NDLI: A semantic-based image retrieval system: VisEngine

Content Provider	IEEE Xplore Digital Library
Author	Jian-Yong Sun Zheng-Xing Sun Ruo-Hong Zhou Hui-Feng Wang
Copyright Year	2002
Description	Author affiliation: State Key Lab for Novel Software Technol., Nanjing Univ., China (Jian-Yong Sun; Zheng-Xing Sun; Ruo-Hong Zhou; Hui-Feng Wang)
Abstract	A semantic-based image retrieval system is proposed in which, prior to retrieval, main regions with plenty of semantic information are segmented from an image. Then a semantic visual template is created for these regions on the basis of weighted feature combination. These templates are stored in XML files. During retrieval, three kinds of query patterns are supplied for the user and a mining algorithm is proposed to find out which feature the user has interest in mostly in feedback images and which makes semantic information users give used adequately by the computer. Experimental results show good performance of the system based on 3400 images.
Sponsorship	Hebei Univ. IEEE Syst., Man & Cybernetics Tech. Committe on Cybernetics
Starting Page	349
Ending Page	353
File Size	359042
Page Count	5
File Format	PDF
ISBN	0780375084
DOI	10.1109/ICMLC.2002.1176772
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-11-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image retrieval Information retrieval Feedback Image segmentation Sections Humans Sun Image databases Data mining Regions
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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