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A General Framework for Saliency Detection Methods

2022-12-02 00:01:42
Fateme Mostafaie, Zahra Nabizadeh, Nader Karimi, Shadrokh Samavi
arXiv_CV
           
Abstract

Saliency detection is one of the most challenging problems in 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 still no abstract framework that summarizes 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. This framework helps researchers to have a comprehensive view of studying new methods.

Abstract (translated)

URL

https://arxiv.org/abs/1912.12027

PDF

https://arxiv.org/pdf/1912.12027.pdf

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