• DocumentCode
    3514007
  • Title

    Distributions of 3D DCT coefficients for video

  • Author

    Bhaskaranand, Malavika ; Gibson, Jerry D.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of California, Santa Barbara, CA
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    793
  • Lastpage
    796
  • Abstract
    The three-dimensional discrete cosine transform (3D DCT) has been proposed as an alternative to motion-compensated transform coding for video content. However, so far no definitive study has been done on the distribution of 3D DCT coefficients of video sequences. This study performs two goodness-of-fit tests, the Kolmogorov-Smirnov (KS) test and the x2-test, to determine the distribution that best fits the 3D DCT coefficients of the luminance components of video sequences with low motion or structured motion. The results indicate that the DC coefficient can be well approximated by a Gaussian distribution and a majority of the high-energy AC coefficients can be approximated by a Gamma distribution. Knowledge of the coefficient distributions can be used to design quantizers optimized for 3D DCT coefficients and hence achieve better coding efficiency.
  • Keywords
    Gaussian distribution; discrete cosine transforms; gamma distribution; motion compensation; video signal processing; 3D DCT coefficients; 3D discrete cosine transform; Gamma distribution; Gaussian distribution; Kolmogorov-Smirnov test; coding efficiency; motion compensated transform coding; video content; video sequences; Discrete cosine transforms; Entropy; Gaussian distribution; Laplace equations; Motion estimation; Quantization; Statistical distributions; Testing; Video compression; Video sequences; DCT coefficient distributions; Three-dimensional discrete cosine transform; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4959703
  • Filename
    4959703