Image retrieval is a wide and varied subject encompassing many fields, such as cognitive psychology, information retrieval, computer vision and wider connotations of the semantic web. The semantic gap in image retrieval is now familiar as that rift in the image retrieval landscape; between the information that can be extracted automatically from a digitised image and the interpretation that humans might place upon the image.
In this talk we aim to relate some of the problems of image retrieval from interpretation of content to working with retrieval professionals. We then aim to describe how we have been working from both sides of the semantic gap in an attempt to form a bridge. The talk will then describe some of the tools and solutions we and our collaborators have developed to help tackle these issues.
Jonathon Hare holds a BEng degree in Aerospace Engineering and PhD in Computer Science, both from the University of Southampton. He has just successfully completed a project funded by the Arts and Humanities Research Council in collaboration with researchers at the University of Brighton, investigating the semantic gap in image retrieval. His research interests lie in the area of multimedia information retrieval. In particular he is interested in investigating how content-based image retrieval and auto-annotation techniques can be integrated with semantic web technologies.
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