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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Comparison and Analysis of Content Based Image Retrieval Systems Based On Relevance Feedback

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Author Latika Pinjarkar, Manisha Sharma, Kamal Mehta
ISSN 2079-8407
On Pages 833-837
Volume No. 3
Issue No. 6
Issue Date June 01, 2012
Publishing Date June 01, 2012
Keywords Content-based image retrieval, relevance feedback, precision, accuracy


Abstract

Content-based image retrieval has become one of the most active research areas in the past few years. In this paper various methodologies used in the research area of Content Based Image Retrieval techniques using Relevance Feedback are discussed. The comparison and analysis of these methods is done. Relevance feedback techniques were incorporated into Content-based image retrieval for obtaining more precise results. This is an open research area for the researchers in the field of Content-based image retrieval. The paper covers various relevance feedback techniques for Content Based Image Retrieval systems, the parameters used for experimental evaluation of the systems and the analysis of these techniques on the basis of their results.  

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