是否对相应边缘段应用强滤波器或弱滤波器，以及基于确定来解除四个边缘段。

    PERFORMING TRANSFORM DEPENDENT DE-BLOCKING FILTERING
    42.
    发明申请
    PERFORMING TRANSFORM DEPENDENT DE-BLOCKING FILTERING 有权
    执行变形相关的阻塞滤波

    公开(公告)号：US20130094572A1

    公开(公告)日：2013-04-18

    申请号：US13645345

    申请日：2012-10-04

    Applicant: Qualcomm Incorporated

    Inventor： Geert Van der Auwera ,  Rajan Laxman Joshi ,  Marta Karczewicz

    IPC: H04N7/26

    CPC classification number: H04N19/00096 ,  H04N19/126 ,  H04N19/70 ,  H04N19/86

    Abstract: In general, techniques are described for performing transform dependent de-blocking filtering, which may be implemented by a video encoding device. The video encoding device may apply a transform to a video data block to generate a block of transform coefficients, apply a quantization parameter to quantize the transform coefficients and reconstruct the block of video data from the quantized transform coefficients. The video encoding device may further determine at least one offset used in controlling de-blocking filtering based on the size of the applied transform, and perform de-blocking filtering on the reconstructed block of video data based on the determined offset. Additionally, the video encoder may specify a flag in a picture parameter set (PPS) that indicates whether the offset is specified in one or both of the PPS and a header of an independently decodable unit.

    Abstract translation: 通常，描述用于执行变换相关的去块滤波的技术，其可以由视频编码设备来实现。 视频编码装置可以向视频数据块应用变换以产生变换系数块，应用量化参数来量化变换系数并从量化变换系数重构视频数据块。 视频编码装置还可以基于所应用的变换的大小进一步确定用于控制解块滤波的至少一个偏移，并且基于所确定的偏移对重建的视频数据块执行解块滤波。 此外，视频编码器可以指定图像参数集（PPS）中的标志，其指示是否在PPS中的一个或两个中指定了偏移量，以及独立可解码单元的报头。

    CLIPPING LASER INDICES IN PREDICTIVE GEOMETRY CODING FOR POINT CLOUD COMPRESSION
    47.
    发明公开
    CLIPPING LASER INDICES IN PREDICTIVE GEOMETRY CODING FOR POINT CLOUD COMPRESSION 审中-公开

    公开(公告)号：US20240312067A1

    公开(公告)日：2024-09-19

    申请号：US18677789

    申请日：2024-05-29

    Applicant: QUALCOMM Incorporated

    Inventor： Adarsh Krishnan Ramasubramonian ,  Bappaditya Ray ,  Geert Van der Auwera ,  Marta Karczewicz

    IPC: G06T9/00 ,  G01S17/89

    CPC classification number: G06T9/001 ,  G01S17/89

    Abstract: A method of encoding a point cloud includes determining, by one or more processors, a quantity of lasers used to capture light detection and ranging (LIDAR) data that represents the point cloud; and encoding, by the one or more processors, a laser index for a current node of the point cloud, wherein encoding the laser index comprises: obtaining a predicted laser index value of the current node; determining a residual laser index value for the current node, wherein determining the residual laser index value comprises constraining a sum of the residual laser index value and the predicted laser index value to be less than or equal to the determined quantity of lasers minus one; and encoding, in a bitstream, one or more syntax elements that represent the residual laser index value.

    ATTRIBUTE CODING FOR POINT CLOUD COMPRESSION
    49.
    发明公开
    ATTRIBUTE CODING FOR POINT CLOUD COMPRESSION 审中-公开

    公开(公告)号：US20240233196A9

    公开(公告)日：2024-07-11

    申请号：US18490467

    申请日：2023-10-19

    Applicant: QUALCOMM Incorporated

    Inventor： Anique Akhtar ,  Geert Van der Auwera ,  Adarsh Krishnan Ramasubramonian ,  Marta Karczewicz

    IPC: G06T9/00

    CPC classification number: G06T9/002

    Abstract: A method of encoding point cloud data includes receiving, for a first encoding process, geometry data of the point cloud data of a source point cloud; encoding, in accordance with the first encoding process, the geometry data to generate encoded geometry data of a target point cloud and a geometry bitstream; decoding the encoded geometry data to generate reconstructed geometry data; performing an attribute recomputing process on attribute data of the point cloud data of the source point cloud based on the reconstructed geometry data to generate recomputed, reconstructed point cloud data of the target point cloud; and encoding, in accordance with a second encoding process, the recomputed, reconstructed point cloud data to generate an attribute bitstream.

    DECODING ATTRIBUTE VALUES IN GEOMETRY-BASED POINT CLOUD COMPRESSION
    50.
    发明公开
    DECODING ATTRIBUTE VALUES IN GEOMETRY-BASED POINT CLOUD COMPRESSION 审中-公开

    公开(公告)号：US20240185470A1

    公开(公告)日：2024-06-06

    申请号：US18488816

    申请日：2023-10-17

    Applicant: QUALCOMM Incorporated

    Inventor： Adarsh Krishnan Ramasubramonian ,  Geert Van der Auwera ,  Marta Karczewicz

    IPC: G06T9/00

    CPC classification number: G06T9/001

    Abstract: A device for processing point cloud data is configured to determine a first attribute value for a first point of a point cloud, the first point being a closest already-decoded point to a current point of the point cloud; determine second and third attribute values for second and third points of the point cloud, the second and third points being second and third closest already-decoded points; determine a fourth attribute value for a fourth point of the point cloud, the fourth point being an already-decoded point that is either further from, or the same distance to, the current point as the third point; generate a set of predictor candidates with a subset of the first attribute value, the second attribute value, the third attribute value, and the fourth attribute value based on a comparison of a location of the second point to a location of the third point.

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