Skip to main content

A Robust Video Watermarking for Real-Time Application

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10617))

Abstract

Video watermarking has been proposed to provide content protection, authentication, and indexing. The primordial compromise of watermarking was between robustness, invisibility and capacity. Unless, digital progression imposes new criteria as the processing time which became an important criterion for assessing and selecting the optimal technique. To satisfy these requirements a new approach based on Krawtchouk moments and DCT (Discrete Cosine Transform) is proposed. In fact, a defined part is firstly selected from the original frame in order to guarantee a real time treatment even with high definition video (HD). Secondly, Krawtchouk moment’s matrix is extracted from the luminance component and then transformed using the 2-D DCT and a set of coefficients is selected to be marked. Finally, the marked frames are generated based on marked moments. Experimental results show that the proposed technique is robust against several attacks besides providing a high level of invisibility and a real time processing.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Joshi, A., Mishra, V., Patrikar, R.: Real time implementation of integer DCT based video watermarking architecture. Int. Arab J. Inf. Technol. 12, 741–747 (2015)

    Google Scholar 

  2. Petitjean, G., Dugelay, J.: Towards real-time video watermarking for system-on-chip. In: IEEE International Conference on Multimedia and Expo-ICME02, vol. 1, pp. 597–600 (2002)

    Google Scholar 

  3. Chunling, C., Teng, W., Hong, W.L., Dengyin, Z.: A real-time video watermarking algorithm for streaming media. J. JDCTA 6, 504–511 (2012)

    Google Scholar 

  4. Preda, R., Vizireanu, D.: A robust digital watermarking scheme for video copyright protection in the wavelet domain. J. IMECO 43, 1720–1726 (2010)

    Google Scholar 

  5. Yingling, H., Gaobo, Y., Ningbo, Z.: A real-time dual watermarking algorithm of H.264/AVC video stream for video on demand service. J. AEÜ 66, 305–312 (2012)

    Google Scholar 

  6. Lee, M., Im, D.-H., et al.: Real time video watermarking system on the compressed domain for high-definition video contents:practical issues. J. DSP 22, 190–198 (2012)

    MathSciNet  Google Scholar 

  7. Venkataramana, A., Raj, P.: Image watermarking using Krawtchouk moments. In: International Conference on Computing: Theory and Applications, ICCTA07, pp. 676–680 (2007)

    Google Scholar 

  8. Zhang, L., Xiao, W., Ji, Z.: Local affine transform invariant image watermarking by Krawtchouk moment invariants. J. IET Inf. Secur. 1, 97–105 (2007)

    Article  Google Scholar 

  9. Yap, P., Paramesran, R., Ong, S.: Image analysis by Krawtchouk moments. J. IEEE Trans. Image Process. 12, 1367–1377 (2003)

    Article  MathSciNet  Google Scholar 

  10. Wang, R., Xu, G.: A video zero-watermark algorithm against RST attacks. In: Asia-Pacific Conference on Information Processing-APCIP, vol. 2, pp. 15–18 (2009)

    Google Scholar 

  11. Doerr, G., Dugelay, J.: Problematique de la collusion en tatouage video. J. Traitement du Signal 22, 563–574 (2005)

    MATH  Google Scholar 

  12. Cedillo-Hernandez, A., Cedillo-Hernandez, M., Garcia-Vazquez, M., Nakano-Miyatake, M., Perez-Meana, H., Ramirez-Acosta, A.: Transcoding resilient video watermarking scheme based on spatio-temporal HVS and DCT. J. Signal Process. 97, 40–54 (2014)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ines Bayoudh .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bayoudh, I., Jabra, S.B., Zagrouba, E. (2017). A Robust Video Watermarking for Real-Time Application. In: Blanc-Talon, J., Penne, R., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2017. Lecture Notes in Computer Science(), vol 10617. Springer, Cham. https://doi.org/10.1007/978-3-319-70353-4_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-70353-4_42

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70352-7

  • Online ISBN: 978-3-319-70353-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics