• DocumentCode
    1843288
  • Title

    An efficient embedded compression algorithm using adjusted binary code method

  • Author

    Lee, Yu-Xuan ; Tsai, Tsung-Han

  • Author_Institution
    DSP/VLSI Lab. Dept. of Electron. Eng., Nat. Central Univ., Taoyuan
  • fYear
    2008
  • fDate
    18-21 May 2008
  • Firstpage
    2586
  • Lastpage
    2589
  • Abstract
    Both computation-intensive and bandwidth- intensive are primary characterizes in closed-loop video coding systems. With the rapid progress of semiconductor industry, the commutation-intensive issue can be properly handled by parallelism or pipeline processing. Therefore, bandwidth-intensive issue becomes more and more important in video coding. The embedded compression (EC) technology is widely applied to reduce frame memory size and bandwidth requirement. In this paper, an efficient EC algorithm, including ABC-based recompression, side-clipping mechanism and average-based prediction, is proposed. With proposed EC algorithm, the compression ratio (CR) of 50% can be guaranteed with minor PSNR degradation of 4.02% on average. Although EC is an additional function in video coding system, the extra encoding computation load is just 2.4% on average. Consequently, the proposed EC algorithm can be exploited to reduce the frame memory and bandwidth requirement in video coding systems.
  • Keywords
    binary codes; data compression; video coding; average-based prediction; bandwidth-intensive issue; binary code method; closed-loop video coding systems; compression ratio; embedded compression algorithm; encoding computation load; frame memory size reduction; pipeline processing; semiconductor industry; side-clipping mechanism; Bandwidth; Binary codes; Chromium; Compression algorithms; Degradation; Electronics industry; PSNR; Parallel processing; Pipeline processing; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4244-1683-7
  • Electronic_ISBN
    978-1-4244-1684-4
  • Type

    conf

  • DOI
    10.1109/ISCAS.2008.4541985
  • Filename
    4541985