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Evaluation automatique de la qualité esthétique des photographies à l’aide de descripteurs d’image génériques

Luca Marchesotti, Florent Perronnin, Diane Larlus, Gabriela Csurka, Loïc Michallon
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.
Conférence Reconnaissance des Formes et Intelligence Artificielle, Lyon, France, January 24-27, 2012.
2012
2011/051