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...

Full description

Bibliographic Details
Main Authors: Reza Eghdam, Reza Ebrahimpour, Iman Zabbah, Sajjad Zabbah
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Computational Intelligence and Neuroscience
Online Access:http://dx.doi.org/10.1155/2020/3496432
id doaj-ef3f105a61f44373beb618ed809c31c6
record_format Article
spelling 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
_version_ 1714959897966149632