Saliency driven image manipulation

Roey Mechrez, Eli Shechtman, Lihi Zelnik-Manor

Research output: Contribution to journalArticlepeer-review

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 photographs 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 with previous ones shows significant improvement, both in the achieved saliency manipulation and in the realistic appearance of the resulting images.

Original languageEnglish
Pages (from-to)189-202
Number of pages14
JournalMachine Vision and Applications
Volume30
Issue number2
DOIs
StatePublished - 4 Mar 2019

Keywords

  • Attention retargeting
  • Image editing
  • Manipulation
  • Saliency

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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