Attentive Systems: A Survey

Tam V. Nguyen, Qi Zhao, Shuicheng Yan

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)86-110
Number of pages25
JournalInternational Journal of Computer Vision
Volume126
Issue number1
DOIs
StatePublished - Jan 1 2018

Keywords

  • Attentive systems
  • Compression
  • Computer graphics
  • Feature pooling
  • Image retargeting
  • Interestingness
  • Multimedia
  • Salient region/object detection
  • Scene understanding
  • Visual attention

Fingerprint

Dive into the research topics of 'Attentive Systems: A Survey'. Together they form a unique fingerprint.

Cite this