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Improving Access to Multimedia Using Multi-source Hierarchical Meta-data

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Adaptive Multimedia Retrieval: User, Context, and Feedback (AMR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3877))

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Abstract

Efficient retrieval of multi-media content depends on the availability of adequate meta-data to indicate the nature of the content. Such meta-data often contains useful hierarchical categorisation but is frequently not consistent between different sources. We outline a method to identify equivalent instances which are described by different meta-data schemata, and to find correspondences between hierarchies, which may be used to improve instance matching. Some successful initial tests of the method on large movie databases are reported.

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Author information

Authors and Affiliations

  1. Artificial Intelligence Group, Dept of Engineering Maths, University of Bristol, UK

    Trevor P. Martin & Yun Shen

  2. Intelligent Systems Lab, BT Research and Venturing, Currently Senior Research Fellow, Computational Intelligence Group, Adastral Park, Ipswich, UK

    Trevor P. Martin

Authors
  1. Trevor P. Martin
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  2. Yun Shen
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Editor information

Editors and Affiliations

  1. Laboratoire d’Informatique de Paris 6, France

    Marcin Detyniecki

  2. Department of Computer Science, University of Glasgow, 17 Lilybank Gardens, G12 8QQ, Glasgow, UK

    Joemon M. Jose

  3. Fakultät für Informatik, Otto-von-Guericke Universität Madgeburg, Universitätsplatz 2, 39106, Germany

    Andreas Nürnberger

  4. Department of Computing Science, University of Glasgow, G12 8QQ, Glasgow, UK

    C. J. van Rijsbergen

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© 2006 Springer-Verlag Berlin Heidelberg

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Martin, T.P., Shen, Y. (2006). Improving Access to Multimedia Using Multi-source Hierarchical Meta-data. In: Detyniecki, M., Jose, J.M., Nürnberger, A., van Rijsbergen, C.J. (eds) Adaptive Multimedia Retrieval: User, Context, and Feedback. AMR 2005. Lecture Notes in Computer Science, vol 3877. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11670834_21

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  • DOI: https://doi.org/10.1007/11670834_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32174-3

  • Online ISBN: 978-3-540-32175-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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