PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Significance of the Weibull Distribution and Its Sub-Models in Natural Image Statistics
Victoria Yanulevskaya and Jan-Mark Geusebroek
In: International Conference on Computer Vision Theory and Applications(2009).

Abstract

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.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:6170
Deposited By:Christof Monz
Deposited On:08 March 2010