Indiana University Bloomington

School of Informatics and Computing

Technical Report TR565:
Visual Properties Differentiating Art from Real Scenes

Alex Leykin, Florin Cutzu and Riad Hammoud
(Jul 2002), 40 pages
[Paper revised, October 18, 2002]
Abstract:
We addressed the problem of automatically differentiating photographs of real scenes from photographs of paintings. We found that photographs differ from paintings in their color, edge, and texture properties. Based on these features, we trained a classifier to separate a database of $12,000$ images downloaded from the web into photographs and paintings. Single features result in 70-83% performance, whereas with a neural net classifier correct rates were around 92%.

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