Perceptual and Computational Categories in Art

dc.contributor.authorWallraven, Christianen_US
dc.contributor.authorCunningham, Douglas W.en_US
dc.contributor.authorFleming, Rolanden_US
dc.contributor.editorDouglas W. Cunningham and Victoria Interrante and Paul Brown and Jon McCormacken_US
dc.date.accessioned2013-10-22T07:38:43Z
dc.date.available2013-10-22T07:38:43Z
dc.date.issued2008en_US
dc.description.abstractThe 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.en_US
dc.description.seriesinformationComputational Aesthetics in Graphics, Visualization, and Imagingen_US
dc.identifier.isbn978-3-905674-08-8en_US
dc.identifier.issn1816-0859en_US
dc.identifier.urihttps://doi.org/10.2312/COMPAESTH/COMPAESTH08/131-138en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): J.4 [Computer Application]: Social and Behavioural Sciences Psychology; J.5 [Computer Application]: Arts and Humanities Fine artsen_US
dc.titlePerceptual and Computational Categories in Arten_US
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