Eigenobject-wise saliency detection based on manifold ranking

doi:10.1016/j.neucom.2017.12.009

	Eigenobject-wise saliency detection based on manifold ranking
	Jin, Guoqing 1,2; Zhang, Dongming 3; Dai, Feng 1,2; Zhang, Yongdong 4
	2018-03-15
发表期刊	NEUROCOMPUTING
ISSN	0925-2312
卷号	281 页码:196-205
摘要	Saliency detection that utilizes graph model has achieved considerable progress during the past years. However, few methods consider object cues. We propose a novel manifold ranking based graph model that estimates the saliency of the image elements via their relevances to object seeds. An "eigenimage" selection algorithm dependent on the solved eigenvectors of the normalized Laplacian matrix is proposed to generate the object-wise seeds. Meanwhile, we propose a foreground border blanking approach to settle the failure of boundary prior saliency when object regions touching the border. Extensive experiments on benchmark datasets indicate that our algorithm could further improve the performance of representative graph-based saliency detection methods. (C) 2017 Elsevier B.V. All rights reserved.
关键词	Saliency detection Eigenimage Laplacian matrix Manifold ranking
DOI	10.1016/j.neucom.2017.12.009
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Plan of China[2016YFB0801203] ; National Key Research and Development Plan of China[2016YFB0801200] ; National Natural Science Foundation of China[61672495] ; National Natural Science Foundation of China[61771458] ; National Natural Science Foundation of China[61671069] ; National Natural Science Foundation of China[61673247] ; Key Research Program of the Chinese Academy of Sciences[KFZD-SW-407]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000424891600020
出版者	ELSEVIER SCIENCE BV
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/6168
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhang, Dongming
作者单位	1.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 3.Coordinat Ctr China, Natl Comp Network Emergency Response Tech Team, Beijing 100029, Peoples R China 4.Univ Sci & Technol China, Hefei 230026, Anhui, Peoples R China
推荐引用方式 GB/T 7714	Jin, Guoqing,Zhang, Dongming,Dai, Feng,et al. Eigenobject-wise saliency detection based on manifold ranking[J]. NEUROCOMPUTING,2018,281:196-205.
APA	Jin, Guoqing,Zhang, Dongming,Dai, Feng,&Zhang, Yongdong.(2018).Eigenobject-wise saliency detection based on manifold ranking.NEUROCOMPUTING,281,196-205.
MLA	Jin, Guoqing,et al."Eigenobject-wise saliency detection based on manifold ranking".NEUROCOMPUTING 281(2018):196-205.