NDLI: Cluster-based relevance feedback for CBIR: a combination of query point movement and query expansion

Content Provider	Springer Nature Link
Author	Nguyen, Nhu Van Boucher, Alain Ogier, Jean Marc Tabbone, Salvatore
Copyright Year	2012
Abstract	This paper presents a cluster-based relevance feedback method, which combines two popular techniques of relevance feedback: query point movement and query expansion. Inspired from text retrieval, these two techniques are giving good results for image retrieval. But query point movement is limited by a constraint of unimodality in taking into account the user feedbacks. Query expansion gives better results than query point movement, but it cannot take into account irrelevant images from the user feedbacks. We combine the two techniques to profit from their advantages and to cope with their limitations. From a single point initial query, query expansion provides a multiple point query, which is then enhanced using query point movement. To learn the multiple point queries, the irrelevant feedback images are classified into query points which are clustered from relevant images using the query expansion technique. The experiments show that our method gives better results in comparison with the two techniques of relevance feedback taken individually.
Starting Page	281
Ending Page	292
Page Count	12
File Format	PDF
ISSN	18685137
Journal	Journal of Ambient Intelligence and Humanized Computing
Volume Number	3
Issue Number	4
e-ISSN	18685145
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-06-21
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Image retrieval Relevance feedback Query point movement Query expansion Artificial Intelligence (incl. Robotics) Robotics and Automation User Interfaces and Human Computer Interaction Computational Intelligence
Content Type	Text
Resource Type	Article
Subject	Computer Science

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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