• DocumentCode
    2249164
  • Title

    Efficient Hardware Implementation for H.264/AVC Motion Estimation

  • Author

    Bojnordi, Mahdi Nazm ; Semsarzadeh, Mehdi ; Hashemi, Mahmoud Reza ; Fatemi, Omid

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Tehran Univ.
  • fYear
    2006
  • fDate
    4-7 Dec. 2006
  • Firstpage
    1749
  • Lastpage
    1752
  • Abstract
    Variable block size motion estimation (VBSME) is adopted in H.264/AVC to improve the coding efficiency. However, supporting various block sizes significantly increases the complexity of both video encoding and decoding. In this paper a multi-level parallel architecture for H.264/AVC motion estimation is proposed. SIMD architecture is proposed for absolute differentiator and accumulator (ADA). Using the ADA as the main processing engine, a cost and performance SAD processor is proposed. Experimental results indicate that more than 100% performance improvement is achieved by the proposed architectures compared to the state-of-the-art architectures with similar resources
  • Keywords
    block codes; coprocessors; motion estimation; parallel architectures; video coding; H.264 AVC; SAD processor; SIMD architecture; absolute differentiator and accumulator; coding efficiency; multilevel parallel architecture; processing engine; variable block size motion estimation; video decoding; video encoding; Automatic voltage control; Computer architecture; Costs; Encoding; Engines; Hardware; Motion estimation; Parallel architectures; Very large scale integration; Video compression; H.264/AVC; VBSME; parallel architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2006. APCCAS 2006. IEEE Asia Pacific Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    1-4244-0387-1
  • Type

    conf

  • DOI
    10.1109/APCCAS.2006.342156
  • Filename
    4145750