• DocumentCode
    104608
  • Title

    Exploration of Practical HEVC/H.265 Sample Adaptive Offset Encoding Policies

  • Author

    Yongseok Choi ; Jaehwan Joo

  • Author_Institution
    Samsung Electron., Suwon, South Korea
  • Volume
    22
  • Issue
    4
  • fYear
    2015
  • fDate
    Apr-15
  • Firstpage
    465
  • Lastpage
    468
  • Abstract
    A new in-loop filter, sample adaptive offset (SAO) allows the latest video compression standard, HEVC or H.265, to achieve higher coding efficiency both in objective and subjective measures. However, it requires additional operations to estimate the best SAO parameters per coding tree unit (CTU) during the video encoding process, which often leads to many practical issues such as high computational complexity or architectural inefficiency that might not be affordable for low power or real-time video encoders. In this paper, we explore various SAO encoding policies including complexity reduction in the SAO parameter estimation and efforts to remove inefficiency caused by its implementation in a pipelined manner through numerous experimental tests.
  • Keywords
    adaptive codes; computational complexity; data compression; parameter estimation; video coding; HEVC/H.265; SAO encoding policies; SAO parameter estimation; adaptive offset encoding policies; coding efficiency; coding tree unit; complexity reduction; computational complexity; in-loop filter; video compression standard; video encoders; video encoding process; Computational complexity; Encoding; Estimation; Filtering; Streaming media; Video compression; H.265; high efficiency video coding (HEVC); in-loop filter; sample adaptive offset (SAO); video compression;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2014.2362794
  • Filename
    6920021