Sirio: an ontology-based web search engine for videos

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.

REFERENCES

• 1: A. F. Smeaton, P. Over and W. Kraai. High-Level Feature Detection from Video in TRECVid: a 5-Year Retrospective of Achievements, Multimedia Content Analysis, Theory and Applications, 151--174, 2009, Springer Verlag.
• 2: C. G. M. Snoek et al. The MediaMill TRECVID 2008 Semantic Video Search Engine, In Proceedings of the 6th TRECVID Workshop, 2008.
• 3: A. Natsev, J. R. Smith, J. Tesic, L. Xie, R. Yan, W. Jiang, M. Merler IBM Research TRECVID-2008 Video Retrieval System, In Proceedings of the 6th TRECVID Workshop, 2008.
• 4: M. Bertini, R. Cucchiara, A. Del Bimbo, C. Grana, G. Serra, C. Torniai and R. Vezzani. Dynamic Pictorially Enriched Ontologies for Video Digital Libraries. In IEEE Multimedia, to appear, 2009.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Search process

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.5 On-line Information Services
          Subjects: Web-based services

General Terms:
Algorithms, Experimentation

Keywords:
ontologies, video retrieval, web services