Skip to main content
SpringerLink
Log in

Video Watermarking

  • Chapter
  • First Online:
Digital Watermarking

Part of the book series: Springer Topics in Signal Processing ((STSP,volume 11))

  • 1479 Accesses

Abstract

Recently, video is the major part in the applications such as Internet multimedia, videophone, video on demand, set-top box, and video conference, which requires a security mechanism to protect it from intentional and unintentional attacks. Video watermarking can serve as an urgent secure component to enhance security and privacy of these applications.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

References

  1. Bodo, Y., N. Laurent, and J.-L. Dugelay. 2003. Watermarking video, hierarchical embedding in motion vectors. In Proceedings of the 2003 international conference on image processing, ICIP 2003. IEEE.

    Google Scholar 

  2. Barni, M., et al. 2000. A robust watermarking approach for raw video. In Proceedings of the 10th international packet video workshop.

    Google Scholar 

  3. Kalker, T., et al. 1999. Video watermarking system for broadcast monitoring. In Electronic imaging’99. International Society for Optics and Photonics.

    Google Scholar 

  4. Dittmann, J., M. Stabenau, and R. Steinmetz. 1998. Robust MPEG video watermarking technologies. In Proceedings of the sixth ACM international conference on Multimedia. ACM.

    Google Scholar 

  5. Langelaar, G.C., R.L. Lagendijk, and J. Biemond. 1998. Real-time labeling of MPEG-2 compressed video. Journal of Visual Communication and Image Representation 9(4): 256–270.

    Article  Google Scholar 

  6. Kim, S.-W., et al. 1999. Perceptually tuned robust watermarking scheme for digital video using motion entropy masking.

    Google Scholar 

  7. Hartung, F., and B. Girod. 1998. Watermarking of uncompressed and compressed video. Signal Processing 66(3): 283–301.

    Article  MATH  Google Scholar 

  8. Martin, X.N., M. Schmucker, and C. Busch. 2002. Video watermarking resisting to rotation, scaling, and translation. In Proceedings of the SPIE security watermarking of multimedia contents IV. Citeseer.

    Google Scholar 

  9. Swanson, M.D., B. Zhu, and A.H. Tewfik. 1998. Multiresolution scene-based video watermarking using perceptual models. IEEE Journal on Selected Areas in Communications 16(4): 540–550.

    Article  MATH  Google Scholar 

  10. Deguillaume, F., et al. 1999. Robust 3D DFT video watermarking. In Electronic imaging’99. International Society for Optics and Photonics.

    Google Scholar 

  11. Kucukgoz, M., et al. 2005. Robust video watermarking via optimization algorithm for quantization of pseudo-random semi-global statistics. In Electronic imaging 2005. International Society for Optics and Photonics.

    Google Scholar 

  12. Zhang, L.-H., H.-T. Wu, and C.-L. Hu. 2004. A video watermarking algorithm based on 3D Gabor transform. Journal of Software 15(8): 1252–1258.

    MATH  Google Scholar 

  13. Mobasseri, B.G., and D. Cinalli. 2004. Reversible watermarking using two-way decodable codes. In Electronic imaging 2004. International Society for Optics and Photonics.

    Google Scholar 

  14. Jordan, F. 1997. Proposal of a watermarking technique for hiding/retrieving data in compressed and decompressed video. ISO/IEC Doc. JTC1/SC 29/QWG 11 MPEG 97/M 2281.

    Google Scholar 

  15. Zhang, J., J. Li, and L. Zhang. 2001. Video watermark technique in motion vector. In Proceedings of XIV Brazilian symposium on computer graphics and image processing. IEEE.

    Google Scholar 

  16. Yann, B., L. Nathalie, and D. Jean-Luc. 2004. A comparative study of different modes of perturbation for video watermarking based on motion vectors. In Proceedings of the 12th European signal processing conference. IEEE.

    Google Scholar 

  17. Bodo, Y., et al. 2004. Video waterscrambling: Towards a video protection scheme based on the disturbance of motion vectors. EURASIP Journal on Advances in Signal Processing 2004(14): 1–14.

    Article  Google Scholar 

  18. Menezes, A.J., P.C. Van Oorschot, and S.A. Vanstone. 1996. Handbook of applied cryptography. Boca Raton: CRC press.

    Google Scholar 

  19. Wu, M., et al. 2004. Collusion-resistant fingerprinting for multimedia. IEEE Signal Processing Magazine 21(2): 15–27.

