Recognizing Image Style

@article{Karayev2014RecognizingIS,
  title={Recognizing Image Style},
  author={S. Karayev and Matthew Trentacoste and Helen Han and A. Agarwala and Trevor Darrell and Aaron Hertzmann and H. Winnem{\"o}ller},
  journal={ArXiv},
  year={2014},
  volume={abs/1311.3715}
}
  • S. Karayev, Matthew Trentacoste, +4 authors H. Winnemöller
  • Published 2014
  • Computer Science
  • ArXiv
  • The style of an image plays a significant role in how it is viewed, but style has received little attention in computer vision research. We describe an approach to predicting style of images, and perform a thorough evaluation of different image features for these tasks. We find that features learned in a multi-layer network generally perform best -- even when trained with object class (not style) labels. Our large-scale learning methods results in the best published performance on an existing… CONTINUE READING
    313 Citations

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