Manuscript Number : CSEIT174413

A Robust and Secure Method of Copyright Protection for Digital Videos using Split Watermark Embedding Algorithm : SWEA

Authors(2) :-Jabir Ali, Prof. S.P. Ghrera

In the current scenario, Copyright Protection of the digital media is a serious issue and watermarking is an important method of protecting the intellectual property and copyright of the digital media. In this paper, we proposed a robust and secure algorithm SWEA (Split Watermark Embedding Algorithm) for digital videos. SWEA has three important parts, first one is splitting of original watermark into small pieces, second is embedding of the small pieces of watermark into the detail coefficients of identical frames (I Frames)of digital video and the third is extracted these small pieces and merge them in an efficient manner. Watermark data is inserted into the detail coefficients in an adaptive manner based on the energy of high frequency. 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.

Authors and Affiliations

Jabir Ali
Computer Science & Engineering Jaypee University of Information Technology Solan, Himachal Pradesh, India
Prof. S.P. Ghrera
Computer Science & Engineering Jaypee University of Information Technology Solan, Himachal Pradesh, India

SWEA, DWT, I-Frame, Detail Coefficient, H.264, MPEG-4., SCD

  1. I. J. Cox, M. L. Miller, J. A. Bloom, J. Fridrich, and T. Kalker, "Digital Watermarkingand Steganography," in 2nd ed. San Mateo, CA, USA: Morgan Kauffman, 2008.
  2. X. Niu, S. Sun, "A new wavelet-based digital watermarking for video, "In Proceedings of the IEEE Digital Signal Processing Workshop", pp. 1–6. Texas, 2000.
  3. Y. Wang, J. F. Doherty, and R. E. Van Dyck, "A wavelet-based watermarking algorithmfor ownership verification of digital images," IEEE Trans. Image Process, vol. 11, no. 2,pp. 77–88, Feb. 2002.
  4. P. Campisi and A. Neri, "Perceptual video watermarking in the 3D-DWT domain using amultiplicative approach," in Lecture Notes in Computer Science, vol. 3710. New York,NY, USA: Springer-Verlag, pp. 432–443, Sep. 2005.
  5. E. Ganic, Eskicioglu, "Robust DWT-SVD domain image watermarking: embedding datain all frequencies," In Proceedings of the ACM Multimedia and Security Workshop, pp.166–174, 2004.
  6. I.B Shahraray "Scene Change Detection and Content-Based Sampling of VideoSequences," in SPIE 2419 (Digital Video Compression: Algorithms and Technologies):2–13, 1995.
  7. H. Khalilian, S. Ghaemmaghami, and M. Omidyeganeh, "Digital video watermarking in3D ridge let domain," in Proc. 11th ICACT, vol. 3, pp. 1643–1646, Feb. 2009.
  8. S. Gandhe, U. Potdar, and K. Talele, "Dual watermarking in video using discrete wavelet transform," in Second International Conference on Machine Vision, ICMV ’09, pp. 216 –219, Dec. 2009.
  9. George, M., J. Chouinard and N. Georganas, "Digital watermarking of images and video using direct sequence spread spectrum techniques," Proceeding of the IEEE Canadian Conference on Electrical and Computer Engineering, May 9-12, IEEE XplorePress, Edmonton, Canada, pp:116-121H. Huang, C. Yang, and W. Hsu, "A video watermarking technique based on pseudo-3D DCT and quantization index modulation," IEEE Trans. Inf. Forensics Security, vol. 5, no. 4, pp. 625–637, Dec. 2010.
  10. S. Bhattacharya, T. Chattopadhyay, and A. Pal, "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’06. IEEE, pp. 1–6, 2006.
  11. H. Khalilian and I. V. Bajic, "Multiplicative video watermarking with semi- blind maximum likelihood decoding for copyright protection," in Proc. IEEE Pacific Rim Conf. Commun., Comput. Signal Process, pp. 125–130, Aug. 2011.
  12. B. Yeo and B. Liu, "Rapid scene change detection on compressed video," in IEEE Trans. Circuits Syst. Video Technol., vol. 5, no. 6, pp. 533–544, Dec. 1995.
  13. F. Hartung and B. Girod, "Watermarking of uncompressed and compressed video," in Signal Process., vol. 66, no. 3, pp. 283–301, May 1998.
  14. A. Hampapur, R Jain and T. Weymouth, "Digital Video Segmentation," In: Limb J, Blattner M (eds) Proc Second Annual ACM Multimedia Conference and Exposition, ACM, New York, NY, USA, pp 357–364, 1994.
  15. M. A. Akhaee, S. M. E. Saheaeian, and F. Marvasti, "Contourlet based image watermarking using optimum detector in a noisy environment," IEEE Trans. Image Process., vol. 19, no. 4, pp. 967–980, Apr. 2010.
  16. B Shahraray "Scene Change Detection and Content-Based Sampling of Video Sequences," in SPIE 2419 (Digital Video Compression: Algorithms and Technologies): 2–13, 1995

Publication Details

Published in : Volume 2 | Issue 7 | September 2017
Date of Publication : 2017-09-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 97-103
Manuscript Number : CSEIT174413
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Jabir Ali, Prof. S.P. Ghrera, "A Robust and Secure Method of Copyright Protection for Digital Videos using Split Watermark Embedding Algorithm : SWEA ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 7, pp.97-103, September-2017.
Journal URL : http://ijsrcseit.com/CSEIT174413

Article Preview

Get in Touch

Follow Us

Contact Us

IJSRCSEIT @ Copyright 2019. All Rights Reserved.