• DocumentCode
    590322
  • Title

    Implementation of HEVC decoder on x86 processors with SIMD optimization

  • Author

    Leju Yan ; Yizhou Duan ; Jun Sun ; Zongming Guo

  • Author_Institution
    Inst. of Comput. Sci. & Technol., Peking Univ., Beijing, China
  • fYear
    2012
  • fDate
    27-30 Nov. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    High Efficient Video Coding (HEVC) is the next generation video coding standard in progress. Based on the traditional hybrid coding framework, HEVC implements enhanced tools to improve compression efficiency at the cost of far more computational payload than the capacity of real-time video applications. In this paper, we focus on the software implementation of a real-time HEVC decoder over modern Intel x86 processors. First, we identify the most time-consuming modules of HM 4.0 decoder, represented by motion compensation, adaptive loopfilter, deblocking filter and integer transform. Then the single-execution-multiple-data (SIMD) methods are proposed to optimize the computational performance of these modules. Experimental results show that the optimized decoder is more than 4 times faster than the HM 4.0 decoder, with decoding speed of over 40 frames per second for 1920×1080 resolution videos on Intel i5-2400 processor.
  • Keywords
    adaptive filters; data compression; decoding; motion compensation; parallel processing; transforms; video coding; HM 4.0 decoder; Intel i5-2400 processor; Intel x86 processors; SIMD method; SIMD optimization; adaptive loop-filter; compression efficiency improvement; deblocking filter; decoding speed; high-efficient video coding; integer transform; motion compensation; next generation video coding standard; real-time HEVC decoder; real-time video applications; single-execution-multiple-data method; software implementation; Decoding; Encoding; Interpolation; Program processors; Registers; Transforms; Video coding; HEVC; MMX/SSE technologies; SIMD optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing (VCIP), 2012 IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-4405-0
  • Electronic_ISBN
    978-1-4673-4406-7
  • Type

    conf

  • DOI
    10.1109/VCIP.2012.6410845
  • Filename
    6410845