Assessing the aesthetic quality of photographs using generic image descriptors

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Marchesotti, L., Perronnin, F., Larlus, D., Csurka, G.: Assessing the aesthetic quality of photographs using generic image descriptors. In: Computer Vision (ICCV) 2011 IEEE International Conference on, IEEE (2011) 1784-1791



In this paper, we automatically assess the aesthetic properties of images. In the past, this problem has been addressed by hand-crafting features which would correlate with best photographic practices (e.g. “Does this image respect the rule of thirds?”) or with photographic techniques (e.g. “Is this image a macro?”). We depart from this line of research and propose to use generic image descriptors to assess aesthetic quality. We experimentally show that the descriptors we use, which aggregate statistics computed from low-level local features, implicitly encode the aesthetic properties explicitly used by state-of-the-art methods and outperform them by a significant margin.

Extended Abstract


author={L. Marchesotti and F. Perronnin and D. Larlus and G. Csurka},
booktitle={2011 International Conference on Computer Vision},
title={Assessing the aesthetic quality of photographs using generic image descriptors},
keywords={feature extraction;image classification;photography;statistical analysis;binary classification problem;generic image descriptors;hand-crafting features;image quality assessment;low-level local features;photograph aesthetic quality assessment;photographic techniques;statistic aggregation;Accuracy;Feature extraction;Histograms;Image color analysis;Layout;Semantics;Visualization},

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