YCbCr Colour Watermark Embedding in Digital Video for Copyright Protection using Zero Padding

P. Chawla, N. Sharma


Digital watermarking is a vital process of shielding the intellectual property and copyright of the digital media. In this paper, a new digital video watermarking algorithm Colour Watermark Embedding Algorithm (CWEA) is proposed. CWEA has two important parts. First, YCbCr colour format is used to insert the variable size watermark. Second, Embedding of detail coefficients of LUMINANCE (Y-luminance) of watermark into the detail coefficients of CHROMINANCE (Cb and Cr- chrominance) of identical frames (I-Frames) of digital video. Data is inserted into the detail coefficients based on the energy of high frequency. A number of tests have been executed for most video-frame manipulations and attacks. All these tests are also performed on CWEA and it provides good results. In this paper, non-blind and semi-blind watermarking systems are used where non-blind watermarking mechanism has been proven to be robust, imperceptible and efficient to protect the copyright of H.264 and MPEG-4 coded video within the video retrieval system.


Copyright Protection; DWT; LL Sub-Band; RGB; YcbCr; ZP;

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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.


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