A Robust Approach of Embedding Watermark Blocks In Digital Video for Copyright Protection Using Zero Padding Algorithm

Authors

  • P. Chawla Department of Electronics and Communication, Jaypee University of Information Technology, Solan, Himachal Pradesh.
  • N. Sharma Department of Electronics and Communication, Jaypee University of Information Technology, Solan, Himachal Pradesh

Keywords:

Copyright Protection, Digital Video Watermark, DWT, LL Sub-band, ZPA,

Abstract

Digital copyright protection has become an effective way to prove the ownership and protect the multimedia contents from illegal use and unauthorized users. In order to prove the ownership of a video certain security program is embedded in a video and one of the ways of ensuring the ownership of a video is embedding the watermark in a video. In this paper a new approach of digital video copyright protection with Zero Padding Algorithm (ZPA) is proposed. With the help of this algorithm, it is hard to know the original pattern of watermark. This algorithm splits the watermark into small pieces and minimizes the perceptual degradation of watermarked video because of ZPA. In this paper Digital Wavelet transform (DWT) is used to embed the watermark in the LL sub-band, based on the energy of high frequency sub-band in an adaptive manner. 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.

References

P. Totcharova, et al, “The ABC of Copyright” in International Copyright and Related Right Protection by United Nation Educational Scientifiic and Cultural Organization.

C. Langlaar, et al, “Watermarking Digital Image and Video Data”, in IEEE Signal Processing Magazine, September 2000.

I. J. Cox, et al, “Digital Watermarking and Steganography,” in 2nd ed. San Mateo, CA, USA: Morgan Kauffman, 2008.

H. Huang, et al., “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.

S. Bhattacharya, 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’06. IEEE, pp. 1–6, 2006.

H. Khalilian, et al, “Multiplicative video watermarking with semiblind maximum likelihood decoding for copyright protection,” in Proc. IEEE Pacific Rim Conf. Commun., Comput. Signal Process, pp. 125–130, Aug. 2011.

A. Murshid, et al, “Blind compressed video watermarking in DCT domain robust against global geometric attacks. Proceeding of the International Cryptology Workshop and Conference, 2008.

H. Khalilian, et al, “Digital video watermarking in 3D ridgelet domain,” in Proc. 11th ICACT, vol. 3, pp. 1643–1646, Feb. 2009.

S. Gandhe, et al, “Dual watermarking in video using discrete wavelet transform,” in Second International Conference on Machine Vision, ICMV ’09, pp. 216 –219, Dec. 2009.

B Shahraray “Scene Change Detection and Content-Based Sampling of Video Sequences,” in SPIE 2419 (Digital Video Compression: Algorithms and Technologies): 2–13, 1995.

P. Campisi, et al, “Perceptual video watermarking in the 3D-DWT domain using a multiplicative approach,” in Lecture Notes in Computer Science, vol. 3710. New York, NY, USA: Springer-Verlag, pp. 432–443, Sep. 2005.

P.W. Chan, et al, “A DWT-based Digital Video Watermarking Scheme with Error Correcting Code,” In Proceedings Fifth International Conference on Information and Communications Security (ICICS2003), Lecture Notes in Computer Science, Springer, Vol. 2836, pp. 202-213, Huhehaote City, Inner-Mongolia, China, Oct. 10-13, 2003.

B. Yeo, et al, “Rapid scene change detection on compressed video,” in IEEE Trans. Circuits Syst. Video Technol., vol. 5, no. 6, pp. 533– 544, Dec. 1995.

F. Hartung and, et al, “Watermarking of uncompressed and compressed video,” in Signal Process., vol. 66, no. 3, pp. 283–301, May 1998.

A. Hampapur, et al, “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.

M. A. Akhaee, et al, “Contourlet based image watermarking using optimum detector in a noisy environment,” IEEE Trans. Image Process., vol. 19, no. 4, pp. 967–980, Apr. 2010.

M. M., et al “Efficient Matching and Clustering of Video,” in IEEE International conference on image processing, vol. 1, Piscataway, NJ, USA, 338-341, Oct. 1995.

J. Y. Park, et al, “Invertible Semi-fragile Watermarking Algorithm Distinguishing MPEG-2 Compression from Malicious Manipulation”, International Conference on Consumer Electronics, pp. 18-19, June 2002.

J. Shieh, et al, “A semi-blind digital watermarking scheme based on singular value decomposition,” Comput. Stand. Inter., vol. 28, no. 4, pp. 428–440, Apr. 2006.

T. Al-Khatib, et al, “A Robust Video Watermarking Algorithm,” in Journal of Computer Science, 4(11):6~9.1280, 2004.

B. Ming, “Digital watermarking embedding and attacking,” in Science and technology information, pp (8):50~51, 2008.

Y. Wang, et al, “A wavelet-based watermarking algorithm for ownership verification of digital images,” IEEE Trans. Image Process, vol. 11, no. 2, pp. 77–88, Feb. 2002.

Wang, Y., et al, “A Blind MPEG-2 video watermarking robust against geometric attacks: a set of approaches in DCT domain,” in IEEE Trans. Image Process, 15(6), 1536–1543, 2006.

Lin, et al, “An embedded watermark technique in video for copyright protection,” in Proc. Int. Conf. Pattern Recog. 4, 795–798, 2006.

Downloads

Published

2017-11-23

How to Cite

Chawla, P., & Sharma, N. (2017). A Robust Approach of Embedding Watermark Blocks In Digital Video for Copyright Protection Using Zero Padding Algorithm. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(3-6), 23–27. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3040