@inproceedings{b454918137034b63a3ee10e9ccd8161c,
title = "Finding distractors in images",
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.",
author = "Ohad Fried and Eli Shechtman and Goldman, {Dan B.} and Adam Finkelstein",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015 ; Conference date: 07-06-2015 Through 12-06-2015",
year = "2015",
month = oct,
day = "14",
doi = "10.1109/CVPR.2015.7298779",
language = "English (US)",
series = "Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition",
publisher = "IEEE Computer Society",
pages = "1703--1712",
booktitle = "IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015",
address = "United States",
}