Predator-Prey Biogeography-Based Optimization for Bio-inspired Visual Attention

Visual attention mechanism is one of the important techniques in computer vision field, and it can increase the effectiveness of computer image information processing. Biogeography-Based Optimization (BBO) is a bioinspired algorithm for global optimization, searching for the global optimum mainly th...

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Main Authors: Xiaohua Wang, Haibin Duan
Format: Article
Language:English
Published: Springer 2013-12-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/25868448.pdf
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author Xiaohua Wang
Haibin Duan
author_facet Xiaohua Wang
Haibin Duan
author_sort Xiaohua Wang
collection DOAJ
description Visual attention mechanism is one of the important techniques in computer vision field, and it can increase the effectiveness of computer image information processing. Biogeography-Based Optimization (BBO) is a bioinspired algorithm for global optimization, searching for the global optimum mainly through two steps: migration and mutation. In this paper, a novel Predator-Prey Biogeography-Based Optimization (PPBBO) is utilized to solve the bio-inspired visual attention problem. In PPBBO method, BBO is combined with the mechanism of predatorprey, which can enhance the global convergence of the algorithm. The convergence property of the PPBBO is analyzed theoretically, and the detailed process is also given. Comparative experimental results with basic BBO, CBBO, CPPBBO, and Particle Swarm Optimization (PSO) demonstrate the feasibility and effectiveness of our presented PPBBO for adjusting combination of feature maps in visual attention.
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spelling doaj.art-25dfad78969b484aaf34ed5b7f2bf9182022-12-22T02:56:28ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832013-12-016610.1080/18756891.2013.820957Predator-Prey Biogeography-Based Optimization for Bio-inspired Visual AttentionXiaohua WangHaibin DuanVisual attention mechanism is one of the important techniques in computer vision field, and it can increase the effectiveness of computer image information processing. Biogeography-Based Optimization (BBO) is a bioinspired algorithm for global optimization, searching for the global optimum mainly through two steps: migration and mutation. In this paper, a novel Predator-Prey Biogeography-Based Optimization (PPBBO) is utilized to solve the bio-inspired visual attention problem. In PPBBO method, BBO is combined with the mechanism of predatorprey, which can enhance the global convergence of the algorithm. The convergence property of the PPBBO is analyzed theoretically, and the detailed process is also given. Comparative experimental results with basic BBO, CBBO, CPPBBO, and Particle Swarm Optimization (PSO) demonstrate the feasibility and effectiveness of our presented PPBBO for adjusting combination of feature maps in visual attention.https://www.atlantis-press.com/article/25868448.pdfBiogeography-Based Optimization (BBO)visual attentionsaliencyfeature combinationpredator-prey
spellingShingle Xiaohua Wang
Haibin Duan
Predator-Prey Biogeography-Based Optimization for Bio-inspired Visual Attention
International Journal of Computational Intelligence Systems
Biogeography-Based Optimization (BBO)
visual attention
saliency
feature combination
predator-prey
title Predator-Prey Biogeography-Based Optimization for Bio-inspired Visual Attention
title_full Predator-Prey Biogeography-Based Optimization for Bio-inspired Visual Attention
title_fullStr Predator-Prey Biogeography-Based Optimization for Bio-inspired Visual Attention
title_full_unstemmed Predator-Prey Biogeography-Based Optimization for Bio-inspired Visual Attention
title_short Predator-Prey Biogeography-Based Optimization for Bio-inspired Visual Attention
title_sort predator prey biogeography based optimization for bio inspired visual attention
topic Biogeography-Based Optimization (BBO)
visual attention
saliency
feature combination
predator-prey
url https://www.atlantis-press.com/article/25868448.pdf
work_keys_str_mv AT xiaohuawang predatorpreybiogeographybasedoptimizationforbioinspiredvisualattention
AT haibinduan predatorpreybiogeographybasedoptimizationforbioinspiredvisualattention