Robot, server, and human-machine interaction method

    公开(公告)号:US11858118B2

    公开(公告)日:2024-01-02

    申请号:US16457676

    申请日:2019-06-28

    CPC classification number: B25J11/001 G06N20/00 G06V40/176 G09B5/065 G10L25/63

    Abstract: Embodiments of the present invention provide a human-machine interaction method, including: detecting and collecting, by a robot, sensing information of a companion object of a target object and emotion information of the target object that is obtained when the target object interacts with the companion object; extracting, by the robot, an emotion feature quantity based on the emotion information, determining, based on the emotion feature quantity, an emotional pattern used by the target object to interact with the companion object, determining, based on the emotional pattern, a degree of interest of the target object in the companion object, extracting behavioral data of the companion object from the sensing information based on the degree of interest, and screening the behavioral data to obtain simulated object data; and simulating, by the robot, the companion object based on the simulated object data.

    MOTION VECTOR PREDICTION METHOD AND RELATED APPARATUS

    公开(公告)号:US20230370607A1

    公开(公告)日:2023-11-16

    申请号:US18318731

    申请日:2023-05-17

    CPC classification number: H04N19/139 H04N19/119 H04N19/176 H04N19/61

    Abstract: A motion vector prediction method includes parsing a bitstream to obtain an index value of a candidate motion vector list and constructing the candidate motion vector list that includes. candidate motion vectors of K control points of a current block. The candidate motion vectors of K control points are obtained based on a 2N-parameter affine transform model used for a neighboring block of the current block, where N and K are integers greater than or equal to 2 and less than or equal to 4 with N not being equal to K. The method further includes determining, in the candidate motion vector list, target candidate motion vectors of the K control points based on the index value and obtaining a predicted motion vector of each subblock of the current block based on the target candidate motion vectors of the K control points.

    MOTION VECTOR PREDICTION METHOD AND RELATED APPARATUS

    公开(公告)号:US20230370606A1

    公开(公告)日:2023-11-16

    申请号:US18318730

    申请日:2023-05-17

    CPC classification number: H04N19/139 H04N19/119 H04N19/176 H04N19/61

    Abstract: A motion vector prediction method includes parsing a bitstream to obtain an index value of a candidate motion vector list and constructing the candidate motion vector list that includes. candidate motion vectors of K control points of a current block. The candidate motion vectors of K control points are obtained based on a 2N-parameter affine transform model used for a neighboring block of the current block, where N and K are integers greater than or equal to 2 and less than or equal to 4 with N not being equal to K. The method further includes determining, in the candidate motion vector list, target candidate motion vectors of the K control points based on the index value and obtaining a predicted motion vector of each subblock of the current block based on the target candidate motion vectors of the K control points.

    MOTION VECTOR PREDICTION METHOD AND RELATED APPARATUS

    公开(公告)号:US20220078443A1

    公开(公告)日:2022-03-10

    申请号:US17525944

    申请日:2021-11-14

    Abstract: A motion vector prediction method includes parsing a bitstream to obtain an index value of a candidate motion vector list and constructing the candidate motion vector list that includes. candidate motion vectors of K control points of a current block. The candidate motion vectors of K control points are obtained based on a 2N-parameter affine transform model used for a neighboring block of the current block, where N and K are integers greater than or equal to 2 and less than or equal to 4 with N not being equal to K. The method further includes determining, in the candidate motion vector list, target candidate motion vectors of the K control points based on the index value and obtaining a predicted motion vector of each subblock of the current block based on the target candidate motion vectors of the K control points.

    Motion vector prediction method and related apparatus

    公开(公告)号:US11206408B2

    公开(公告)日:2021-12-21

    申请号:US17140041

    申请日:2021-01-01

    Abstract: A method includes: parsing a bitstream to obtain an index value of a candidate motion vector list; constructing the candidate motion vector list, where the candidate motion vector list includes candidate motion vectors of K control points of a current block, the candidate motion vectors of the K control points are obtained based on a 2N-parameter affine transform model used for a neighboring block of the current block, N, K are integers greater than or equal to 2 and less than or equal to 4, and N is not equal to K; determining, in the candidate motion vector list, target candidate motion vectors of the K control points based on the index value; and obtaining a predicted motion vector of each subblock of the current block based on the target candidate motion vectors of the K control points. It helps improve coding efficiency in an audio and video coding process.

    Luma and Chroma Block Partitioning
    57.
    发明申请

    公开(公告)号:US20210368174A1

    公开(公告)日:2021-11-25

    申请号:US17394225

    申请日:2021-08-04

    Abstract: A video coding mechanism is disclosed. The mechanism includes obtaining a coding tree unit including luma samples and chroma samples. The mechanism partitions the luma samples and the chroma samples according to a common coding tree when a size of a first coding tree node exceeds a threshold. The mechanism also partitions the luma samples with a luma coding sub-tree when a size of a second coding tree node is equal to or less than the threshold. The mechanism also chroma samples with a chroma coding sub-tree when a size of a third coding tree node is equal to or less than the threshold. The luma coding sub-tree contains a different set of split modes than the chroma coding sub-tree.

    Block partitioning in video coding
    59.
    发明授权

    公开(公告)号:US11102484B2

    公开(公告)日:2021-08-24

    申请号:US16929979

    申请日:2020-07-15

    Abstract: A video coding mechanism is disclosed. The mechanism includes selecting a split mechanism to split a coding unit (CU) into sub-CUs for application of one or more transform units (TUs), the selection of the split mechanism based on comparing a CU width to a max TU width and comparing a CU height to a max TU height. The selected split mechanism is applied to the CU to obtain sub-CUs. A residual of one of the sub-CUs is determined. The residual includes a difference between sample values for the sub-CU and prediction samples for the sub-CU. The TUs are applied to transform the residual of the CU based on results of the selected split mechanism. A transformed residual for the CU is encoded into a bitstream.

    MOTION VECTOR PREDICTION METHOD AND RELATED APPARATUS

    公开(公告)号:US20210127116A1

    公开(公告)日:2021-04-29

    申请号:US17140041

    申请日:2021-01-01

    Abstract: A method includes: parsing a bitstream to obtain an index value of a candidate motion vector list; constructing the candidate motion vector list, where the candidate motion vector list includes candidate motion vectors of K control points of a current block, the candidate motion vectors of the K control points are obtained based on a 2N-parameter affine transform model used for a neighboring block of the current block, N, K are integers greater than or equal to 2 and less than or equal to 4, and N is not equal to K; determining, in the candidate motion vector list, target candidate motion vectors of the K control points based on the index value; and obtaining a predicted motion vector of each subblock of the current block based on the target candidate motion vectors of the K control points. It helps improve coding efficiency in an audio and video coding process.

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