| A General Framework for Saliency Detection Methods |
| Paper ID : 1043-MVIP2020 |
| Authors |
|
fateme mostafaie *1, Zahra Nabizadeh2, Nader Karimi2, Shadrokh Samavi2 1none,none 2Department of Electrical and Computer Engineering, Isfahan University of Technology |
| Abstract |
| Saliency detection is one of the most challenging problems in the fields of image analysis and computer vision. Many approaches propose different architectures based on the psychological and biological properties of the human visual attention system. However, there is not still an abstract framework, which summarized the existed methods. In this paper, we offered a general framework for saliency models, which consists of five main steps: pre-processing, feature extraction, saliency map generation, saliency map combination, and post-processing. Also, we study different saliency models containing each level and compare their performance together. This framework helps researchers to have a comprehensive view of studying new methods. |
| Keywords |
| saliency detection, human visual attention system, salient objects, saliency map |
| Status: Accepted (Oral Presentation) |