Assessing the aesthetic quality of photographs using generic image descriptors

Authors:
Luca Marchesotti;Florent Perronnin;Diane Larlus;Gabriela Csurka
Affiliations:
Textual and Visual Pattern Analysis (TVPA), Xerox Research Centre Europe (XRCE), France;Textual and Visual Pattern Analysis (TVPA), Xerox Research Centre Europe (XRCE), France;Textual and Visual Pattern Analysis (TVPA), Xerox Research Centre Europe (XRCE), France;Textual and Visual Pattern Analysis (TVPA), Xerox Research Centre Europe (XRCE), France
Venue:
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Year:
2011

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Abstract

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.