Image analysis – Applications
Reexamination Certificate
2008-01-08
2008-01-08
Johns, Andrew W. (Department: 2624)
Image analysis
Applications
C382S291000, C382S293000
Reexamination Certificate
active
10884832
ABSTRACT:
A system and method for efficient recovery of watermarks from compressed video is disclosed, wherein, in one embodiment, cyclic watermark noise blocks are tiled and embedded in a plurality of frames of compressed video, quantized coefficients are computed for a group of compressed video frames on a pixel-by-pixel basis, the scaled coefficients for the group of compressed video frames are summed into an output transform frame, and the entire summed output transform frame is transformed to recover peak values for the group of compressed video frames to recover the watermark. Additionally, zero band normalization and edge filtering are also provided to increase the accuracy and efficiency of recovering watermarks from video frames.
REFERENCES:
patent: 4313984 (1982-02-01), Moraw et al.
patent: 5084790 (1992-01-01), Endoh
patent: 5144658 (1992-09-01), Takahashi
patent: 5809139 (1998-09-01), Girod et al.
patent: 5915027 (1999-06-01), Cox et al.
patent: 6047374 (2000-04-01), Barton
patent: 6108434 (2000-08-01), Cox et al.
patent: 6141441 (2000-10-01), Cass et al.
patent: 6282299 (2001-08-01), Tewfik et al.
patent: 6282300 (2001-08-01), Bloom et al.
patent: 6381341 (2002-04-01), Rhoads
patent: 6404926 (2002-06-01), Miyahara et al.
patent: 6424725 (2002-07-01), Rhoads et al.
patent: 6442283 (2002-08-01), Tewfik et al.
patent: 6463162 (2002-10-01), Vora
patent: 6556689 (2003-04-01), Xia et al.
patent: 6563937 (2003-05-01), Wendt
patent: 6567533 (2003-05-01), Rhoads
patent: 6680972 (2004-01-01), Liljeryd et al.
patent: 2001/0036292 (2001-11-01), Levy et al.
patent: 2002/0090107 (2002-07-01), Acharya et al.
patent: 2003/0012402 (2003-01-01), Ono
patent: 2003/0021439 (2003-01-01), Lubin et al.
patent: 2003/0215112 (2003-11-01), Rhoads et al.
patent: 0778566 (1997-06-01), None
patent: 2001-078010 (2001-03-01), None
patent: WO 97/26733 (1997-07-01), None
Kutter, M., “Watermarking Resisting to Translation, Rotation, and Scaling,” Signal Processing Laboratory, Swiss Federal Institute of Technology.
Loo et al., “Motion estimation based registration of geometrically distorted images for watermark recovery,” Proc. SPIE vol. 4314: Security and Watermarking of Multimedia Contents III, Jan. 2001, pp. 606-617.
Tefas, A., et al., “Multi-Bit Image Watermarking Robust To Geometric Distortions,” IEEE Article, pp. 710-713, 2000.
O Ruanaidh, J., et al., “Rotation, Scale and Translation Invariant Digital Image Watermarking,” IEEE Article, pp. 536-539, 1997.
Pereira, S., et al., “Template Based Recovery of Fourier-Based Watermarks Using Log-polar and Log-log Maps,” IEEE Article, pp. 870-874, 1999.
Pereira, S., et al., “Robust Template Matching for Affine Resistant Image Watermarks,” IEEE Article, pp. 1123-1129, 2000.
Delannay, D., et al., “Generalized 2-D Cyclic Patterns For Secret Watermark Generation,” IEEE Article, pp. 77-79, 2000.
Kutter, M., et al., “Towards Second Generation Watermarking Schemes,” IEEE Article, pp. 320-323, 1999.
Linnartz, J., et al., “Detecting Electronic Watermarks In Digital Video,” Philips Researchpp. 1-4.
Cox, et al., “Secure Spread Spectrum Watermarking for Multimedia,” NEC Research Institute Technical Reports, 1995, pp. 1-33.
Petitcolas, F., et al., “Information Hiding—A Survey,” IEEE Article, pp. 1062-1078, 1999.
Kaewkamnerd, N., et al., “Wavelet Based Watermarking Detection Using Multiresolution Image Registration,” IEEE Article, pp. II-171-II-175, 2000.
Hel-Or, H., et al., “Geometric Hashing Techniques For Watermarking,” IEEE Article, pp. 498-501, 2001.
Kutter, M., “Towards Affine Invariant Image Watermarking Schemes,” Swiss Federal Institute of Technology, Lausanne, pp. 1-27.
Pereira, S., et al., “Transform for Digital Image Watermarking,”.
