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

Biology

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