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Content-Based Video Copy Detection – A Survey

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Intelligent Multimedia Analysis for Security Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 282))

Abstract

In the presence of overwhelming amount of digital video data, the need for automated procedures to protect owners against unauthorized use of their content. to enable content publishers and distributors to monitor broadcast usage of videos and to help businesses manage storage of videos in large databases has become ever more critical Till now, two technical approaches have been proposed toward these goals, namely, watermarking-based systems and content-based copy detection (CBCD). Among them, the former one has been more thoroughly studied and explored, while the latter one is still in its early stages. This chapter reviews existing video copy detection systems, investigates some typical CBCD algorithms, compares the algorithms through appropriate performance metrics, and lists some challenges and open issues in this research field.

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Author information

Authors and Affiliations

  1. France Telecom R&D (Orange Labs) Beijing, China

    Shiguo Lian

  2. Department of Informatics, Aristotle University of Thessaloniki, Greece

    Nikolaos Nikolaidis

  3. Computer Engineering Department, TOBB University of Economics and Technology, Turkey

    Husrev Taha Sencar

Authors
  1. Shiguo Lian
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  2. Nikolaos Nikolaidis
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  3. Husrev Taha Sencar
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Editor information

Editors and Affiliations

  1. TOBB ETÜ Computer Engineering Department, Sögütözü Cad.No:43, Sögütözü, 06560, Ankara, Turkey

    Husrev Taha Sencar

  2. Computing, Information Systems and Mathematics, Kingston University London, Penrhyn Road, KT1 2EE, Surrey, UK

    Sergio Velastin

  3. Department of Informatics, Aristotle University of Thessaloniki, Box 451, GR-54124, Thessaloniki, Greece

    Nikolaos Nikolaidis

  4. France Telecom R&D (Orange Labs) Beijing, Raycom Infotech Park C, 2 Science Institute South Road, Haidian District, 100080, Beijing, China

    Shiguo Lian

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Lian, S., Nikolaidis, N., Sencar, H.T. (2010). Content-Based Video Copy Detection – A Survey. In: Sencar, H.T., Velastin, S., Nikolaidis, N., Lian, S. (eds) Intelligent Multimedia Analysis for Security Applications. Studies in Computational Intelligence, vol 282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11756-5_12

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  • DOI: https://doi.org/10.1007/978-3-642-11756-5_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11754-1

  • Online ISBN: 978-3-642-11756-5

  • eBook Packages: EngineeringEngineering (R0)

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