REGION ADAPTIVE DATA-EFFICIENT GENERATION OF PARTITIONING AND MODE DECISIONS FOR VIDEO ENCODING

    公开(公告)号:US20190045198A1

    公开(公告)日:2019-02-07

    申请号:US15856691

    申请日:2017-12-28

    Abstract: Techniques related to detection of features and modification of encoding based on such detected features for improved data utilization efficiency are discussed. Such techniques include generating a partitioning decision for a block and coding mode decisions for partitions of the individual block using the detected features or indicators thereof based on one or more of generating a luma and chroma or luma only evaluation decision for a partition, generating a merge or skip mode decision for a partition having an initial merge mode decision, generating only a portion of a transform coefficient block for a partition, and evaluating 4×4 partitions only for any partition of the partitions that are 8×8 initial coding partitions.

    PARTITIONING AND CODING MODE SELECTION FOR VIDEO ENCODING

    公开(公告)号:US20190045210A1

    公开(公告)日:2019-02-07

    申请号:US15898022

    申请日:2018-02-15

    Abstract: Techniques related to video encoding are discussed that, for each block of input video, select an individual partitioning and coding mode selection technique from multiple such selection techniques. For a picture, the selection algorithm takes as input scores for individual blocks, costs of the various partitioning and coding mode selection techniques, and various detector outputs. The selection algorithm provides as output a partitioning and coding mode selection technique for each block in picture. The algorithms selection is such that the overall cost of the selected algorithms in the picture is as close as possible to a given picture budget. Furthermore, a partitioning and coding mode selection algorithms, binary depth partitioning (BDP), is discussed. For a block, BDP provides fast convergence to a partitioning and associated coding modes first evaluating intermediate partitioning options and converging on the final partitioning by evaluating either larger of smaller partitions.

Patent Agency Ranking