Evaluating Visual Aesthetics in Photographic Portraiture

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dc.contributor.authorKhan, Shehroz S.en_US
dc.contributor.authorVogel, Danielen_US
dc.contributor.editorDouglas Cunningham and Donald Houseen_US
dc.date.accessioned2013-10-22T07:12:46Z
dc.date.available2013-10-22T07:12:46Z
dc.date.issued2012en_US
dc.description.abstractWe propose and demonstrate a strategy to quantify aesthetic quality in photographs. Our approach is to develop a small set of classification features by tuning general compositional principles to a targeted image domain where saliency can be better understood. We demonstrate this strategy with photographic portraits of individuals, but it can be extended to other domains. Our technique leverages a refined method of using templates as spatial composition feature look-up tables. Compared to the traditional approach using a large set of global and local features extracted with little salient knowledge, classifiers using features extracted with our approach are better predictors of human aesthetic judgments.en_US
dc.description.seriesinformationComputational Aesthetics in Graphics, Visualization, and Imagingen_US
dc.identifier.isbn978-3-905674-43-9en_US
dc.identifier.issn1816-0859en_US
dc.identifier.urihttps://doi.org/10.2312/COMPAESTH/COMPAESTH12/055-062en_US
dc.publisherThe Eurographics Associationen_US
dc.titleEvaluating Visual Aesthetics in Photographic Portraitureen_US
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CompAesth 12: Workshop on Computational Aesthetics