@inproceedings{f838b0f4d7af42829cb82158031d7a8b,
title = "Saliency Driven Image Manipulation",
abstract = "Have you ever taken a picture only to find out that an unimportant background object ended up being overly salient? Or one of those team sports photos where your favorite player blends with the rest? Wouldn't it be nice if you could tweak these pictures just a little bit so that the distractor would be attenuated and your favorite player will stand-out among her peers? Manipulating images in order to control the saliency of objects is the goal of this paper. We propose an approach that considers the internal color and saliency properties of the image. It changes the saliency map via an optimization framework that relies on patch-based manipulation using only patches from within the same image to maintain its appearance characteristics. Comparing our method to previous ones shows significant improvement, both in the achieved saliency manipulation and in the realistic appearance of the resulting images.",
author = "Roey Mechrez and Eli Shechtman and Lihi Zelnik-Manor",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 18th IEEE Winter Conference on Applications of Computer Vision, WACV 2018 ; Conference date: 12-03-2018 Through 15-03-2018",
year = "2018",
month = may,
day = "3",
doi = "10.1109/WACV.2018.00154",
language = "الإنجليزيّة",
series = "Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018",
pages = "1368--1376",
booktitle = "Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018",
}