Inherent Importance of Early Visual Features in Attraction of Human Attention
Joint Authors
Eghdam, Reza
Ebrahimpour, Reza
Zabbah, Iman
Zabbah, Sajjad
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-22
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Local contrasts attract human attention to different areas of an image.
Studies have shown that orientation, color, and intensity are some basic visual features which their contrasts attract our attention.
Since these features are in different modalities, their contribution in the attraction of human attention is not easily comparable.
In this study, we investigated the importance of these three features in the attraction of human attention in synthetic and natural images.
Choosing 100% percent detectable contrast in each modality, we studied the competition between different features.
Psychophysics results showed that, although single features can be detected easily in all trials, when features were presented simultaneously in a stimulus, orientation always attracts subject’s attention.
In addition, computational results showed that orientation feature map is more informative about the pattern of human saccades in natural images.
Finally, using optimization algorithms we quantified the impact of each feature map in construction of the final saliency map.
American Psychological Association (APA)
Eghdam, Reza& Ebrahimpour, Reza& Zabbah, Iman& Zabbah, Sajjad. 2020. Inherent Importance of Early Visual Features in Attraction of Human Attention. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1138742
Modern Language Association (MLA)
Eghdam, Reza…[et al.]. Inherent Importance of Early Visual Features in Attraction of Human Attention. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1138742
American Medical Association (AMA)
Eghdam, Reza& Ebrahimpour, Reza& Zabbah, Iman& Zabbah, Sajjad. Inherent Importance of Early Visual Features in Attraction of Human Attention. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1138742
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138742