Geometric distortion insensitive image watermarking in affine covariant regions

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

Volumn 40, Issue 3, 2010, Pages 278-286

  Gao, Xinbo ^a   Deng, Cheng ^a   Li, Xuelong ^b   Tao, Dacheng ^c  

^a XIDIAN UNIVERSITY   (China)

^b XI AN INSTITUTE OF OPTICS AND PRECISION MECHANICS   (China)

^c NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Affine covariant region (ACR); Dominant gradient; Image normalization; Image watermarking; Orientation alignment

Indexed keywords

AFFINE TRANSFORMATIONS; DEGREE OF ROBUSTNESS; DOMINANT GRADIENT; FEATURE SELECTION; FEATURE-BASED; GEOMETRIC DISTORTION; GRADIENT IMAGES; IMAGE SETS; IMAGE WATERMARKING; INVARIANT REGIONS; RANDOM BENDING ATTACKS; ROTATION , SCALING , AND TRANSLATIONS; THREE COMPONENT; WATERMARKING SCHEMES;

ALIGNMENT; CLUSTERING ALGORITHMS; FEATURE EXTRACTION; GEOMETRY; IMAGE QUALITY;

WATERMARKING;

EID: 77951206069     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCC.2009.2037512     Document Type: Article

References (27)

1. D. Zheng, Y. Liu, and J. Zhao, "A survey of RST invariant image watermarking algorithms," ACM Comput. Surv., vol.39, no.2, pp. 1-91, Jun. 2007.
2. Z. Zhao, N. Yu, and X. Li, "A novel video watermarking scheme in compression domain based on fast motion estimation," in Proc. IEEE Int. Conf. Commun. Technol., 2003, pp. 1878-1882.
3. J. K. O'Ruanaidh and T. Pun, "Rotation, scale and translation invariant spread spectrum digital image watermarking," Signal Process., vol.66, no.3, pp. 303-317, Aug. 1998.
4. S. Pereira and T. Pun, "Robust template matching for affine resistant image watermarks," IEEE Trans. Image Process., vol.9, no.6, pp. 1123-1129, Jun. 2000.
5. P. Bas, J. M. Chassery, and B. Macq, "Geometrically invariant watermarking using feature points," IEEE Trans. Image Process., vol.11, no.9, pp. 1014-1028, Sep. 2002.
6. C.W. Tang and H. M. Hang, "A feature-based robust digital image watermarking scheme," IEEE Trans. Signal Process., vol.51, no.4, pp. 950- 959, Apr. 2003.
7. J. S. Seo and C. D. Yoo, "Localized image watermarking based on feature points of scale-space representation," Pattern Recogn., vol.37, no.7, pp. 1365-1375, Jul. 2004.
8. J. S. Seo and C. D. Yoo, "Image watermarking based on invariant regions of scale-space representation," IEEE Trans. Signal Process., vol.54, no.4, pp. 1537-1549, Apr. 2006.
9. K. Mikolajczyk and C. Schmid, "Scale & affine-invariant interest point detectors," Int. J. Comput. Vis., vol.60, no.1, pp. 63-86, Oct. 2004.
10. K. Mikolajczyk and C. Schmid, "Acomparison of affine region detectors," Int. J. Comput. Vis., vol. 65, no. 1/2, pp. 43-72, Nov. 2005.
11. S. Lazebnik, C. Schmid, and J. Ponce, "A sparse texture representation using local affine regions," IEEE Trans. Pattern Anal. Mach. Intell., vol.27, no.8, pp. 1265-1278, Aug. 2005.
12. T. Lindeberg and J. Garding, "Shaped-adapted smoothing in estimation of 3-D shape cues from affine deformation of local 2-D brightness structure," Image Vis. Comput., vol.15, no.6, pp. 415-434, Jun. 1997.
13. A. Baumberg, "Reliable feature matching across widely separated views," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recogn., Jun. 2000, vol.1, pp. 774-781.
14. H. Y. Lee, H. S. Kim, and H. K. Lee, "Robust image watermarking using local invariant features," Opt. Eng., vol.45, no.3, pp. 1-11, Mar. 2006.
15. C. Deng, X. Gao, X. Li, and D. Tao, "A local Tchebichef moments-based robust image watermarking," Signal Process., vol.89, no.8, pp. 1531- 1539, Aug. 2009.
16. C. Deng, X. Gao, X. Li, and D. Tao, "Geometrically invariant watermarking using affine covariant regions," in Proc. IEEE Int. Conf. Image Process., San Diego, CA, Oct. 2008, vol.4, pp. 413-416.
17. J. C. Gower and G. J. S. Ross, "Minimum spanning tree and single linkage cluster analysis," Appl. Statist., vol.18, no.1, pp. 54-64, Jan. 1969.
18. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol.60, no.2, pp. 91-110, Nov. 2004.
19. S. Voloshynovskiy, A. Herrigel, N. Baumgrtner, and T. Pun, "A stochastic approach to content adaptive digital image watermarking," in Proc. 3rd Int. Workshop Inf. Hiding, Dresden, Germany, 1999, pp. 212-236.
20. C. S. Lu, S. W. Sun, C. Y. Hsu, and P. C. Chang, "Media hash-dependent image watermarking resilient against both geometric attacks and estimation attacks based on false positive-oriented detection," IEEE Trans. Multimedia, vol.8, no.4, pp. 668-685, Aug. 2006.
21. F. A. P. Petitcolas, "Watermarking schemes evaluation," IEEE Signal Process. Mag., vol.17, no.5, pp. 58-64, Sep. 2000.
22. Y. Pang, Y. Yuan, and X. Li, "Gabor-based region covariance matrices for face recognition," IEEE Trans. Circuits Syst. Video Technol., vol.18, no.7, pp. 989-993, Jul. 2008.
23. S. C. Chu, H. C. Huang, Y. Shi, S. Y. Wu, and C. S. Shieh, "Genetic watermarking for zero tree-based application," Circuits, Syst., Signal Process., vol.27, no.2, pp. 171-182, 2008.
24. H. C. Huang, C. M. Chu, and J. S. Pan, "The optimized copyright protection system with genetic watermarking," Soft Comput., vol.13, no.4, pp. 333-343, 2009.
25. X. Li, "Watermarking in secure image retrieval," Pattern Recogn. Lett., vol.24, no.14, pp. 2431-2434, 2003.
26. D. Tao, X. Li, and S. Maybank, "Negative samples analysis in relevance feedback," IEEE Trans. Knowl. Data Eng., vol.19, no.4, pp. 568-580, Apr. 2007.
27. J. Li, N. Allinson, D. Tao, and X. Li, "Multitraining support vector machine for image retrieval," IEEE Trans. Image Process., vol.15, no.11, pp. 3597-3601, Nov. 2006. (Pubitemid 44615153)