• DocumentCode
    1964250
  • Title

    Foveated video image analysis and compression gain measurements

  • Author

    Lee, Sanghoon ; Bovik, Alan C.

  • Author_Institution
    Wireless Networks, Lucent Technol., Mount Olive, NJ, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    63
  • Lastpage
    67
  • Abstract
    We present a framework for assessing the quality of, and determining the efficiency of foveated and compressed images and video streams. We develop unique algorithms for assessing the quality of foveated image/video data. By interpreting foveation as a coordinate transformation, we analyze the increase in compression efficiency that is afforded by our foveation approach. We demonstrate these concepts on foveated, compressed video streams using modified (foveated) versions of H.263 that are standards-compliant. In the simulations, quality versus compression is enhanced considerably by the foveation approach. We obtain compression gains ranging from 8% to 52% for I pictures and from 7% to 68% for P pictures
  • Keywords
    data compression; video coding; H.263 standard; I pictures; P pictures; coordinate transformation; foveated images; gain measurements; image quality; video compression gain; video image analysis; video streams; Frequency; Gain measurement; Humans; Image analysis; Image coding; Image resolution; PSNR; Signal to noise ratio; Streaming media; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Interpretation, 2000. Proceedings. 4th IEEE Southwest Symposium
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-7695-0595-3
  • Type

    conf

  • DOI
    10.1109/IAI.2000.839572
  • Filename
    839572