TempoM2: a multi feature index structure for temporal video search

  • Authors:
  • Mario Döller;Florian Stegmaier;Simone Jans;Harald Kosch

  • Affiliations:
  • Department of Distributed Information Technology, University of Passau, Germany;Department of Distributed Information Technology, University of Passau, Germany;Department of Distributed Information Technology, University of Passau, Germany;Department of Distributed Information Technology, University of Passau, Germany

  • Venue:
  • MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
  • Year:
  • 2012

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Abstract

Efficient temporal video search will play an important role in the future related to the vast growth of video data in the Web. Here, index structures are one way to ensure efficient retrieval over a large amount of data. However, index structures targeting on indexing video data are rare. In this context, the paper introduces the TempoM 2−tree framework, which features a two-level index structure supporting the retrieval of similar video segments in combination with temporal relations.