Evaluating Visual Aesthetics in Photographic Portraiture

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Shehroz S. Khan, Daniel Vogel: Evaluating Visual Aesthetics in Photographic Portraiture. In: Douglas W. Cunningham, Donald H. House (Eds.): Workshop on Computational Aesthetics, 2012. 55-62




We 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.

Extended Abstract


author = {Khan, Shehroz S. and Vogel, Daniel},
title = {Evaluating Visual Aesthetics in Photographic Portraiture},
booktitle = {Proceedings of the Eighth Annual Symposium on Computational Aesthetics in Graphics, Visualization, and Imaging},
series = {CAe '12},
year = {2012},
isbn = {978-1-4503-1584-5},
location = {Annecy, France},
pages = {55--62},
numpages = {8},
url = {http://dl.acm.org/citation.cfm?id=2328888.2328898, http://de.evo-art.org/index.php?title=Evaluating_Visual_Aesthetics_in_Photographic_Portraiture },
acmid = {2328898},
publisher = {Eurographics Association},
address = {Aire-la-Ville, Switzerland, Switzerland},

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