slugResearch on Saliency Detection

Abstract

Saliency detection means detecting visually attracted regions in images. It is an aspect of exploring visual attention from a computer vision viewpoint. The human pays unequal attention to what is seen in the world. When looking at some images, people are usually attracted by some particular objects within the images. Other subjects appear uninteresting for them. This ability of withdraw from some things in order to deal effectively with others is called attention. Detecting these areas of attention is called saliency detection. Saliency detection has many applications, like object recognition, image segmentation, content-based retargeting, image retrieval, adaptive image display,and advertising design. This survey presents five papers that describes various methods used for saliency detection. Some of the selected papers uses multiple-instance learning technique for saliency detection. This survey also describes the avantages and disadvantages of papers.

Authors and Affiliations

Rainu R Padam

Keywords

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  • EP ID EP18020
  • DOI -
  • Views 313
  • Downloads 11

How To Cite

Rainu R Padam (2014). slugResearch on Saliency Detection. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(5), -. https://www.europub.co.uk/articles/-A-18020