Abstract
In 2D-to-3D video conversion process, 3D video can be generated from 2D video and its corresponding depth map by depth image based rendering (DIBR). The depth map is the key in the conversion process as it provides immersive experience to viewers. So the copyright protection for depth map must be considered. Traditional unseen visible watermarking (UVW) for depth map protection cannot resist filtering attacks. In this paper, a robust unseen visible watermarking (RUVW) scheme is proposed, in which the watermark regions without interference are detected for embedding, the copyright information is enhanced with Discrete Cosine Transformation (DCT) and watermark can be seen directly when the rendering conditions are changed. The experimental results show that the proposed method has good robustness against various attacks such as scaling, filtering, noises and compression.
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References
Chuang, S., Huang, C.H., Wu, J.L.: Unseen visible watermarking. In: IEEE International Conference on Image Processing, ICIP 2007, pp. 261–264, 16–19 October 2007
Lin, Y.H., Wu, J.L.: Unseen visible watermarking for color plus depth map 3D images. In: IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 1801–1804 (2012)
Pei, S.C., Wang, Y.Y.: Auxiliary metadata delivery in view synthesis using depth no synthesis error model. IEEE Trans. Multimedia 17(1), 128–133 (2015)
Guan, Y., Zhu, Y., Liu, X., et al.: A digital blind watermarking scheme based on quantization index modulation in depth map for 3D video. In: International Conference on Control Automation Robotics & Vision, pp. 346–351 (2014)
Zitnick, C.L., Kang, S.B., Uyttendaele, M., Winder, S., Szeliski, R.: High-quality video view interpolation using a layered representation. In: ACM Transactions on Graphics (TOG), vol. 23, pp. 600–608. ACM (2004)
Fehn, C.: Depth-image-based rendering (DIBR), compression, and transmission for a new approach on 3D-TV. In: Stereoscopic Displays and Virtual Reality Systems XI, SPIE, vol. 5291, no. 1, pp. 93–104 (2004)
Scharstein, D., Szeliski, R.: Middlebury Stereo Datasets. http://vision.middlebury.edu/stereo/data/
Acknowledgments
This work is supported by the Shenzhen Municipal Development and Reform Commission (Disciplinary Development Program for Data Science and Intelligent Computing), and the Shenzhen Engineering Laboratory of Broadband Wireless Network Security.
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Li, Z., Zhu, Y., Luo, G. (2018). Robust Unseen Visible Watermarking for Depth Map Protection in 3D Video. In: Pan, JS., Tsai, PW., Watada, J., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2017. Smart Innovation, Systems and Technologies, vol 81. Springer, Cham. https://doi.org/10.1007/978-3-319-63856-0_40
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DOI: https://doi.org/10.1007/978-3-319-63856-0_40
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