Inherent Importance of Early Visual Features in Attraction of Human Attention
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 huma...
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Series: | Computational Intelligence and Neuroscience |
Online Access: | http://dx.doi.org/10.1155/2020/3496432 |
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doaj-ef3f105a61f44373beb618ed809c31c62021-01-04T00:00:40ZengHindawi LimitedComputational Intelligence and Neuroscience1687-52732020-01-01202010.1155/2020/3496432Inherent Importance of Early Visual Features in Attraction of Human AttentionReza Eghdam0Reza Ebrahimpour1Iman Zabbah2Sajjad Zabbah3Faculty of Computer EngineeringFaculty of Computer EngineeringDepartment of ComputerSchool of Cognitive Sciences (SCS)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.http://dx.doi.org/10.1155/2020/3496432 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Reza Eghdam Reza Ebrahimpour Iman Zabbah Sajjad Zabbah |
spellingShingle |
Reza Eghdam Reza Ebrahimpour Iman Zabbah Sajjad Zabbah Inherent Importance of Early Visual Features in Attraction of Human Attention Computational Intelligence and Neuroscience |
author_facet |
Reza Eghdam Reza Ebrahimpour Iman Zabbah Sajjad Zabbah |
author_sort |
Reza Eghdam |
title |
Inherent Importance of Early Visual Features in Attraction of Human Attention |
title_short |
Inherent Importance of Early Visual Features in Attraction of Human Attention |
title_full |
Inherent Importance of Early Visual Features in Attraction of Human Attention |
title_fullStr |
Inherent Importance of Early Visual Features in Attraction of Human Attention |
title_full_unstemmed |
Inherent Importance of Early Visual Features in Attraction of Human Attention |
title_sort |
inherent importance of early visual features in attraction of human attention |
publisher |
Hindawi Limited |
series |
Computational Intelligence and Neuroscience |
issn |
1687-5273 |
publishDate |
2020-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2020/3496432 |
work_keys_str_mv |
AT rezaeghdam inherentimportanceofearlyvisualfeaturesinattractionofhumanattention AT rezaebrahimpour inherentimportanceofearlyvisualfeaturesinattractionofhumanattention AT imanzabbah inherentimportanceofearlyvisualfeaturesinattractionofhumanattention AT sajjadzabbah inherentimportanceofearlyvisualfeaturesinattractionofhumanattention |
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