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摘要
Due to the extensive use of images in various fields, using effective approaches to retrieve the most related images given, a query image is of great importance. Content-based image retrieval is the approach commonly used to address this issue. The content-based image retrieval systems use many techniques to provide more accurate and comprehensive answers, among which, is relevance feedback. Relevance feedback is used by the system to help it retrieve more relevant images in response to a query. In this paper, we have proposed a novel relevance feedback method that is able to improve the precision of the content-based retrieval systems. The proposed method is based on multi-query relevance feedback, and similarity function refinement.
- 出版日期2016
