The 11th Iranian and the first International Conference on Machine Vision and Image Processing

A General Framework for Saliency Detection Methods

Fateme Mostafaie1, Zahra Nabizadeh1, Nader Karimi1, Shadrokh Samavi
The 11th Iranian and the first International Conference on Machine Vision and Image Processing (MVIP 2020)

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 existing 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



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