• DocumentCode
    535144
  • Title

    An adaptive early termination algorithm for motion estimation in multi-view video coding

  • Author

    Zhang, Peng ; Jiang, Guang ; Yang, Shuai ; Jia, Lin ; Wu, Chengke

  • Author_Institution
    ISN Nat. Key Lab., Xidian Univ., Xi´´an, China
  • Volume
    1
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    72
  • Lastpage
    75
  • Abstract
    In this paper, we propose an adaptive early termination algorithm for motion estimation in multi-view video coding (MVC). Currently, in order to find the optimal motion vector (MV) during MVC, all the reference frames need to be traversed, but the time consumption would be huge for a 7-modal block during the whole coding process. In the hope of reducing the coding time-consumption and meanwhile maintaining good video quality, we adopt adaptive termination thresholds based on each group of pictures (GOP) to early terminate the motion estimation (ME) process. Experimental results demonstrate that, compared with the Full Search (FS) and TZ-fast-search (TZFS) scheme in JMVC 7.2, the proposed algorithm reduces obviously the time-consumption in coding with negligible video-quality degradation.
  • Keywords
    adaptive estimation; image segmentation; image sequences; motion estimation; search problems; video coding; GOP; MVC; TZ-fast-search scheme; adaptive early termination algorithm; adaptive termination threshold; coding time-consumption; full search scheme; group of pictures; motion estimation; motion vector; multiview video coding; reference frame; video quality; Bit rate; Complexity theory; Encoding; Motion estimation; PSNR; Prediction algorithms; Video coding; GOP; MVC; adaptive early termination; multiple reference frame; variable block-size;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5647073
  • Filename
    5647073