Quasi-Blind Adaptive Video Watermarking Algorithm Based on Human Visual System

Abstract:

A quasi-blind adaptive video watermarking algorithm in uncompressed video wavelet domain based on human visual system is proposed in this paper. This algorithm established a visual model according to the human visual masking and the characteristics of wavelet coefficients. It did not require the scene segmentation of the video, choosing the video frames which used for embedding watermarking by the key, and embedding different watermarking which processed by Arnold scrambling into different frame, so it is robust to statistical analysis, frame crop and so on. To ensure the spatial synchrony when extracting the watermark information, zero-watermarking method and chaotic system are used to generate the synchronization information. The quantized central limit theorem is applied to adjust the low frequency coefficients, it makes the extracted watermark information keeps invariant when its element value changed in robust region. A new correlation detection method of watermarking information was put forward. Watermark detection does not require original video. It realized the quasi-blind watermark detection.

• Periodical: Advanced Materials Research (Volumes 179-180)
• Pages: 103-108
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.179-180.103
• Online since: January 2011
• Authors: Sheng Bing Che, Jin Kai Luo, Bin Ma
• Keywords: Arnold Transform, Chaotic System, Video Watermarking, Visual Masking

References

[1] Cox I J, Miller M L. The First 50 Years of Electronic Watermarking[J]. EURASIP Journal of Applied Signal Processing, 2002, 12(2): 126-132.

[2] Zhao X, Hao L. Overview of digital watermark[J]. Computer Engineering and Design, (2006).

[3] Chang M, Lu C, Jiang M, Yuan C F. A Review of Digital Image Watermarking[J]. (2003).

[4] Yin H, Lin C, Qiu F, Ding R. A Survey of Digital Watermarking [J]. Journal of Computer Research and Development, 2005, 42(07): 1093-1099.

[5] Ma J H, He J X. A Wavelet Based Method of Zero Watermark [J]. Journal of Image and Graphics, (2007).

[6] Zhang G N, Wang S X, Wen Q. An Adaptive Blind Watermarking Algorithm to Embed Readable Watermark [J]. 2005, 33(02): 308-312.

[7] Campisi P, Neri A. Video watermarking in the 3D-DWT domain using perceptual masking [C]. IEEE International Conference on Image Processing (ICIP 2005), Genova, Italy, 2005: 11-14.

DOI: 10.1109/icip.2005.1529921

[8] Che shengbing, Ma Bin, Che Zuguo. Semi-fragile Image Watermarking Algorithm Based on Visual Features [P]. ICWAPR2007, Proceedings of International Conference on Wavelet Analysis and Pattern Recognition. 2007, 11, pp.382-387.

DOI: 10.1109/icwapr.2007.4420698

[9] Wang S, Zheng D, Zhao J, et al. A digital watermarking and perceptual model based video quality measurement[C]. MTC 2005-Instrumentation and Measurement. Technology Conference, Ottawa, Canada, 2005, 17-19.

DOI: 10.1109/imtc.2005.1604466

[10] Liu Bin, Zhang Y Q, Liu F L. A new scheme on perturbing digital chaotic systems[J]. Chinese journal of computer science, 2005, 32(4): 71-74.

[11] Chan P W, Lyu M R, Chin R T. A novel scheme for hybrid digital video watermarking: approach evaluation and experimentation[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2005, 15(12): 1638-1649.

DOI: 10.1109/tcsvt.2005.856932

[12] Zhou H, Xu T, Wu X C. Robust digital video watermarking algorithm against collusion attack [J]. Computer Applications, 2006, 26(04): 812-814.

[13] Lou O J, Wang X H. Adaptive Video Watermarking Algorithm with Lifting Scheme Wavelet and HVS[J]. Journal of Chinese Computer Systems, 2008, 29(04): 734-340.

[14] Liu H M, Hunag J W, Xiao Z M. An Adaptive Video Watermarking Algorithm in Wavelet Domain [J]. ACTA ELECTRONICA SINICA, 2001, 29(12): 1656-1660.