ENCODING OPTIMIZATION WITH ILLUMINATION COMPENSATION AND INTEGER MOTION VECTOR RESTRICTION

    公开(公告)号:US20180199055A1

    公开(公告)日:2018-07-12

    申请号:US15865054

    申请日:2018-01-08

    Abstract: A video encoder is configured to determine whether to enable or disable an integer motion vector precision restriction and whether to enable or disable an illumination compensation (IC) tool by: for a large search range in a reference picture, performing first motion estimation tests, wherein performing the first motion estimation tests comprises performing motion estimation tests only with the IC tool disabled and the integer motion vector precision restriction disabled and with the IC tool enabled and the integer motion vector precision restriction disabled; based on the first motion estimation tests, determining a small search range, wherein the small search range is smaller than the large search range; for the small search range, performing second motion estimation tests; and based on the second motion estimation tests, determining whether to enable or disable the integer motion vector precision restriction and whether to enable or disable the IC tool.

    MOTION VECTOR RECONSTRUCTIONS FOR BI-DIRECTIONAL OPTICAL FLOW (BIO)

    公开(公告)号:US20180192072A1

    公开(公告)日:2018-07-05

    申请号:US15861515

    申请日:2018-01-03

    Abstract: For a bi-directional inter predicted block, a video decoder is configured, using a first MV, to locate a first predictive block in a first reference picture; using a second MV, locate a second predictive block in a second reference picture; for a first sub-block of the first predictive block, determine a first amount of bi-directional optical flow (BIO) motion; determine a first final predictive sub-block for the block of video data based on the first amount of BIO motion; for a second sub-block of the first predictive block, determine a second amount of BIO motion; determine a second final predictive sub-block for the block of video data based on the second amount of BIO motion; and based on the first final predictive sub-block and the second final predictive sub-block, determine a final predictive block for the block of video data.

    GEOMETRY-BASED PRIORITY FOR THE CONSTRUCTION OF CANDIDATE LISTS

    公开(公告)号:US20180070100A1

    公开(公告)日:2018-03-08

    申请号:US15695606

    申请日:2017-09-05

    Abstract: In one example, a device includes a memory configured to store the video data; and one or more processors implemented in circuitry and configured to determine a plurality of distances between a first representative point of a current block of video data and a plurality of second representative points of neighboring blocks to the current block, add one or more of the neighboring blocks as candidates to a candidate list of the current block in an order according to the distances between the first representative point and the second representative points, and code the current block using the candidate list. The candidate list may be, for example, a merge list, an AMVP list, or a most probable mode list. Alternatively, the candidate list may be a list of candidates from which to determine context information for context-adaptive binary arithmetic coding (CABAC).

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