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论文类型：期刊论文

发表时间：2012-10-01

发表刊物：Journal of Theoretical and Applied Information Technology

收录刊物：EI、Scopus

卷号：44

期号：2

页面范围：189-196

ISSN号：19928645

摘要：Content-based Image Retrieval (CBIR) using relevance feedback technique is applied to improve the results of traditional techniques in image retrieval. Since the results returned by system cannot fully satisfy users and the iteration process of feedback can be very time-consuming and tedious, log-based relevance feedback is introduce to the system. In previous work, we have already introduced multi-level log-based relevance feedback scheme for image retrieval to accelerate the iteration process and to increase the hit rate. In this paper, we improve the novel algorithm and apply it in a demo image retrieval system which presents refined results based on multi-level log-based relevance feedback for Content-based Image Retrieval. ? 2005 - 2012 JATIT & LLS. All rights reserved.