FINDING VIPS - A VISUAL IMAGE PERSONS SEARCH USING A CONTENT PROPERTY REASONER AND WEB ONTOLOGY
Edward Kim, Xiaolei Huang, Jeff HeflinAbstract
We present a semantic based search tool, VIPs, i.e. Visual Image Persons Search, on the domain of VIPs, i.e. very important people. Our tool explores the possibilities of content based image search supported by ontological reasoning. Our framework integrates information from both image processing algorithms and semantic knowledge bases to perform interesting queries that would otherwise be impossible. We describe a novel property reasoner that is able to translate low level image features into semantically relevant object properties. Finally, we demonstrate interesting searches supported by our framework on the domain of people, the majority of whom are movie celebrities, using the properties translated by our system as well as existing ontologies available on the web.
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