Effects selection technique via visual saliency map

Natsumi Suzuki, Yohei Nakada

Research output: Contribution to journalArticle


This paper proposes an effects selection technique via a visual saliency map to improve visual attraction of an object in a target image. The proposed technique considers an optimization problem to construct an effect sequence for editing the target image by using an effect set the elements of which are frequently used by image designers and/or image editors. This optimization problem is formulated with an objective function calculated via a saliency map and a constraint condition concerning an image distance between the original image and the edited image. A heuristic method based on a greedy algorithm is applied to obtain an approximate solution. Thus, the proposed technique is expected to improve visual attraction of the target object without imparting a large sense of incongruity to viewers within reasonable computational time. For a validation, the proposed technique is applied to 16 examples. In addition, these results are evaluated via a subjective evaluation based on a question survey and an objective evaluation using an eye-tracking system.

Original languageEnglish
Pages (from-to)498-509
Number of pages12
JournalJournal of the Institute of Image Electronics Engineers of Japan
Issue number4
Publication statusPublished - 1 Jan 2017


  • Constrained optimization problem
  • Effects selection
  • Heuristics
  • Image editing
  • Visual saliency map

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