    Article  Google Scholar 

  20. Cayre, F., et al. 2003. Application of spectral decomposition to compression and watermarking of 3D triangle mesh geometry. Signal Processing: Image Communication 18(4): 309–319.

    MathSciNet  Google Scholar 

  21. Petitcolas, F.A., R.J. Anderson, and M.G. Kuhn. 1998. Attacks on copyright marking systems. In Information hiding. Berlin: Springer.

    Google Scholar 

  22. Doerr, G., and J.-L. Dugelay. 2003. A guide tour of video watermarking. Signal Processing: Image Communication 18(4): 263–282.

    Google Scholar 

  23. Zong, T., et al. 2014. Robust histogram shape based method for image watermarking.

    Google Scholar 

  24. Cheung, W. 2000. Digital image watermarking in spatial and transform domains. In Proceedings of the TENCON 2000. IEEE.

    Google Scholar 

  25. Navas, K., et al. 2008. DWT-DCT-SVD based watermarking. In 3rd international conference on communication systems software and middleware and workshops, COMSWARE 2008. IEEE.

    Google Scholar 

  26. Kang, X., et al. 2003. A DWT-DFT composite watermarking scheme robust to both affine transform and JPEG compression. IEEE Transactions on Circuits and Systems for Video Technology 13(8): 776–786.

    Article  Google Scholar 

  27. Li, J., et al. 2009. An adaptive secure watermarking scheme for images in spatial domain using fresnel transform. In Information science and engineering (ICISE). IEEE.

    Google Scholar 

  28. Ghazy, R.A., et al. 2015. Block-based SVD image watermarking in spatial and transform domains. International Journal of Electronics 102(7): 1091–1113.

    Article  Google Scholar 

  29. Lin, W.-H., et al. 2008. An efficient watermarking method based on significant difference of wavelet coefficient quantization. IEEE Transactions on Multimedia 10(5): 746–757.

    Article  Google Scholar 

  30. Ma, B., et al. 2014. Secure multimodal biometric authentication with wavelet quantization based fingerprint watermarking. Multimedia Tools and Applications 72(1): 637–666.

    Article  Google Scholar 

  31. Agarwal, H., B. Raman, and I. Venkat. 2014. Blind reliable invisible watermarking method in wavelet domain for face image watermark. Multimedia Tools and Applications: 1–39.

    Google Scholar 

  32. Wang, Y., and A. Pearmain. 2006. Blind MPEG-2 video watermarking in DCT domain robust against scaling. IEE Proceedings-Vision, Image and Signal Processing 153(5): 581–588.

    Article  Google Scholar 

  33. Bhatnagar, G., and B. Raman. 2012. Wavelet packet transform-based robust video watermarking technique. Sadhana 37(3): 371–388.

    Article  MATH  Google Scholar 

  34. Khalilian, H., S. Ghaemmaghami, and M. Omidyeganeh. 2009. Digital video watermarking in 3-D ridgelet domain. In 11th international conference on advanced communication technology, ICACT 2009. IEEE.

    Google Scholar 

  35. Li, X., and R. Wang. 2007. A video watermarking scheme based on 3D-DWT and neural network. In Ninth IEEE international symposium on multimedia workshops, ISMW’07. IEEE.

    Google Scholar 

  36. Huai-Yu, Z., L. Ying, and W. Cheng-Ke. 2004. A blind spatial-temporal algorithm based on 3D wavelet for video watermarking. In 2004 IEEE international conference on multimedia and expo, ICME’04. IEEE.

    Google Scholar 

  37. Yassin, N.I., N.M. Salem, and M.I. El Adawy. 2014. QIM blind video watermarking scheme based on wavelet transform and principal component analysis. Alexandria Engineering Journal 53(4): 833–842.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. National Electronics and Computer Technology Center (NECTEC), Pathumthani, Thailand

    Mohammad Ali Nematollahi & Chalee Vorakulpipat

  2. Universidad Autónoma de Zacatecas, Zacatecas, Mexico

    Hamurabi Gamboa Rosales

Authors
  1. Mohammad Ali Nematollahi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chalee Vorakulpipat
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hamurabi Gamboa Rosales
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mohammad Ali Nematollahi .

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media Singapore

About this chapter

Cite this chapter

Nematollahi, M.A., Vorakulpipat, C., Rosales, H.G. (2017). Video Watermarking. In: Digital Watermarking . Springer Topics in Signal Processing, vol 11. Springer, Singapore. https://doi.org/10.1007/978-981-10-2095-7_5

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-2095-7_5

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2094-0

  • Online ISBN: 978-981-10-2095-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation