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Eigenobject-wise saliency detection based on manifold ranking

文献类型：期刊论文

作者Jin, Guoqing2,3; Zhang, Dongming1; Dai, Feng2,3; Zhang, Yongdong4
刊名NEUROCOMPUTING
出版日期2018-03-15
卷号281页码:196-205
关键词Saliency detection Eigenimage Laplacian matrix Manifold ranking
ISSN号0925-2312
DOI10.1016/j.neucom.2017.12.009
英文摘要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.
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
语种英语
WOS记录号WOS:000424891600020
出版者ELSEVIER SCIENCE BV
源URL[http://119.78.100.204/handle/2XEOYT63/6167]  
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.Coordinat Ctr China, Natl Comp Network Emergency Response Tech Team, Beijing 100029, Peoples R China
2.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, 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.

入库方式： OAI收割

来源：计算技术研究所

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