Saliency Driven Image Manipulation
December 07, 2016 Β· Declared Dead Β· π Machine Vision and Applications
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Authors
Roey Mechrez, Eli Shechtman, Lihi Zelnik-Manor
arXiv ID
1612.02184
Category
cs.CV: Computer Vision
Citations
56
Venue
Machine Vision and Applications
Last Checked
3 months ago
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 achieve realistic looking results. Applications include object enhancement, distractors attenuation and background decluttering. Comparing our method to previous ones shows significant improvement, both in the achieved saliency manipulation and in the realistic appearance of the resulting images.
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