Visual selective attention model considering bottom-up saliency and psychological distance

Authors:
Young-Min Jang;Sang-Woo Ban;Minho Lee
Affiliations:
School of Electronics Engineering, Kyungpook National University, Taegu, Korea;Dept. of Information and Communication Engineering, Dongguk University, Gyeongju, Gyeongbuk, Korea;School of Electronics Engineering, Kyungpook National University, Taegu, Korea
Venue:
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Year:
2010

Citing 5
Cited 0

Affective computing

Affective computing
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
Use of non-uniform spatial blur for image comparison: symmetry axis extraction

Neural Networks
2008 Special Issue: Stereo saliency map considering affective factors and selective motion analysis in a dynamic environment

Neural Networks
Affective saliency map considering psychological distance

Neurocomputing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Congruency or incongruency between a psychological distance and a spatial distance for given visual stimuli can affect reaction time to corresponding visual stimuli in the course of visual perception. Human reacts more rapidly for congruent stimuli than incongruent one. More rapid reaction to visual stimuli is related with higher selectivity property in terms of visual selective attention. Based on this psychological evidence, we propose a new visual selective attention model reflecting the congruency or incongruency between a psychological distance and a spatial distance of visual stimuli as well as bottom-up saliency generated by spatial relativity of primitive visual features. The proposed visual selective attention model can generate more human like visual scan path by considering a psychological factor, which can focus on congruent visual stimuli with higher priority than incongruent one.