期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2012
卷号：3
期号：4
页码：4818-4822
出版社：TechScience Publications
摘要：Accuracy enhancement of Content Based Image Retrieval System as well as reduction in semantic gap can be efficiently achieved with the help of Relevance Feedback. Many schemes and techniques of relevance feedback exist with many assumptions and operating criteria. In this paper, we have given a brief overview of recent techniques used for implementing relevance feedback in CBIR. This paper also discusses some of the key issues involved in the adaptation of existing image retrieval techniques to build useful systems that can handle real-world data as well as the advantages of each technique.
关键词：Content based image retrieval; relevance;feedback; feature vector; query point; itemset.
