Evaluating visual aesthetics in photographic portraiture

  • Authors:
  • Shehroz S. Khan;Daniel Vogel

  • Affiliations:
  • University of Waterloo;University of Waterloo

  • Venue:
  • CAe '12 Proceedings of the Eighth Annual Symposium on Computational Aesthetics in Graphics, Visualization, and Imaging
  • Year:
  • 2012

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Abstract

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.