Significance of the Weibull Distribution and Its Sub-Models in Natural Image Statistics

Victoria Yanulevskaya, Jan-Mark Geusebroek
International Conference on Computer Vision Theory and Applications, page 355-362, 2009
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The contrast statistics of natural images can be adequately characterized by a two-parameter Weibull distribution. Here we show how distinct regimes of this Weibull distribution lead to various classes of visual content. These regimes can be determined using model selection techniques from information theory. We experimentally explore the occurrence of the content classes, as related to the global statistics, local statistics, and to human attended regions. As such, we explicitly link local image statistics and visual content.

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See also

Best student paper award

BibTex references

@InProceedings{YanulevskayaICCVTA2009,
  author       = "Yanulevskaya, V. and Geusebroek, J. M.",
  title        = "Significance of the Weibull Distribution and Its Sub-Models in Natural Image Statistics",
  booktitle    = "International Conference on Computer Vision Theory and Applications",
  pages        = "355--362",
  year         = "2009",
  url          = "http://www.science.uva.nl/research/publications/2009/YanulevskayaICCVTA2009"
}

Other publications in the database

» Victoria Yanulevskaya
» Jan-Mark Geusebroek