Perceptual uniform descriptor and ranking on manifold for image retrieval

doi:10.1016/j.ins.2017.10.010

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 机器人应用与理论组

	Perceptual uniform descriptor and ranking on manifold for image retrieval
	Liu, Shenglan 1,2,3; Wu, Jun 1; Feng, Lin 1; Qiao, Hong4,5 ; Liu, Yang 2; Luo, Wenbo 6; Wang, Wei 2
刊名	INFORMATION SCIENCES
	2018
卷号	424 期号:Supplement C 页码:235-249
关键词	Manifold Gestalt Psychology Perceptual Uniform Descriptor Ranking Image Retrieval
DOI	10.1016/j.ins.2017.10.010
文献子类	Article
英文摘要	Incompatibility of image descriptor and ranking has been often neglected in image retrieval. In this paper, Manifold Learning and Gestalt Psychology Theory are involved to solve the problem of incompatibility. A new holistic descriptor called Perceptual Uniform Descriptor (PUD) based on Gestalt psychology is proposed, which combines color and gradient direction to imitate human visual uniformity. PUD features in the same class images distributes on one manifold in most cases, as PUD improves the visual uniformity of the traditional descriptors. Thus, we use manifold ranking and PUD to realize image retrieval. Experiments were carried out on four benchmark data sets, and the proposed method is shown to greatly improve the accuracy of image retrieval. Our experimental results in Uk-bench and Corel-1K datasets demonstrate that N-S score reached 3.58 (HSV 3.4) and mAP at 81.77% (ODBTC 77.9%) respectively by utilizing PUD which has only 280 dimensions. The results are higher than other holistic image descriptors including local ones as well as state-of-the-arts retrieval methods. (C) 2017 Elsevier Inc. All rights reserved.
WOS关键词	NONLINEAR DIMENSIONALITY REDUCTION ; INVARIANT TEXTURE CLASSIFICATION ; LOCAL BINARY PATTERNS ; GRAY-SCALE ; COLOR ; FRAMEWORK ; HISTOGRAM ; FUSION
WOS研究方向	Computer Science
语种	英语
WOS记录号	WOS:000414889900014
资助机构	National Natural Science Foundation of P.R. China(61370200 ; State Key Laboratory of Software Architecture(SKLSAOP1701) ; 61210009 ; 61602082 ; 61672130)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/20102]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组
作者单位	1.Dalian Univ Technol, Sch Innovat & Entrepreneurship, Dalian 116024, Liaoning, Peoples R China 2.Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116024, Liaoning, Peoples R China 3.Neusoft Corporat, State Key Lab Software Architecture, Shenyang 110179, Liaoning, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 5.CAS Ctr Excellence Brain Sci & Intelligence Techn, Shanghai 200031, Peoples R China 6.Liaoning Normal Univ, Sch Comp Sci, Dalian 116081, Liaoning, Peoples R China
推荐引用方式 GB/T 7714	Liu, Shenglan,Wu, Jun,Feng, Lin,et al. Perceptual uniform descriptor and ranking on manifold for image retrieval[J]. INFORMATION SCIENCES,2018,424(Supplement C):235-249.
APA	Liu, Shenglan.,Wu, Jun.,Feng, Lin.,Qiao, Hong.,Liu, Yang.,...&Wang, Wei.(2018).Perceptual uniform descriptor and ranking on manifold for image retrieval.INFORMATION SCIENCES,424(Supplement C),235-249.
MLA	Liu, Shenglan,et al."Perceptual uniform descriptor and ranking on manifold for image retrieval".INFORMATION SCIENCES 424.Supplement C(2018):235-249.