• DocumentCode
    433221
  • Title

    A fine-structure image/video quality measure using local statistics

  • Author

    Kim, Kyungnam ; Davis, Larry

  • Author_Institution
    Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA
  • Volume
    5
  • fYear
    2004
  • fDate
    24-27 Oct. 2004
  • Firstpage
    3535
  • Abstract
    An objective no-reference measure is presented to assess line-structure image/video quality. It was designed to measure image/video quality for video surveillance applications, especially for background modeling and foreground object detection. The proposed measure using local statistics reflects image degradation well in terms of noise and blur. The experimental results on a background subtraction algorithm validate the usefulness of the proposed measure, by showing its correlation with the algorithm´s performance.
  • Keywords
    object detection; statistics; surveillance; video signal processing; background modeling; background subtraction algorithm; foreground object detection; image degradation; line-structure image quality measure; line-structure video quality measure; local statistics; objective no-reference measure; video surveillance; Cameras; Degradation; Distortion measurement; Fluctuations; Humans; Layout; Pixel; Statistics; Video compression; Video surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2004. ICIP '04. 2004 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-8554-3
  • Type

    conf

  • DOI
    10.1109/ICIP.2004.1421879
  • Filename
    1421879