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Machine learning-based H.264/AVC to HEVC transcoding via motion information reuse and coding mode similarity analysis
2019
IET Image Processing
High-efficiency video coding (HEVC), which is the latest video coding standard, is expected to have a dominant position in the market in the near future. However, most video resources are now encoded using the H.264/AVC standard. Consequently, there is a growing need for fast H.264/AVC to HEVC transcoders to facilitate the migration to the updated standard. This paper proposes a fast H.264/AVC to HEVC transcoding scheme, which constructs a three-level classifier using an optimised
doi:10.1049/iet-ipr.2018.5703
fatcat:fvoburmysvdwpakvmeg2wuhnc4