• DocumentCode
    2933866
  • Title

    VLSI friendly me search window buffer structure optimization and algorithm verification for high definition H.264/AVS video encoder

  • Author

    Yin, HaiBing ; Deng, Lei ; Qi, Honggang ; Gao, Wen

  • Author_Institution
    Inst. of Digital Media, Peking Univ., Beijing, China
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    1098
  • Lastpage
    1101
  • Abstract
    High external memory bandwidth requirement is one major challenge for efficient hardware motion estimation (ME) implementation. Large double-buffered on-chip search window (SW) buffer is usually employed to increase the throughput. In this paper, we focus on SW buffer structure optimization in a systematic viewpoint. An efficient buffer share mechanism is proposed to minimize the memory consumption, simultaneously alleviate the external memory access bandwidth. Moreover, variable block size ME (VBSME) and large SW in high definition (HD) video encoder are both supported with good trade off among throughput, data regularity, and rate distortion performance. The simplified algorithm can achieve nearly 50% SW buffer saving with less than 0.15 dB PSNR degradation at the worst case compared with full search VBSME.
  • Keywords
    VLSI; high definition video; motion estimation; video coding; VLSI; data regularity; double-buffered on-chip search window; hardware motion estimation; high definition H.264/AVS video encoder; high external memory bandwidth requirement; memory consumption; rate distortion; search window buffer structure optimization; verification algorithm; Bandwidth; Degradation; Hardware; High definition video; Motion estimation; PSNR; Rate-distortion; Throughput; Very large scale integration; Video sharing; ME; VLSI; high definition; on-chip buffer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1945-7871
  • Print_ISBN
    978-1-4244-4290-4
  • Electronic_ISBN
    1945-7871
  • Type

    conf

  • DOI
    10.1109/ICME.2009.5202690
  • Filename
    5202690