Abstract
Fingerprinting is used to determine originators of unauthorized copies. Multiple users may collude by creating an average or median of their individual fingerprinted copies. Early fingerprinting research including ACC (anti-collusion code) cannot support large number of users. There have been two fingerprint researches for practically large user group support: SACC (scalable ACC) scheme and MC-CDMA (multi-carrier code-division multi-access) based fingerprinting scheme. In SACC scheme, they use a codebook extending ACC using Gaussian distributed random variable and use angular decoding scheme for average, median, LCCA attack robustness. MC-CDMA scheme uses direct spreading approach for identifying large group of users. In this paper, we compare two schemes in three aspects: imaging quality, computational complexity, and user capacity. Our experimental results show that SACC scheme has achieved better imaging quality and lower computational complexity which are important for video fingerprinting performance. MC-CDMA scheme outperforms SACC in user capacity as MC-CDMA uses direct spreading based CDMA approach while SACC uses a frequency hopping based CDMA approach.
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References
Seol, J.M., Kim, S.W.: Scalable Fingerprinting Scheme Using Statistically Secure Anti-collusion Code for Large Scale Contents Distribution. In: Sha, E., Han, S.-K., Xu, C.-Z., Kim, M.-H., Yang, L.T., Xiao, B. (eds.) EUC 2006. LNCS, vol. 4096, pp. 560–569. Springer, Heidelberg (2006)
Trappe, W., Wu, M., Wangm, Z.J., Liu, K.J.R.: Anti-Collusion Fingerprinting for Multimedia. IEEE Trans. Signal Proc. 51(2), 1069–1087 (2003)
Wu, Y.: Linear Combination Collusion Attacks and Its Application on Anti-Collusion Fingerprinting. In: IEEE Conf. on Acoustics, Speech, and Signal Processing, vol. 11(5), pp. 1069–1087 (2005)
Tugnait, J.K., Tong, L., Ding, Z.: Single-user Channel Estimation and Equalization. IEEE Signal Process. Mag. 17(2), 16–28 (2000)
Cha, B.H., Kuo, C.C.: Design of Collusion-free Hiding Codes using MAI-free Principle. In: Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Honolulu, HI, pp. 145–148 (2007)
Podilchuk, C.I., Zeng, W.: Image-adaptive Watermarking using Visual Models. IEEE J. Sel. Areas Commun. 16(4), 525–539 (1998)
Tsai, S.H., Lin, Y.P.: MAI-free MC-CDMA Systems on Hadamard–Walsh Codes. IEEE Trans. Signal Process. 54(8), 3166–3179 (2006)
Arora, S., Barak, B.: Computational Complexity: Modern Approach (2009)
Cha, B.H., Kuo, C.C.: Design and Analysis of High-Capacity Anti-Collusion Hiding Codes. J. Circuits, Syst., Signal Process. 27(2), 195–211 (2008)
Xiph.org Test Media, http://media.xiph.org/video/derf/
Huynh-Thu, Q., Ghanbari, M.: Scope of Validity of PSNR in Image Quality Assessment. Electronics Letters 44(2), 800–801 (2008)
Video Quality Experts Group, http://www.vqeg.org/
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Feng, L., Kim, S.W. (2012). Comparison of Scalable ACC and MC-CDMA for Practical Video Fingerprinting Scheme. In: Huang, DS., Gan, Y., Gupta, P., Gromiha, M.M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2011. Lecture Notes in Computer Science(), vol 6839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25944-9_60
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DOI: https://doi.org/10.1007/978-3-642-25944-9_60
Publisher Name: Springer, Berlin, Heidelberg
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