USING LUMA INFORMATION FOR CHROMA PREDICTION WITH SEPARATE LUMA-CHROMA FRAMEWORK IN VIDEO CODING

    公开(公告)号:US20170272748A1

    公开(公告)日:2017-09-21

    申请号:US15463428

    申请日:2017-03-20

    Abstract: A method of decoding video data comprises receiving a bitstream of encoded video data, the encoded video data representing partitioned luma blocks and partitioned chroma blocks, wherein the chroma blocks are partitioned independently of the luma blocks, determining a respective coding mode corresponding to the respective partitioned luma blocks, decoding the respective partitioned luma blocks according to the determined respective coding modes, decoding a first syntax element indicating that the respective coding modes associated with the respective partitioned luma blocks are to be used for decoding a first partitioned chroma block, wherein the first partitioned chroma block is aligned with two or more partitioned luma blocks, determining a chroma coding mode for the first partitioned chroma block according to a function of the respective coding modes of the two or more partitioned luma blocks, and decoding the first partitioned chroma block in accordance with the determined chroma coding mode.

    PREDICTION MODE INFORMATION UPSAMPLING FOR SCALABLE VIDEO CODING

    公开(公告)号:US20170237990A1

    公开(公告)日:2017-08-17

    申请号:US15585918

    申请日:2017-05-03

    Abstract: In one embodiment, an apparatus configured to code video data includes a processor and a memory unit. The memory unit stores video data associated with a first layer having a first spatial resolution and a second layer having a second spatial resolution. The video data associated with the first layer includes at least a first layer block and first layer prediction mode information associated with the first layer block, and the first layer block includes a plurality of sub-blocks where each sub-block is associated with respective prediction mode data of the first layer prediction mode information. The processor derives the predication mode data associated with one of the plurality of sub-blocks based at least on a selection rule, upsamples the derived prediction mode data and the first layer block, and associates the upsampled prediction mode data with each upsampled sub-block of the upsampled first layer block.

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