• DocumentCode
    2127408
  • Title

    A multi-frame and multi-slice H.264 parallel video encoding approach with simultaneous encoding of prediction frames

  • Author

    Franche, Jean-François ; Coulombe, Stéphane

  • Author_Institution
    Dept. of Software & IT Eng., Univ. du Quebec, Montréal, QC, Canada
  • fYear
    2012
  • fDate
    21-23 April 2012
  • Firstpage
    3034
  • Lastpage
    3038
  • Abstract
    This paper describes a novel multi-frame and multi-slice parallel video encoding approach with simultaneous encoding of predicted frames. The approach, when applied to H.264 encoding, leads to speedups comparable to those obtained by state-of-the-art approaches, but without the disadvantage of requiring bidirectional frames. The new approach uses a number of slices equal or greater than the number of cores used and supports three motion estimation modes. Their combination leads to various tradeoffs between speedup and visual quality loss. For an H.264 baseline profile encoder based on Intel IPP code samples running on a two quad core Xeon system (8 cores in total), our experiments show an average speedup of 7.20×, with an average quality loss of 0.22 dB (compared to a non-parallelized version) for the most efficiency motion estimation mode, and an average speedup of 7.95×, with a quality loss of 1.85 dB for the faster motion estimation mode.
  • Keywords
    image sampling; microprocessor chips; motion estimation; video coding; H.264 baseline profile encoder; Intel IPP code sample; bidirectional frame; loss 0.22 dB; loss 1.85 dB; motion estimation mode; multiframe multislice H.264 parallel video encoding approach; prediction frame encoding; two quad core Xeon system; visual quality loss; Bit rate; Encoding; High definition video; Instruction sets; Motion estimation; Real time systems; Streaming media; H.264; multi-core processor; parallel algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4577-1414-6
  • Type

    conf

  • DOI
    10.1109/CECNet.2012.6202018
  • Filename
    6202018