Investigation of mobile surroundings for visual attention based on image perception model
Jiazhong Chen, Yizhang Li, Yebin Fan, Weimin Wu, Xian Hui Wang, Hua Cao, Yang Chen · 2016
This paper presents a novel perspective of performance evaluation for visual attention estimation: how the saliency models perform in mobile conditions. In particular, a broad-spectrum contrast sensitivity function is firstly proposed in this work. Based on this function, a new visual perception model is established, which will be further used to simulate the image perception in various mobile circumstances. Then the influence caused by mobile surroundings for visual attention is investigated. Meanwhile three types of mobile ground truth are generated by collecting viewers' fixations in three typical mobile conditions. Finally, by the perception model and mobile ground truth, an evaluation for ten classical visual attention models in various mobile surroundings is presented.