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Image retrieval is one of the hottest fields of computer vision and pattern recognition. In recent years, many researchers addressed the challenging problem of interpreting the semantics of images. This paper presented a novel approach based on relation net (concept and semantic keyword relation net) for high level
Content-based image retrieval (CBIR) has been adopted as a complementary technique to the keyword-based image search. Relevance feedback (RFB) is considered as an effective means to bridge the gap between the designated features and the run-time semantics on a CBIR system. Like many other interactive system, a good
Technological developments have lead to the propagation of massive amounts of data in the form of text, image, audio, and video. The unstoppable trend draws researchers' attention to develop approaches to efficiently retrieve and manage multimedia data. The inadequacy of keyword-based search in multimedia data
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