• DocumentCode
    1656750
  • Title

    Simplified video coding for digital mobile devices

  • Author

    Li, Jin ; Gabbouj, Moncef ; Takala, Jarmo ; Chen, Hexin

  • Author_Institution
    Dept. of Inf. Technol., Tampere Univ. of Technol., Tampere
  • fYear
    2008
  • Firstpage
    1247
  • Lastpage
    1250
  • Abstract
    Most mobile devices are currently suffering from the lack of computational power and energy-consumption constraints, there is significant interest and research in reducing the computational complexity for fast video coding. This paper proposes a statistical model to predict the zero-quantized DCT (ZQDCT) coefficients for 3-D DCT video coding and thus to speech up the encoding process. First, each 8times8times8 pixel cube at the input of DCT is decomposed into a mean value and a residual 8times8times8 pixel cube. Subsequently, a statistical Laplacian model is mathematically developed to predict the ZQDCT coefficients. Finally, the redundant calculations for these ZQDCT coefficients are skipped. Compared to the baseline encoding method, the proposed model can significantly simplify the complexity and achieve better real-time performance at the expense of negligible visual degradation. Computational reduction also implies longer battery lifetime and energy economy for portable devices.
  • Keywords
    digital radio; discrete cosine transforms; mobile radio; statistical analysis; video coding; 3D DCT video coding; computational complexity; computational power constraints; digital mobile devices; energy-consumption constraints; portable devices; statistical model; zero-quantized DCT coefficients; Computational complexity; Discrete cosine transforms; Encoding; Laplace equations; Mathematical model; Mobile computing; Predictive models; Speech coding; Speech processing; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697357
  • Filename
    4697357