JOINT TERMINATION OF BIDIRECTIONAL DATA BLOCKS FOR PARALLEL CODING

    公开(公告)号:US20220124376A1

    公开(公告)日:2022-04-21

    申请号:US17224812

    申请日:2021-04-07

    Inventor: Amir SAID

    Abstract: Techniques are described herein for processing video data. For instance, a process can include obtaining encoded video data. The process can include determining an intersection of values between values for a first termination byte of a first parcel of the encoded video data and values of a second termination byte of a second parcel of the encoded video data. The process can further include determining a joint termination byte for the first termination byte of the first parcel and the second termination byte of the second parcel. Values for the joint termination byte are based on the intersection of values. The process can include generating entropy coded data including the joint termination byte for the first parcel and the second parcel. The entropy coded data can be generated using arithmetic coding or binary coding.

    ADAPTIVE MULTIPLE TRANSFORM CODING
    12.
    发明申请

    公开(公告)号:US20200099924A1

    公开(公告)日:2020-03-26

    申请号:US16576677

    申请日:2019-09-19

    Abstract: Techniques are described for improving transform coding. For example, an encoded block of video data can be obtained, and a width and/or a height of the block can be determined. The width can be compared to a first threshold and/or the height can be compared to a second threshold. A horizontal transform and a vertical transform can be determined for the block based on comparing the width of the block to the first threshold and/or the height of the block to the second threshold. The horizontal transform and the vertical transform are determined without decoding a syntax element that indicates the horizontal transform and the vertical transform (e.g., the syntax element is not in an encoded video bitstream processed by a decoding device). In some cases, residual data is determined using the horizontal and vertical transforms, and a video block is determined using the residual data and a predictive block.

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