NDLI: CBIR using Relevance Feedback: Comparative analysis and major challenges

Content Provider	IEEE Xplore Digital Library
Author	Belattar, K. Mostefai, S.
Copyright Year	2013
Description	Author affiliation: Comput. Sci. Dept., Mentouri Univ., Constantine, Algeria (Belattar, K.; Mostefai, S.)
Abstract	Nowadays, Content-Based Image Retrieval (CBIR) is the mainstay of image retrieval systems. To understand the query semantics and users' expectations so as to communicate faithful results in terms of accuracy, Relevance Feedback (RF) was incorporated to CBIR systems. By allowing the user to assess iteratively the answers as relevant/irrelevant or even giving him/her the opportunity to specify a degree of relevance (user's feedbacks), the system creates a new query that better captures the user's needs, hence raising the opportunity to get more relevant image results. In this paper, we have focused on CBIR and basic concepts pertaining to it, as well as Relevance Feedback and its various mechanisms. An important contribution in this work is a comparative analysis of CBIR systems using reference feedback: major models and approaches are discussed in detail from early heuristic methods to recently optimal learning algorithms, with more emphasize on their advantages and weaknesses.
Starting Page	317
Ending Page	325
File Size	305138
Page Count	9
File Format	PDF
ISBN	9781467358255
DOI	10.1109/CSIT.2013.6588798
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-03-27
Publisher Place	Jordan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radio frequency Support vector machines Accuracy Image retrieval Semantics learning algorithms Content Based Image Retrieval Classification algorithms Relevance Feedback heuristic approaches
Content Type	Text
Resource Type	Article

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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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