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From Image Hashing to Video Hashing

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Advances in Multimedia Modeling (MMM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5916))

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Abstract

Perceptual hashing is a technique for content identification and authentication. In this work, a frame hash based video hash construction framework is proposed. This approach reduces a video hash design to an image hash design, so that the performance of the video hash can be estimated without heavy simulation. Target performance can be achieved by tuning the construction parameters. A frame hash algorithm and two performance metrics are proposed.

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Authors and Affiliations

  1. Katholieke Universiteit Leuven, IBBT,  

    Li Weng & Bart Preneel

Authors
  1. Li Weng
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  2. Bart Preneel
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Editor information

Editors and Affiliations

  1. University of Oldenburg, Germany

    Susanne Boll

  2. University of Texas at San Antonio,, TX, San Antonio, USA

    Qi Tian

  3. Microsoft Research Asia, Beijing, P.R. China

    Lei Zhang

  4. Southwest University, Beibei, Chongqing, China

    Zili Zhang

  5. School of Engineering and Information Technology, Deakin University, 221 Burwood Highway, Vic, 3125, Australia

    Yi-Ping Phoebe Chen

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© 2010 Springer-Verlag Berlin Heidelberg

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Weng, L., Preneel, B. (2010). From Image Hashing to Video Hashing. In: Boll, S., Tian, Q., Zhang, L., Zhang, Z., Chen, YP.P. (eds) Advances in Multimedia Modeling. MMM 2010. Lecture Notes in Computer Science, vol 5916. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11301-7_66

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  • DOI: https://doi.org/10.1007/978-3-642-11301-7_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11300-0

  • Online ISBN: 978-3-642-11301-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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