• DocumentCode
    179688
  • Title

    New merge mode decision in High Efficiency Video Coding (HEVC)

  • Author

    Chang-Yi Hong ; Hui-Jane Hsieh ; Yinyi Lin

  • Author_Institution
    Dept. of Commun. Eng., Nat. Central Univ., Chungli, Taiwan
  • fYear
    2014
  • fDate
    July 30 2014-Aug. 1 2014
  • Firstpage
    103
  • Lastpage
    107
  • Abstract
    The advanced motion vector prediction (AMVP) used in the newly developed High Efficiency Video Coding (HEVC) employs five MV candidates from both spatial and temporal domains for merge mode decision. The merge index is then entropy coded using a simple prefix code. To reduce merge index overhead, in this paper we propose a new merge mode decision algorithm which suggests using decoder derived MV candidates for merge mode decision, based upon both sum of absolute bidirectional prediction differences (SABPD) and template matching (TM) criteria. As a result, only a merge index flag is required for transmission instead of prefix coded index. The experimental results reveal that the proposed algorithm achieves up to 1.46% of bit rate reduction (with average 0.73% reduction), compared to the method used in the HEVC.
  • Keywords
    decoding; entropy codes; image matching; video coding; AMVP; HEVC; SABPD; TM; advanced motion vector prediction; bit rate reduction; decoder derived MV candidate; entropy code; high efficiency video coding; merge index flag; merge index overhead reduction; merge mode decision algorithm; prefix code; spatial domain; sum of absolute bidirectional prediction difference; template matching; temporal domain; Bit rate; Computer science; Decoding; Encoding; Indexes; Vectors; Video coding; High efficiency video coding (HEVC); Merge mode decision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Engineering Conference (ICSEC), 2014 International
  • Conference_Location
    Khon Kaen
  • Print_ISBN
    978-1-4799-4965-6
  • Type

    conf

  • DOI
    10.1109/ICSEC.2014.6978177
  • Filename
    6978177