Anonymous Editing Prevention Technique Using Gradient Method for High-Quality Video
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32807
Anonymous Editing Prevention Technique Using Gradient Method for High-Quality Video

Authors: Jiwon Lee, Chanho Jung, Si-Hwan Jang, Kyung-Ill Kim, Sanghyun Joo, Wook-Ho Son

Abstract:

Since the advances in digital imaging technologies have led to development of high quality digital devices, there are a lot of illegal copies of copyrighted video content on the Internet. Also, unauthorized editing is occurred frequently. Thus, we propose an editing prevention technique for high-quality (HQ) video that can prevent these illegally edited copies from spreading out. The proposed technique is applied spatial and temporal gradient methods to improve the fidelity and detection performance. Also, the scheme duplicates the embedding signal temporally to alleviate the signal reduction caused by geometric and signal-processing distortions. Experimental results show that the proposed scheme achieves better performance than previously proposed schemes and it has high fidelity. The proposed scheme can be used in unauthorized access prevention method of visual communication or traitor tracking applications which need fast detection process to prevent illegally edited video content from spreading out.

Keywords: Editing prevention technique, gradient method, high-quality video, luminance change, visual communication.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1110535

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1870

References:


[1] J. O. Ruanaidh and T. Pun, “Rotation, scale, and translation invariant spread spectrum digital image watermarking,” Signal Processing, vol. 66, no. 3, pp. 303–317, May. 1998.
[2] C. Lin, J. Bloom, I. Cox, M. Miller, and Y. Lui, “Rotation, scale, and translation-resilient watermarking for images,” IEEE Trans. Image Processing, vol. 10, no. 5, pp. 767–782, May. 2001.
[3] M. Alghoniemy and A. Tewfik, “Geometric distortion correction in image watermarking,” in Proc. SPIE, vol. 3971, pp. 82–89, May. 2000.
[4] P. Bas, J. Chassery, and B. Macq, “Geometrically invariant watermarking using feature points,” IEEE Trans. Image Processing, vol. 11, no. 9, pp. 1014–1028, Sep. 2002.
[5] S. Pereira and T. Pun, “Robust template matching for affine resistant image watermarks,” IEEE Trans. Image Processing, vol. 9, no. 6, pp. 1123–1129, Jun. 2000.
[6] M. Kutter, “Watermarking resisting to translation, rotation, and scaling,” in Proc. SPIE, vol. 3528, pp. 423–431. Jan. 1999.
[7] S. Voloshynovskiy, R. Deguillaume, and T. Pun, “Multibit digital watermarking robust against local nonlinear geometrical distortions,” in Proc. ICIP, vol. 3, pp. 999–1002, Oct. 2001.
[8] A. V. Leest, J. Haitsma, and T. Kalker, “On digital cinema and watermarking,” in Proc. SPIE, vol. 5020, pp.526–535, Jun. 2003.
[9] M. J. Lee, K. S. Kim, H. Y. Lee, T. W. Oh, Y. H. Suh, and H. K. Lee, “Robust watermark detection against d-a/a-d conversion for digital cinema using local auto-correlation function,” in Proc. ICIP, vol. 37, pp.425–428. Oct. 2008.