Assessing the aesthetic quality of photographs using generic image descriptors
Luca Marchesotti, Florent Perronnin, Diane Larlus, Gabriela Csurka
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.
ICCV, Barcelona, Spain, 6-13 November, 2011.