Abstract
With the increment of digital media, multimedia technology and copyright protection have been the important issue. In this paper, an effective watermarking algorithm is proposed to protect copyright of video data. In the watermark embedding step, a three-dimensional discrete wavelet transform (3D DWT) is used to decompose original video data, because a pirate can easily extract the watermark by statistically comparing successive frames in case that the watermark is embedded in spatial doamin. The binary image is used as the watermark. It is changed into the video watermark by a two-dimensional (2D) pseudorandom permutation and the spread spectrum technique. The video watermark is embedded into the 3D DWT coefficients of the selected subbands. In the watermark extracting step, the embedded video watermark is detected by the similarity of the unit of subband and the final watermark image is extracted by a watermark decision rule and a reverse permutation. Experimental results show that the watermarked frames are subjectively indistinguishable from the original frames, plus the proposed video watermarking algorithm is sufficiently robust against various attacks.
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References
Wolfgang, R.B., Pdilchuk, C.I., Delp, E.J.: Perceptual watermarks for digital images and video. Proc. of the IEEE 87(7), 1108–1126 (1999)
Hsu, C.T., Wu, J.L.: Hidden digital watermarks in images. IEEE Trans. Image Processing 8(1), 58–68 (1999)
Fabien, A.P., Petitcolas: Watermarking schemes evaluation. IEEE Signal Proc. Magazine 17, 58–64 (2000)
Hartung, F., Girod, B.: Watermarking o uncompressed and compressed video. Signal Proc. 66(3), 283–301 (1998)
Swanson, M.D., Zhu, B., Tewfik, A.H.: Multiresolution scene-based video watermarking using perceptual models. IEEE Journal Selected Areas in Communication 16(4), 540–550 (1998)
Hsu, C.T., Wu, J.L.: Dct-based watermarking for video. IEEE Trans. Consumer Electronics 44(1), 206–216 (1998)
Niu, X., Sun, S., Xiang, W.: Multiresolution watermarking for video based on gray-level digital watermark. IEEE Trans. Consumer Electronics 46(2), 375–384 (2000)
Li, Y., Gao, X.: A 3D wavelet based spatial-temporal approach for video watermarking. In: ICCIMA 2003 Proc., pp. 260–265 (2003)
Cox, I.J., Kilian, I., Leighton, T., Shamoon, T.: Secure spread spectrum watermarking for multimedia. IEEE Trans. Image Proc. 6(12), 1673–1687 (1997)
Sklar, B.: Digital communications. Prentice-Hall, Englewood Cliffs (1988)
Ruanaidh, J.J.K.O., Csurka, G.: A bayesian approach to spread spectrum watermark detection and secure copyright protection of digital Image libraries. IEEE Conf. Computer Vision and Pattern Recognition 1, 23–25 (1999)
Antonini, M., Barlaud, M., Mathieu, P., Daubechies, I.: Image coding using wavelet transform. IEEE Trans. on Image Processing 1(2), 205–220 (1992)
Podilchuk, C.I., Jayant, N.S., Farvardin, N.: Three-dimensional subband coding of video. IEEE Trans. Image Processing 4(2), 125–139 (1995)
Gao, X., Tang, X.: Unsupervised video-shot segmentation and model-free anchorperson detection for news video story parsing. IEEE Trans. Circuits and Systems for Video Tech. 12(9), 765–776 (2002)
Podilchuk, C.I., Delp, E.J.: Digital watermarking: algorithms and applications. IEEE Signal Proc. Magazine 18(4), 33–46 (2001)
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© 2005 Springer-Verlag Berlin Heidelberg
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Kim, SJ., Kim, TS., Kwon, KR., Ahn, SH., Lee, KI. (2005). Digital Watermarking Based on Three-Dimensional Wavelet Transform for Video Data. In: Ho, YS., Kim, HJ. (eds) Advances in Multimedia Information Processing - PCM 2005. PCM 2005. Lecture Notes in Computer Science, vol 3768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11582267_30
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DOI: https://doi.org/10.1007/11582267_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30040-3
Online ISBN: 978-3-540-32131-6
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