Visual information retrieval is attracting an increasing number ofresearchers from disparate fields, like image analysis, computer vision,databases, knowledge representation, artificial intelligence,man-machine interaction. Although a number of prototype systems havebeen made available, nevertheless this discipline has not yet reached amature stage, and overall has not yet been credited as of concrete usein practical applications. Among the very many different lines ofdevelopment we focus particularly on the importance of bridging thesemantic gap between the user and visual information retrieval systems.We focus on usage of semiotics as a framework for extraction ofsemantics, graphs and graph matching as the representation model andretrieval engine and visualization spaces to capture semantics duringthe interaction
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