文章基本信息

标题：Comparison and Analysis of Content Based Image Retrieval Systems Based On Relevance Feedback
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作者：Latika Pinjarkar ; Manisha Sharma ; Kamal Mehta 等
期刊名称：Journal of Emerging Trends in Computing and Information Sciences
电子版ISSN：2079-8407
出版年度：2012
卷号：3
期号：6
页码：833-837
出版社：ARPN Publishers
摘要：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.
关键词：Content-based image retrieval; relevance feedback; precision; accuracy