• DocumentCode
    3193637
  • Title

    High efficient NTSS-based parallel architecture for motion estimation in H.264

  • Author

    Ho, Mean-Hom ; Huang, Jau-Jiun ; Chin, Shang-Chiang ; Hsu, Chun-Lung

  • Author_Institution
    Dept. of Electr. Eng., Nat. Dong Hwa Univ., Hualien
  • fYear
    2008
  • fDate
    25-27 May 2008
  • Firstpage
    679
  • Lastpage
    683
  • Abstract
    This paper proposes a parallel architecture design for motion estimation (ME) by using the new three step search (NTSS) block-matching algorithm. The proposed NTSS-based parallel architecture adopts the partition technique to separate the encoded frame into two parts for operating. By using the partition technique, the search time of the proposed NTSS-based parallel architecture can be reduced more than 1/2 times. In other words, the proposed NTSS-base parallel architecture design produces efficient solution for real-time ME required in video application with high speed requirement. Experimental results show that the proposed architecture is the best tradeoff in terms of hardware area overhead and speed among the all-existing previous works. Also, the proposed architecture design can be used for various video applications from low bit-rate video to HDTV system.
  • Keywords
    high definition television; motion estimation; parallel architectures; video coding; H.264; HDTV system; NTSS-based parallel architecture; block matching; hardware area overhead; low bit-rate video; motion estimation; new three step search; video applications; Computer architecture; Electronic mail; IEC standards; ISO standards; Motion estimation; Parallel architectures; Transform coding; Video coding; Video compression; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems, 2008. ICCCAS 2008. International Conference on
  • Conference_Location
    Fujian
  • Print_ISBN
    978-1-4244-2063-6
  • Electronic_ISBN
    978-1-4244-2064-3
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2008.4657864
  • Filename
    4657864