Chotikakamthorn, N., et al., “Ring-shaped Digital Watermark for Rotated and Scaled Images Using Random-Phase Sinusoidal Function,” IEEE Article, pp. 321-325, 2001.
Alghoniemy, M., et al., “Image Watermarking By Moment Invariants,” IEEE Article, pp. 73-76, 2000.
Su et al., “Synchronized Detection of the Block-based Watermark with Invisible Grid Embedding,” Proc. SPIE vol. 4314: Security and Watermarking of Multimedia Contents III, Jan. 2001, pp. 406-417.
Alghoniemy et al., “Geometric Distortion Correction Through Image Normalization,” Proc. IEEE Int. Conf. on Multimedia and Expo 2000, vol. 3. Jul./Aug. 2000, pp. 1291-1294.
Kusanagi et al., “An Image Correction Scheme for Video Watermarking Extraction,” IEICE Trans. Fundamentals, vol. E84-A, No. 1, Jan. 2001, pp. 273-280.
Su et al., “A Content-Dependent Spatially Localized Video Watermark for Resistance to Collusion and Interpolation Attachs,” IEEE Proc. Int. Conf. on Image Processing, vol. 1, Oct. 2001, pp. 818-821.
Licks, V, et al., “On Digital Image Watermarking Robust To Geometric Transformations,” IEEE Article, pp. 690-693, 2000.
Termont, P., et al., “How To Achieve Robustness Against Scaling In A Real-Time Digital Watermarking System For Broadcsat Monitoring,” IEEE Article, pp. 407-410, 2000.
Shien Lu, C., et al., “Video Object-Based Watermarking: A Rotation and Flipping Resilient Scheme,” IEEE Article, pp. 483-486, 2001.
Mora-Jimenez, I., “A New Spread Spectrum Watermarking Method With Self-Synchronization Capabilities,” IEEE Article, pp. 415-418, 2000.
Burak Ozer, I., et al., “A New Method For Detection Of Watermarks In Geometrically Distorted Images,” IEEE Article, pp. 1963-1966, 2000.
Anderson, R., et al., “Information Hiding An Annotated Bibliography,” Computer Laboratory, University of Cambridge, pp. 1-62.
Maes, M., et al., “Exploiting Shift Invariance to Obtain a High Payload in Digital Image Watermarking,” IEEE Article, pp. 7-12, 1999.
Berghel, et al., “Protecting ownership rights through digital watermarking,” Internet Kiosk, XP 000613936, Jul. 1996, pp. 101-103.
Braudaway et al., “Automatic recovery of invisible image watermarks from geometrically distorted images,” Proc. SPIE Vo. 3971: Security and Watermarking Multimedia Contents II, Jan. 2000, pp. 74-81.
Termont, P., et al., “Performance Measurements of a Real-time Digital Watermarking System for Broadcast Monitoring,” IEEE Article, pp. 220-224, 1999.
Voloshynovskiy, S., et al., “Multibit Digital Watermarking Robust Against Local Nonlinear Geometrical Distortions,” IEEE Article, pp. 999-1002, 2001.
Caldelli, R., et al., “Geometric-Invariant Robust Watermarking Through Constellation Matching In The Frequency Doman,” IEEE Article, pp. 65-68, 2000.
Tsekeridou, S., et al., “Wavelet-Based Self-Similar Watermarking For Still Images,” IEEE Article, pp. I-220-I-223, 2000.
Tsekeridou, S., et al., “Copyright Protection of Still Images Using Self-Similar Chaotic Watermarks,” IEEE Article, pp. 411-414, 2000.
Hong, M., et al., “A Private/Public Key Watermarking Technique Robust To Spatial Scaling,” IEEE Article, pp. 102-103, 1999.
Solachidis, V., et al., “Circularly Symmetric Watermark Embedding in 2-D DFT Domain,” IEEE Article, pp. 3469-3472, 1999.
Delannay, D., et al., “Compensation of Geometrical Deformations for Watermark Extraction in the Digital Cimena Application,” Proc. SPIE vol. 4314: Security and Watermarking of Multimedia Contents III, Jan. 2001, pp. 149-157.
Lin, C., et al., “Rotation, Scale, and Translation Resilient Watermarking for Images,” IEEE Article, pp. 767-782, 2001.
Ni, Z., et al., “Enhancing Robustness of Digital Watermarking against Geometric Attack Based on Fractal Transform,” IEEE Article, pp. 1033-1036, 2000.
Johns Andrew W.
Lerner David Littenberg Krumholz & Mentlik LLP
Sony Electronics Inc.
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