• DocumentCode
    1740777
  • Title

    On the compression of image based rendering scene

  • Author

    Li, Jin ; Shum, Hany ; Zhang, Ya-Qin

  • Author_Institution
    SF Rs. Beijing Sigma Center, Microsoft Res., Beijing, China
  • Volume
    2
  • fYear
    2000
  • fDate
    10-13 Sept. 2000
  • Firstpage
    21
  • Abstract
    In image based rendering (IBR), a 3D scene is recorded through a set of photos, and a novel view is rendered by assembling data from the photo set. Compression is essential to reduce the huge data amount of IBR. We examine three categories of IBR compression algorithms: the block coder, the reference coder and the high dimensional transform (wavelet) coder. It is observed that the block coder consumes the least computation resource, however, its compression ratio is low. The reference coder achieves a good compression ratio with reasonable computation complexity. The high dimensional wavelet coder achieves the best compression ratio, however, it is also the most complex.
  • Keywords
    image coding; rendering (computer graphics); transform coding; vector quantisation; wavelet transforms; 3D scene; IBR; IBR compression algorithms; block coder; compression ratio; computation complexity; high dimensional transform coder; high dimensional wavelet coder; image based rendering; image based rendering scene compression; photos; reference coder; spatial vector quantization; Assembly; Block codes; Cameras; Compression algorithms; Image coding; Image resolution; Layout; Optical recording; Rendering (computer graphics); Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2000. Proceedings. 2000 International Conference on
  • Conference_Location
    Vancouver, BC, Canada
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-6297-7
  • Type

    conf

  • DOI
    10.1109/ICIP.2000.899214
  • Filename
    899214