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Assessing the Aesthetic Quality of Photographs Using Generic Image Descriptors

Luca Marchesotti, Florent Perronnin, Diane Larlus, Gabriela Csurka
ICCV 2011 pp. 1784-1791
doi:10.1109/ICCV.2011.6126444 /iccv/2011/marchesotti2011iccv-assessing/

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.

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Cite

Text

Marchesotti et al. "Assessing the Aesthetic Quality of Photographs Using Generic Image Descriptors." IEEE/CVF International Conference on Computer Vision, 2011. doi:10.1109/ICCV.2011.6126444

Markdown

[Marchesotti et al. "Assessing the Aesthetic Quality of Photographs Using Generic Image Descriptors." IEEE/CVF International Conference on Computer Vision, 2011.](https://mlanthology.org/iccv/2011/marchesotti2011iccv-assessing/) doi:10.1109/ICCV.2011.6126444

BibTeX

@inproceedings{marchesotti2011iccv-assessing,
  title     = {{Assessing the Aesthetic Quality of Photographs Using Generic Image Descriptors}},
  author    = {Marchesotti, Luca and Perronnin, Florent and Larlus, Diane and Csurka, Gabriela},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2011},
  pages     = {1784-1791},
  doi       = {10.1109/ICCV.2011.6126444},
  url       = {https://mlanthology.org/iccv/2011/marchesotti2011iccv-assessing/}
}