Abstract
A steady increase in available processing power continues to drive advances in video compression technology. The recently completed Versatile Video Coding (VVC) standard aims to double the compression efficiency of HEVC and deliver a same quality of video at half the bitrate. To achieve this goal, VVC includes several new methods that improve coding efficiency at the cost of increased complexity. This paper provides a complexity analysis of VVC and its VTM reference software. Whereas VVC is more complex than HEVC, it remains readily implementable in software on current generation processors. Performance of practical decoders are reported, showing that real-time decoding of 8K content is feasible. An encoder is also presented, showing that most of the compression gains of VVC over HEVC can be obtained at a small fraction of the resources needed by the VTM encoder under common test conditions.
Highlights
V ERSATILE Video Coding (VVC) [1] is the most recent video compression specification jointly developed by ISO/IEC and ITU-T
This paper focuses on the core “Main 10” profile, which supports sample bit depths of up to 10 bits and the 4:2:0 chroma sampling format
Inter-picture prediction of chroma components is simpler than luma for several reasons: (a) a 4-tap filter is used for interpolation; (b) Decoder-side Motion Vector Refinement (DMVR) reuses the refinement derived for luma; and (c) prediction refinement with optical flow (PROF) and Bidirectional optical flow (BDOF) do not apply
Summary
V ERSATILE Video Coding (VVC) [1] is the most recent video compression specification jointly developed by ISO/IEC and ITU-T. One of its purposes is to provide a substantial improvement in compression efficiency over the previous HEVC standard: deliver a same quality of video at half the bitrate. Some aspects of the “Main 10 4:4:4” profile are discussed. It should be noted that VVC, unlike its predecessors, does not feature a separate profile for lower sample bit depths (e.g., 8 bits). VVC’s improved compression efficiency comes at the cost of increased complexity.
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