• DocumentCode
    2324670
  • Title

    Efficient bit-rate estimation technique for CABAC

  • Author

    Chen, Shuming ; Shuwei Sun

  • Author_Institution
    Comput. Sch., Nat. Univ. of Defense Technol., Changsha
  • fYear
    2008
  • fDate
    Nov. 30 2008-Dec. 3 2008
  • Firstpage
    514
  • Lastpage
    517
  • Abstract
    CABAC is the entropy coding method adopted in H.264/AVC main profile. The combination of CABAC and RDO can represent an improvement in bit rate of around 20%. However, the computation complexity of video encoding increases drastically. To improve the coding performance, this paper proposes a transform-domain bit-rate estimation method for CABAC, which estimates the bit-rate of coding blocks based on the quantized transform coefficients and motion vector differences. Based on the bit-rate estimation method, a fast mode decision algorithm is presented, in which the estimated bit-rate values instead of the actual ones after entropy coding are adopted to calculate the Language cost in RDO mode decision and the entropy coding is performed only on the optimal mode. Simulation results show that the proposed algorithm saves about 33% of total encoding time while the losses of PSNR and bit-rate are negligible.
  • Keywords
    adaptive codes; arithmetic codes; binary codes; entropy codes; error statistics; video coding; H.264/AVC; coding blocks bit-rate; context-based adaptive binary arithmetic coding; entropy coding method; motion vector differences; quantized transform coefficients; transform-domain bit-rate estimation method; video encoding; Arithmetic; Bit rate; Cost function; Educational programs; Encoding; Entropy coding; ISO standards; Lagrangian functions; Motion estimation; PSNR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2008. APCCAS 2008. IEEE Asia Pacific Conference on
  • Conference_Location
    Macao
  • Print_ISBN
    978-1-4244-2341-5
  • Electronic_ISBN
    978-1-4244-2342-2
  • Type

    conf

  • DOI
    10.1109/APCCAS.2008.4746073
  • Filename
    4746073