The Structure of Paintings
Proceedings of the 15th international conference on Multimedia
Distinguishing paintings from photographs
Computer Vision and Image Understanding
Ontology-based annotation of paintings using transductive inference framework
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Studying aesthetics in photographic images using a computational approach
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
In the eye of the beholder - perception of indeterminate art
Computational Aesthetics'07 Proceedings of the Third Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Image statistics for clustering paintings according to their visual appearance
Computational Aesthetics'09 Proceedings of the Fifth Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Aesthetic appraisal of art - from eye movements to computers
Computational Aesthetics'09 Proceedings of the Fifth Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
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The categorization of art (paintings, literature) into distinct styles such as expressionism, or surrealism has had a profound influence on how art is presented, marketed, analyzed, and historicized. Here, we present results from several perceptual experiments with the goal of determining whether such categories also have a perceptual foundation. Following experimental methods from perceptual psychology on category formation, naive, non-expert participants were asked to sort printouts of artworks from different art periods into categories. Converting these data into similarity data and running a multi-dimensional scaling (MDS) analysis, we found distinct perceptual categories which did in some cases correspond to canonical art periods. Initial results from a comparison with several computational algorithms for image analysis and scene categorization are also reported.