Swarm intelligence based fuzzy C-means clustering for motion vector selection in video watermarking

International Journal of Fuzzy Systems

Volumn 10, Issue 3, 2008, Pages 185-194

  Lin, Daw Tung ^a   Liao, Guan Jhih ^b  

^a NATIONAL TAIPEI UNIVERSITY   (Taiwan)

^b NONE

Author keywords

Compressed video; Fuzzy C means; Motion vector; Swarm intelligence based FCM; Video watermarking

Indexed keywords

FUZZY SYSTEMS; SWARM INTELLIGENCE; WATERMARKING;

C-MEANS; COMPRESSED VIDEO; FUZZY C-MEAN; FUZZY C-MEANS CLUSTERING; MOTION VECTORS; SWARM INTELLIGENCE BASED FCM; VECTOR SELECTIONS; VIDEO WATERMARKING; WATERMARK BITS; WATERMARKING SYSTEMS;

VECTORS;

EID: 52649127365     PISSN: 15622479     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (23)

1. I. Cox, M. Miller, and J. Bloom. Digital Watermarking. Morgan Kaufmann, 2001.
2. J. S. Pan, H. C. Huang, L. C. Jain, and W. C. Fang. Intelligent Multimedia Data Hiding: New Directions. Springer, 2007.
3. S. Bhattacharya, T. Chattopadhyay, and A. Pal, "A survey on different video watermarking techniques and comparative analysis with reference to H.264/AVC," In IEEE Trans. On Image Processing, pp. 73-78, June 2006.
4. F. Hartung and B. Girod, "Watermarking of uncompressed and compressed video," Signal Processing, vol. 66, no. 6, pp. 283-301, May 1998.
5. J. Zhang, A. T. S. Ho, G. Qui, and P. Marziliano, "Robust video watermarking of h.264/avc," IEEE Transactions on Circuits and Systems, vol. 54, no. 2, 2007.
6. S. Biswas, S. R. Das, and E. M. Petriu, "An adaptive compressed mpeg-2 video watermarking scheme," IEEE transactions on Instrumentation and Measurement, vol. 54, no. 5, pp. 1853-1861, Oct. 2005.
7. C.-S. Lu and H.-Y. M. Liao. Multipurpose watermarking for image authentication and protection. IEEE Trans on Image Processing, 10(10), Oct. 2001.
8. P.W. Chan, M.R. Lyu, and R.T. Chin, "A novel scheme for hybrid digital video watermarking: approach, evaluation and experimentation," IEEE Transactions on Circuits and Systems for Video Technology, vol. 15, no. 12, pp.1638-1649, 2005.
9. X. Kong, Y. Lui, H. Lui, and D. Yang, "Object watermarks for digital images and video," In Image and Vision Computing, pp. 583-594, 2004.
10. F. Jordan, M. Kutter, and T. Ebrahimi, "Proposal of a watermarking technique for hiding/retrieving data in compressed and decompressed video," ISO/IEC Doc. JTC1/SC29/WG11 MPEG97/M2281, 1997.
11. D.Y. Fang and L.W. Chang, "Information hiding in digital video with phase angle of motion vector," Master's thesis, Department of Computer and Information Science, National Tsing Hua University, Hsinchu, Taiwan, Republic of China, 2004.
12. J. Zhang, J. Li, and L. Zhang, "Video watermark technique in motion vector," In Proc. Xiv Brazilian symp. Computer Graphics and Image Processing, pp. 179-182, Oct. 2001.
13. C.H. Kung, J.H. Jeng, Y.C. Lee, H.H. Hsiao and W.S. Cheng, "Video watermarking using motion vector," In 16th IPPR Conference on Computer Vision Graphics and Image Processing (CVGIP 2003), pp. 547-551, Aug. 2003.
14. Z.M. Lu, Y.N. Li, H.X. Wang, and S.H. Sun, "Multipurpose video watermarking algorithm in the hybrid compressed domain," Information Security, IEE Proceedings, vol. 153, no. 4, pp. 173-182, 2006.
15. R. Wang, Q. Cheng, and T. Huang, "Identify regions of interest for video watermark embedment with principle component analysis," In ACM Multimedia 2000 Los Angeles CA, pp. 459-461, Oct. 2001.
16. D.-T. Lin and G.-J. Liao, "Embedding watermarks in compressed video using fuzzy c-means clustering," IEEE International Conference of System Man and Cybernetics, 2008.
17. J.B. MacQueen, "Some methods for classification and analysis of multivariate observations," In Proceedings of the Fifth Symposium on Math, Statistics, and Probability, pp. 281-297, July 1967.
18. H. Zha, C. Ding, M. Gu, X. He, and H.D. Simon, "Spectral relaxation for k-means clustering," In Neural Information Processing Systems vol.14 (NIPS 2001), pp. 1057-1064, Dec. 2001.
19. J. C. Bezdek, "Fuzzy mathematics in pattern classification," Master's thesis, Cornell University, Ithaca, 1973.
20. J.L. Deneubourg, S. Goss, N. Franks, A. Sendova-Franks, C. Detrain, and L. Chrétien, "The dynamics of collective sorting robot-like ants and ant-like robots," Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats table of contents, pp. 356-363, 1991.
21. W. Bin, Z. Yi, L. Shaohui, and S. Zhongzhi, "Csim: A document clustering algorithm based on swarm intelligence," In Proceedings of the IEEE, pp. 477-482, Oct. 2002.
22. N. Monmarche, M. Slimane, and G. Venturing "AntClass: discovery of clusters in numeric data by an hybridization of an ant colony with the kmeans algorithm," Internal Report, pp. 1-21, 1999.
23. nd International Conference of the North American Fuzzy Information Processing Society, pp. 227-232, Oct. 2003.