Recent Trend of Content Based Image Retrieval Using Intelligent Fusion Techniques
نویسنده
چکیده
the goal of this paper is to present use of fusion techniques in content based image retrieval. this techniques improve semantic value of user queries. Hence, improve performance of content based image retrieval system. Basically, Images are expressed at different semantic levels. Content Based Image Retrieval is growing technologies for bridging the semantic gap that presently prevents deployment of image content-based search engines. Typically, content-based methods are based on low-level descriptions, while high-level or semantic descriptions are beyond current capabilities. for bridging semantic gap in content based image retrieval, researcher proposes fusion techniques. There are three fusion methods are used like early fusion, late fusion and intermediate level fusion methods. Among which late fusion is used with semantic to improve performance of image retrieval. In this paper, we focus on recent image fusion techniques and study current image retrieval system using fusion techniques. Keywords— CBIR, fusion techniques, semantic value
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