Finding VIPs - A visual image persons search using a content property reasoner and web ontology

Edward Kim, Xiaolei Huang, Jeff Heflin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationElectronic Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, ICME 2011
DOIs
StatePublished - 2011
Event2011 12th IEEE International Conference on Multimedia and Expo, ICME 2011 - Barcelona, Spain
Duration: Jul 11 2011Jul 15 2011

Publication series

NameProceedings - IEEE International Conference on Multimedia and Expo
ISSN (Print)1945-7871
ISSN (Electronic)1945-788X

Conference

Conference2011 12th IEEE International Conference on Multimedia and Expo, ICME 2011
Country/TerritorySpain
CityBarcelona
Period7/11/117/15/11

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications

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