Bridging the Semantic Gap
نویسنده
چکیده
Content-based image retrieval systems were introduced as an alternative to avoid the need of manual tagging in traditional keyword-based image retrieval systems. However, the representation of image using visual features only involves a loss of information which is referred to as semantic gap. A number of techniques have been proposed to deal with ‘semantic gap’. This paper reviews existing approaches to handle the well-known ‘semantic gap’ problem in image retrieval systems with a particular focus to approaches based on text and image fusion. Keywords— Image retrieval, Semantic Image Retrieval, CBIR, Text and Image fusion.
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