Advertisement

A Robust Approach of Copyright Protection for Digital Videos Using Zero Padding Algorithm Technique

  • Jabir AliEmail author
  • Satya Prakash Ghrera
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 958)

Abstract

Copyright protections of the multimedia is become most highlighted area for the researchers because of velocity of multimedia data. Every day a huge amount of data is generating and to prove the ownership of data, it is a basic need of certain security programs. In this paper, a new approach of copyright protection for digital videos, SWEA (Split watermark embedding algorithm) with Zero Padding Algorithm (ZPA) is proposed. With the help of this algorithm, it is hard to know the original pattern of watermark because of SWEA and minimizing the perceptual degradation of watermarked video because of ZPA. Here in this paper ‘db1’ wavelet domain is used for embedding the watermark in the low frequency sub-band of the original identical frame (I-frame), based on the energy of high-frequency sub-band in an adaptive manner. SCD (Scene changed detection) is used to find out the identical frame (I-frame). The proposed algorithm has undergone various attacks, such as compression, uniform noise, Gaussian noise frame repetition and frame averaging attacks. The proposed algorithm, sustain all the above attacks and offers improved performance compared with the other methods from the literature.

Keywords

SWEA ZPA SCD DWT I-frame Low frequency 

References

  1. 1.
    Totcharova, P., et al.: The ABC of copyright. In: International Copyright and Related Right Protection by United Nation Educational Scientific and Cultural OrganizationGoogle Scholar
  2. 2.
    Langlaar, C., et al.: Watermarking digital image and video data. IEEE Signal Process. Mag. 17, 20–46 (2000)CrossRefGoogle Scholar
  3. 3.
    Cox, I.J., et al.: Digital Watermarking and Steganography, 2nd edn. Morgan Kauffman, San Mateo (2008)Google Scholar
  4. 4.
    Bhattacharya, S., et al.: A survey on different video watermarking techniques and comparative analysis with reference to H.264/AVC. In: IEEE Tenth International Symposium on Consumer Electronics, ISCE 2006, pp. 1–6. IEEE (2006)Google Scholar
  5. 5.
    Murshid, A., et al.: Blind compressed video watermarking in DCT domain robust against global geometric attacks. In: Proceeding of the International Cryptology Workshop and Conference (2008)Google Scholar
  6. 6.
    Khalilian, H., et al.: Video watermarking with empirical PCA-based decoding. IEEE Trans. Image Process. 22(12), 4825–4840 (2013)MathSciNetCrossRefGoogle Scholar
  7. 7.
    Huang, H., et al.: A video watermarking technique based on pseudo-3D DCT and quantization index modulation. IEEE Trans. Inf. Forensics Secur. 5(4), 625–637 (2010)CrossRefGoogle Scholar
  8. 8.
    Khalilian, H., et al.: Digital video watermarking in 3D ridgelet domain. In: Proceedings of the 11th ICACT, vol. 3, pp. 1643–1646, February 2009Google Scholar
  9. 9.
    Gandhe, S., et al.: Dual watermarking in video using discrete wavelet transform. In: Second International Conference on Machine Vision, ICMV 2009, pp. 216 –219, December 2009Google Scholar
  10. 10.
    Shahraray, B.: Scene change detection and content-based sampling of video sequences. In: SPIE 2419 (Digital Video Compression: Algorithms and Technologies), pp. 2–13 (1995)Google Scholar
  11. 11.
    Campisi, P., Neri, A.: Perceptual video watermarking in the 3D-DWT domain using a multiplicative approach. In: Barni, M., Cox, I., Kalker, T., Kim, H.-J. (eds.) IWDW 2005. LNCS, vol. 3710, pp. 432–443. Springer, Heidelberg (2005).  https://doi.org/10.1007/11551492_33CrossRefGoogle Scholar
  12. 12.
    Chan, P.-W., Lyu, M.R.: A DWT-based digital video watermarking scheme with error correcting code. In: Qing, S., Gollmann, D., Zhou, J. (eds.) ICICS 2003. LNCS, vol. 2836, pp. 202–213. Springer, Heidelberg (2003).  https://doi.org/10.1007/978-3-540-39927-8_19CrossRefGoogle Scholar
  13. 13.
    Yeo, B., et al.: Rapid scene change detection on compressed video. IEEE Trans. Circuits Syst. Video Technol. 5(6), 533–544 (1995)CrossRefGoogle Scholar
  14. 14.
    Hartung, F., et al.: Watermarking of uncompressed and compressed video. Signal Process. 66(3), 283–301 (1998)CrossRefGoogle Scholar
  15. 15.
    Hampapur, A., et al.: Digital video segmentation. In: Limb, J., Blattner, M. (eds.) Proceedings of the Second Annual ACM Multimedia Conference and Exposition, pp 357–364. ACM, New York (1994)Google Scholar
  16. 16.
    Akhaee, M.A., et al.: Contourlet based image watermarking using optimum detector in a noisy environment. IEEE Trans. Image Process. 19(4), 967–980 (2010)MathSciNetCrossRefGoogle Scholar
  17. 17.
    Yeung, M.M., Liu, B.: Efficient matching and clustering of video. In: IEEE International Conference on Image Processing, Piscataway, NJ, USA, vol. 1, pp. 338–341, October 1995Google Scholar
  18. 18.
    Park, J.Y., et al.: Invertible semi-fragile watermarking algorithm distinguishing MPEG-2 compression from malicious manipulation. In: International Conference on Consumer Electronics, pp. 18–19, June 2002Google Scholar
  19. 19.
    Shieh, J., et al.: A semi-blind digital watermarking scheme based on singular value decomposition. Comput. Stand. Interfaces 28(4), 428–440 (2006)CrossRefGoogle Scholar
  20. 20.
    Al-Khatib, T., et al.: A robust video watermarking algorithm. J. Comput. Sci. 4(11), 6–9 (2004)Google Scholar
  21. 21.
    Ming, B.: Digital watermarking embedding and attacking. Sci. Technol. Inf. (8), 50–51 (2008)Google Scholar
  22. 22.
    Wang, Y., et al.: A wavelet-based watermarking algorithm for ownership verification of digital images. IEEE Trans. Image Process. 11(2), 77–88 (2002)CrossRefGoogle Scholar
  23. 23.
    Wang, Y., et al.: A blind MPEG-2 video watermarking robust against geometric attacks: a set of approaches in DCT domain. IEEE Trans. Image Process. 15(6), 1536–1543 (2006)CrossRefGoogle Scholar
  24. 24.
    Lin, et al.: An embedded watermark technique in video for copyright protection. In: Proceedings of the International Conference on Pattern Recognition, vol. 4, pp. 795–798 (2006)Google Scholar
  25. 25.
    Ganic, E., et al.: Robust DWT-SVD domain image watermarking: embedding data in all frequencies. In: Proceedings of the ACM Multimedia and Security Workshop, pp. 166–174 (2004)Google Scholar
  26. 26.
    Niu, X., et al.: A new wavelet-based digital watermarking for video. In: Proceedings of the IEEE Digital Signal Processing Workshop, Texas, pp. 1–6 (2000)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Computer Science and EngineeringJaypee University of Information TechnologySolanIndia

Personalised recommendations