Building a visual ontology for video retrieval

  • Authors:
  • L. Hollink;M. Worring;A. Th. Schreiber

  • Affiliations:
  • Vrije Universiteit, Amsterdam;Vrije Universiteit, Amsterdam;Vrije Universiteit Amsterdam

  • Venue:
  • Proceedings of the 13th annual ACM international conference on Multimedia
  • Year:
  • 2005

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Abstract

To ensure access to growing video collections, annotation is becoming more and more important using background knowledge in the form of ontologies or thesauri is a way to facilitate annotation in a broad domain. Current ontologies are not suitable for (semi-) automatic annotation of visual resources as they contain little visual information about the concepts they describe. We investigate how an ontology that does contain visual information can facilitate annotation in a broad domain and identify requirements that a visual ontology has to meet. Based on these requirements, we create a visual ontology out of two existing knowledge corpora (WordNet and MPEG-7) by creating links between visual and general concepts. We test performance of the ontology on 40 shots of news video, and discuss the added value of each visual property.