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Multi-spectral dataset and its application in saliency detection
Wang, Qi; Zhu, Guokang; Yuan, Yuan
2013-12-01
发表期刊COMPUTER VISION AND IMAGE UNDERSTANDING
卷号117期号:12页码:1748-1754
摘要Saliency detection has been researched a lot in recent years. Traditional methods are mostly conducted and evaluated on conventional RGB images. Few work has considered the incorporation of multi-spectral clues. Considering the success of including near-infrared spectrum in applications such as face recognition and scene categorization, this paper presents a multi-spectral dataset and applies it in saliency detection. Experiments demonstrate that the incorporation of near-infrared band is effective in the saliency detection procedure. We also test the combinational models for integrating visible and near-infrared bands. Results show that there is no single model to effect on every saliency detection method. Models should be selected according to the specific employed method. (C) 2013 Elsevier Inc. All rights reserved.
文章类型Article
关键词Multi-spectral Near-infrared Saliency Regression Model
WOS标题词Science & Technology ; Technology
DOI10.1016/j.cviu.2013.07.002
收录类别SCI ; EI
关键词[WOS]VISUAL-ATTENTION ; REGION DETECTION ; COLOR ; IMAGES ; FEATURES ; OBJECTS ; MODEL
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000326136600010
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被引频次:31[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/23449
专题光谱成像技术研究室
作者单位Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China
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Wang, Qi,Zhu, Guokang,Yuan, Yuan. Multi-spectral dataset and its application in saliency detection[J]. COMPUTER VISION AND IMAGE UNDERSTANDING,2013,117(12):1748-1754.
APA Wang, Qi,Zhu, Guokang,&Yuan, Yuan.(2013).Multi-spectral dataset and its application in saliency detection.COMPUTER VISION AND IMAGE UNDERSTANDING,117(12),1748-1754.
MLA Wang, Qi,et al."Multi-spectral dataset and its application in saliency detection".COMPUTER VISION AND IMAGE UNDERSTANDING 117.12(2013):1748-1754.
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