Sirio: an ontology-based web search engine for videos

  • Authors:
  • Thomas Alisi;Marco Bertini;Gianpaolo D'Amico;Alberto Del Bimbo;Andrea Ferracani;Federico Pernici;Giuseppe Serra

  • Affiliations:
  • Università di Firenze, Firenze, Italy;Università di Firenze, Firenze, Italy;Università di Firenze, Firenze, Italy;Università di Firenze, Firenze, Italy;Università di Firenze, Firenze, Italy;Università di Firenze, Firenze, Italy;Università di Firenze, Firenze, Italy

  • Venue:
  • MM '09 Proceedings of the 17th ACM international conference on Multimedia
  • Year:
  • 2009

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Abstract

In this technical demonstration we show a web video search engine based on ontologies, the Sirio system, that has been developed within the EU VidiVideo project. The goal of the system is to provide a search engine for videos for both technical and non-technical users. In fact, the system has different interfaces that permit different query modalities: free-text, natural language, graphical composition of concepts using boolean and temporal relations and query by visual example. In addition, the ontology structure is exploited to encode semantic relations between concepts permitting, for example, to expand queries to synonyms and concept specializations.