Modeling Bottom-Up Visual Attention Using Dihedral Group D4 §

In this paper, first, we briefly describe the dihedral group D 4 that serves as the basis for calculating saliency in our proposed model. Second, our saliency model makes two major changes in a latest state-of-the-art model known as group-based asymmetry. First, based on the properties of th...

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Main Author: Puneet Sharma
Format: Article
Language:English
Published: MDPI AG 2016-08-01
Series:Symmetry
Subjects:
Online Access:http://www.mdpi.com/2073-8994/8/8/79
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author Puneet Sharma
author_facet Puneet Sharma
author_sort Puneet Sharma
collection DOAJ
description In this paper, first, we briefly describe the dihedral group D 4 that serves as the basis for calculating saliency in our proposed model. Second, our saliency model makes two major changes in a latest state-of-the-art model known as group-based asymmetry. First, based on the properties of the dihedral group D 4 , we simplify the asymmetry calculations associated with the measurement of saliency. This results is an algorithm that reduces the number of calculations by at least half that makes it the fastest among the six best algorithms used in this research article. Second, in order to maximize the information across different chromatic and multi-resolution features, the color image space is de-correlated. We evaluate our algorithm against 10 state-of-the-art saliency models. Our results show that by using optimal parameters for a given dataset, our proposed model can outperform the best saliency algorithm in the literature. However, as the differences among the (few) best saliency models are small, we would like to suggest that our proposed model is among the best and the fastest among the best. Finally, as a part of future work, we suggest that our proposed approach on saliency can be extended to include three-dimensional image data.
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spelling doaj.art-c0e5f8db8659429b995f370d31449af22022-12-22T02:18:48ZengMDPI AGSymmetry2073-89942016-08-01887910.3390/sym8080079sym8080079Modeling Bottom-Up Visual Attention Using Dihedral Group D4 §Puneet Sharma0Department of Engineering & Safety (IIS-IVT), UiT-The Arctic University of Norway, Tromsø-9037, NorwayIn this paper, first, we briefly describe the dihedral group D 4 that serves as the basis for calculating saliency in our proposed model. Second, our saliency model makes two major changes in a latest state-of-the-art model known as group-based asymmetry. First, based on the properties of the dihedral group D 4 , we simplify the asymmetry calculations associated with the measurement of saliency. This results is an algorithm that reduces the number of calculations by at least half that makes it the fastest among the six best algorithms used in this research article. Second, in order to maximize the information across different chromatic and multi-resolution features, the color image space is de-correlated. We evaluate our algorithm against 10 state-of-the-art saliency models. Our results show that by using optimal parameters for a given dataset, our proposed model can outperform the best saliency algorithm in the literature. However, as the differences among the (few) best saliency models are small, we would like to suggest that our proposed model is among the best and the fastest among the best. Finally, as a part of future work, we suggest that our proposed approach on saliency can be extended to include three-dimensional image data.http://www.mdpi.com/2073-8994/8/8/79image analysissaliency
spellingShingle Puneet Sharma
Modeling Bottom-Up Visual Attention Using Dihedral Group D4 §
Symmetry
image analysis
saliency
title Modeling Bottom-Up Visual Attention Using Dihedral Group D4 §
title_full Modeling Bottom-Up Visual Attention Using Dihedral Group D4 §
title_fullStr Modeling Bottom-Up Visual Attention Using Dihedral Group D4 §
title_full_unstemmed Modeling Bottom-Up Visual Attention Using Dihedral Group D4 §
title_short Modeling Bottom-Up Visual Attention Using Dihedral Group D4 §
title_sort modeling bottom up visual attention using dihedral group d4 §
topic image analysis
saliency
url http://www.mdpi.com/2073-8994/8/8/79
work_keys_str_mv AT puneetsharma modelingbottomupvisualattentionusingdihedralgroupd4