• DocumentCode
    3408981
  • Title

    Adaptive rate estimation for H.264/AVC intra mode decision

  • Author

    Liao, Ke-Ying ; Yang, Jar-Ferr ; Sun, Ming-Ting

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    1157
  • Lastpage
    1160
  • Abstract
    In this paper, a modified bit-rate estimation method is proposed to reduce the computation for 4x4 intra mode decision of H.264/AVC video encoder. The number of coded bits is modeled by a linear combination of existing coding parameters, which are highly related to the entropy coding of H.264/AVC. Furthermore, to improve the accuracy of the estimation, the proposed scheme is made adaptive to the information obtained from previously coded blocks. Comparing to the original rate distortion optimized (RDO) encoding process, which needs to calculate the actual encoded bits of H.264/AVC for each coding mode, the proposed adaptive rate estimation can save about 28% and 21% of the total encoding time for QCIF and VGA sequences, respectively. For the coding performance, the proposed method achieves nearly no loss in visual quality with only slight bit-rate increases.
  • Keywords
    variable rate codes; video coding; H.264/AVC; adaptive rate estimation; bit rate estimation method; intra mode decision; Automatic voltage control; Computational efficiency; Cost function; Decision support systems; Encoding; Entropy coding; Lagrangian functions; Performance loss; Quantization; Rate-distortion; Adaptive Bit-rate Estimation; H.264/AVC; Intra Rate Estimation; Intra Rate Prediction; Rate-Distortion Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4517820
  • Filename
    4517820