• DocumentCode
    1564864
  • Title

    Removing Redundancy in Multi-Resolution Scalable Video Coding Schemes

  • Author

    Boisson, G. ; Francois, E.

  • Author_Institution
    Thomson R&D France, Cesson-Sevigne, France
  • fYear
    2006
  • Firstpage
    189
  • Lastpage
    192
  • Abstract
    Nowadays standard technologies for spatially scalable video coding use Gaussian pyramidal approaches, that naturally lead to redundant descriptions after the temporal analysis. However solutions have been proposed to preserve the critical sampling criterion within a multi-resolution framework. That research area is highly worth the interest since the redundancy suppression potentially improves compression efficiency. We focus here on two different solutions, with a special focus on the spectral composition of the transmitted information. Last some results are presented and discussed.
  • Keywords
    Gaussian processes; image resolution; image sampling; spectral analysis; video coding; Gaussian pyramidal approach; critical sampling criterion; multiresolution scalable video coding scheme; redundancy suppression; spectral composition; temporal analysis; Filtering; Iterative methods; Research and development; Sampling methods; Scalability; Spatial resolution; Tin; Video coding; Video compression; Wavelet transforms; Video coding; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2006 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1522-4880
  • Print_ISBN
    1-4244-0480-0
  • Type

    conf

  • DOI
    10.1109/ICIP.2006.312452
  • Filename
    4106498