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Indexing Video Summaries for Quick Video Browsing

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Pervasive Computing

Part of the book series: Computer Communications and Networks ((CCN))

Abstract

Multimedia data are used in many fields. The problem is how to manipulate the large quantity of these data. One of the proposed solutions is an intelligent video summarization system. Summarizing a video consists in providing another version that contains pertinent and important items. The most popular type of summary is the pictorial summary. We propose in this chapter to index pictorial summaries in order to accelerate the browsing operation of video archives. The chapter presents a conception of a digital video archive that offers three access levels making easier the search for video sequences. The first access level offers to the user a full access for the whole archive. The second access level allows to the user to browse video archive by consulting video summaries. We contribute by adding a third access level that accelerates the archive browsing by adding an indexing subsystem, which operates on video summaries. We propose to index video summaries to accelerate the research of desired sequences. We treat the case of news broadcast video

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Acknowledgments

The authors want to acknowledge the financial support of this work by grants from the General Direction of Scientific Research and Technological Renovation (DGRST), Tunisia, under the ARUB programme 01/UR/11/02.

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Authors and Affiliations

  1. Department of Electrical Engineering, REGIM: Research Group on Intelligent Machines, University of Sfax, ENIS, BP, W-3038, Sfax, Tunisia

    Hichem Karray, Mehdi Ellouze & Adel Alimi

Authors
  1. Hichem Karray
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  2. Mehdi Ellouze
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  3. Adel Alimi
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Corresponding author

Correspondence to Hichem Karray .

Editor information

Editors and Affiliations

  1. Fac. Computers & Information, Cairo University, Ahmed Zewal Street 5, Giza, 12613, Egypt

    Aboul-Ella Hassanien

  2. School of Engineering &, Deakin University, Geelong, 3217, Australia

    Jemal H. Abawajy

  3. Technology, Norwegian University of Science &, O.S. Bragstads plass 2E, Trondheim, 7491, Norway

    Ajith Abraham

  4. Dept. Computer Science, University of Essex, Wivenhoe Park, Colchester, CO4 3SQ, United Kingdom

    Hani Hagras

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© 2009 Springer-Verlag London Limited

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Karray, H., Ellouze, M., Alimi, A. (2009). Indexing Video Summaries for Quick Video Browsing. In: Hassanien, AE., Abawajy, J., Abraham, A., Hagras, H. (eds) Pervasive Computing. Computer Communications and Networks. Springer, London. https://doi.org/10.1007/978-1-84882-599-4_4

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  • DOI: https://doi.org/10.1007/978-1-84882-599-4_4

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-598-7

  • Online ISBN: 978-1-84882-599-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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