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Interactive Content-Based Retrieval Using Pre-computed Object-Object Similarities

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Image and Video Retrieval (CIVR 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3115))

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Abstract

We propose using truncated object-object similarity matrix as an access structure for interactive video retrieval. The proposed approach offers a scalable solution to retrieval and allows combination of different feature spaces or sources of information. Experiments were performed on TREC Video collections of 2002 and 2003.

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Author information

Authors and Affiliations

  1. Databases Group, University of Twente, P.O.Box 217, 7500 AE, Enschede, The Netherlands

    Liudmila Boldareva & Djoerd Hiemstra

Authors
  1. Liudmila Boldareva
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  2. Djoerd Hiemstra
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Editor information

Editors and Affiliations

  1. School of Computing, Mathematical and Information Sciences, University of Brighton, UK

    Peter Enser

  2. Informatics and Telematics Institute, Centre for Research and Technology-Hellas, 57001, Thessaloniki, Greece

    Yiannis Kompatsiaris

  3. Centre for Digital Video Processing, Adaptive Information Cluster, Dublin City University, Ireland

    Noel E. O’Connor

  4. Dublin City University, Dublin, Ireland

    Alan F. Smeaton

  5. ISLA lab, Informatics Institute, University of Amsterdam, The Netherlands

    Arnold W. M. Smeulders

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© 2004 Springer-Verlag Berlin Heidelberg

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Boldareva, L., Hiemstra, D. (2004). Interactive Content-Based Retrieval Using Pre-computed Object-Object Similarities. In: Enser, P., Kompatsiaris, Y., O’Connor, N.E., Smeaton, A.F., Smeulders, A.W.M. (eds) Image and Video Retrieval. CIVR 2004. Lecture Notes in Computer Science, vol 3115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27814-6_38

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  • DOI: https://doi.org/10.1007/978-3-540-27814-6_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22539-3

  • Online ISBN: 978-3-540-27814-6

  • eBook Packages: Springer Book Archive

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