Finding Distractors in Images

Ohad Fried, Eli Shechtman, Dan B. Goldman, Adam Finkelstein

CVPR 2015

doi:10.1109/CVPR.2015.7298779 /cvpr/2015/fried2015cvpr-finding/

Abstract

We propose a new computer vision task we call "distractor prediction." Distractors are the regions of an image that draw attention away from the main subjects and reduce the overall image quality. Removing distractors --- for example, using in-painting --- can improve the composition of an image. In this work we created two datasets of images with user annotations to identify the characteristics of distractors. We use these datasets to train an algorithm to predict distractor maps. Finally, we use our predictor to automatically enhance images.

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Cite

Text

Fried et al. "Finding Distractors in Images." Conference on Computer Vision and Pattern Recognition, 2015. doi:10.1109/CVPR.2015.7298779

Markdown

[Fried et al. "Finding Distractors in Images." Conference on Computer Vision and Pattern Recognition, 2015.](https://mlanthology.org/cvpr/2015/fried2015cvpr-finding/) doi:10.1109/CVPR.2015.7298779

BibTeX

@inproceedings{fried2015cvpr-finding,
  title     = {{Finding Distractors in Images}},
  author    = {Fried, Ohad and Shechtman, Eli and Goldman, Dan B. and Finkelstein, Adam},
  booktitle = {Conference on Computer Vision and Pattern Recognition},
  year      = {2015},
  doi       = {10.1109/CVPR.2015.7298779},
  url       = {https://mlanthology.org/cvpr/2015/fried2015cvpr-finding/}
}