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Video Summarization and Retrieval System Using Face Recognition and MPEG-7 Descriptors

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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

In this paper, we introduce an automatic video summarizing and indexing tool for a personal video recorder. The tool utilizes MPEG-7 visual descriptors to generate a video index for summary. The resulting index generates not only a preview of a movie but also allows non-linear access with thumbnails. In addition, the index supports the searching of shot similar to a desired one within saved video sequences. Moreover, face recognition technique is utilized to personal based video summarization and indexing in stored video data.

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Author information

Authors and Affiliations

  1. Image Engineering Laboratory, Division of Electrical and Computer Engineering, Hanyang University, Seoul, Korea

    Jae-Ho Lee & Whoi-Yul Kim

Authors
  1. Jae-Ho Lee
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  2. Whoi-Yul Kim
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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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Lee, JH., Kim, WY. (2004). Video Summarization and Retrieval System Using Face Recognition and MPEG-7 Descriptors. 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_23

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  • DOI: https://doi.org/10.1007/978-3-540-27814-6_23

  • 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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