Skip to main content
Article
Attentive Systems: A Survey
International Journal of Computer Vision
  • Tam Nguyen, University of Dayton
  • Qi Zhao, University of Minnesota
  • Shuicheng Yan, National University of Singapore
Document Type
Article
Publication Date
1-1-2018
Abstract

Visual saliency analysis detects salient regions/objects that attract human attention in natural scenes. It has attracted intensive research in different fields such as computer vision, computer graphics, and multimedia. While many such computational models exist, the focused study of what and how applications can be beneficial is still lacking. In this article, our ultimate goal is thus to provide a comprehensive review of the applications using saliency cues, the so-called attentive systems. We would like to provide a broad vision about saliency applications and what visual saliency can do. We categorize the vast amount of applications into different areas such as computer vision, computer graphics, and multimedia. Intensively covering 200+ publications we survey (1) key application trends, (2) the role of visual saliency, and (3) the usability of saliency into different tasks.

Inclusive pages
86–110
ISBN/ISSN
0920-5691
Comments

Permission documentation on file.

Publisher
Springer
Peer Reviewed
Yes
Citation Information
Tam Nguyen, Qi Zhao and Shuicheng Yan. "Attentive Systems: A Survey" International Journal of Computer Vision Vol. 126 Iss. 1 (2018)
Available at: http://works.bepress.com/tam-nguyen/27/