• DocumentCode
    2254355
  • Title

    Fast mode decision algorithm for spatial and SNR scalable video coding

  • Author

    Kim, Seon-Tae ; Konda, Krishna Reddy ; Cho, Chang-Sik

  • Author_Institution
    S/W & Content Res. Lab., ETRI, Daejeon, South Korea
  • fYear
    2009
  • fDate
    24-27 May 2009
  • Firstpage
    872
  • Lastpage
    875
  • Abstract
    Scalable video coding (SVC) has found more and more applications in a variety of the adaptive network streaming and the terminal. In the current SVC, an exhaustive search technique is employed to select the best coding mode for each macro block. This technique achieves the optimal trade-off between the bit-rate and distortion, but it results in extremely large encoding time which obstructs it from practical use. In this paper, we propose a fast mode decision algorithm for inter frame coding for spatial and coarse grain signal to noise ratio (SNR) scalability. In the proposed method, we predict the enhancement layer mode using both collocated macro block and its neighboring block mode in the base layer. The proposed method can achieve the time saving up to 78 percent in spatial scalability and 35 percent in coarse grain quality scalability (CGS) with the negligible loss of quality and increment in bit rate.
  • Keywords
    video coding; video streaming; SNR scalable video coding; adaptive network streaming; coarse grain quality scalability; enhancement layer mode; fast mode decision algorithm; interframe coding; signal-to-noise ratio; spatial scalable video coding; Adaptive systems; Automatic voltage control; Bit rate; Encoding; Rate-distortion; Scalability; Signal to noise ratio; Static VAr compensators; Streaming media; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-3827-3
  • Electronic_ISBN
    978-1-4244-3828-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.2009.5117895
  • Filename
    5117895