Skip to main content
Springer Nature Link
Log in

Perceptual Hashing of Video Content Based on Differential Block Similarity

  • Conference paper
Computational Intelligence and Security (CIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3802))

Included in the following conference series:

  • 1428 Accesses

Abstract

Each multimedia content can exist in different versions, e.g. different compression rates. Thus, cryptographic hash functions cannot be used for multimedia content identification or verification as they are sensitive to bit flips. In this case, perceptual hash functions that consider perceptual similarity apply. This article describes some of the different existing approaches for video data. One algorithm based on spatio-temporal color difference is investigated. The article shows how this method can be improved by using a simple similarity measure. We analyze the performance of the new method and compare it with the original method. The proposed algorithm shows increased reliability of video identification both in robustness and discriminating capabilities.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Serepth, C.J., Uhl, A.: Robust hash function for visual data: an experimental comparison (2003)

    Google Scholar 

  2. De Roover, C., De Vleeschouwer, C., Lefebvre, F., Macq, B.: Key-frame radial projection for robust video hashing (2004)

    Google Scholar 

  3. Venkatesan, R., Koon, S.-M., Jakubowski, M.H., Moulin, P.: Robust image hashing (2000)

    Google Scholar 

  4. Fotopoulos, V., Skodras, A.N.: A new fingerprinting method for digital images (2000)

    Google Scholar 

  5. Mucedero, A., Lancini, R., Mapelli, F.: A novel hashing algorithm for video sequences (2004)

    Google Scholar 

  6. Caspi, Y., Bargeron, D.: Sharing video annotations (2004)

    Google Scholar 

  7. Oostveen, J., Kalker, T., Haitsma, J.: Visual hashing of digital video: applications and techniques (2001)

    Google Scholar 

  8. Cheung, S.-c.S., Zakhor, A.: Efficient Video Similarity Measurement with Video Signature (2003)

    Google Scholar 

  9. Oostveen, J., Kalker, T., Haitsma, J.: Feature Extraction and a Database Strategy for Video Fingerprint (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Fraunhofer IGD, Fraunhoferstr. 5, 64283, Darmstadt, Germany

    Xuebing Zhou & Martin Schmucker

  2. Institute of Telecommunications, Darmstadt University of Technology, Merckstrasse 25, 64283, Darmstadt

    Christopher L. Brown

Authors
  1. Xuebing Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Martin Schmucker
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Christopher L. Brown
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Microelectronic Instiute, Xidian University, 710071, Xi’an, China

    Yue Hao

  2. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  3. School of Computer Science and Technology, Xidian University, Xi’an, China

    Yu-Ping Wang

  4. Department of Computer Science, Hong Kong Baptist University, Hong Kong,  

    Yiu-ming Cheung

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

  6. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  7. Key Laboratory of Computer Networks and Information Security(Ministry of Education), Xidian University, 710071, Xi’an, China

    Jianfeng Ma

  8. National Laboratory of Antennas and Microwave Technology, Xidian University, 710071, Xi’an, Shanxi, P.R. China

    Yong-Chang Jiao

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhou, X., Schmucker, M., Brown, C.L. (2005). Perceptual Hashing of Video Content Based on Differential Block Similarity. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596981_12

Download citation

  • DOI: https://doi.org/10.1007/11596981_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30819-5

  • Online ISBN: 978-3-540-31598-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics