Methods for embedding image, audio and video watermarks in...

Image analysis – Applications

Reexamination Certificate

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Reexamination Certificate

active

06983057

ABSTRACT:
A method for embedding an entire image, audio or video watermark sequence within another image, audio or video data sequence with minimum loss of data quality is presented. The method exploits the de-correlation property of data coefficients in the orthogonal transform domain, similar to the application in data compression through transform coding. The present invention describes the usage of a Discrete Cosine Transform as the embedding domain. However, other orthogonal transforms such as Fourier, Walsh-Hadamard, Haar, Sine and Wavelet can also be used for this operation. A unique key derived adaptively from spatial locations registering the thresholds of the ac transform energies is used to unlock or de-watermark the embedded image or audio sequence. Moreover, an exponential filter has been developed to compress and expand the watermark coefficients prior to the embedding and retrieval process. The method can be used in resolving multimedia copyright protection issues arising on the Internet and in the music industry, such as the inclusion of a company's logo or an artist's recorded voice. The method can also be incorporated as a built-in feature for digital recording devices, such as still and video cameras, as well as more recent devices such as VCD and DVD players. Moreover, the method can be applied to the commercial and service sectors, where security in transmission and reception of private information in terms of speech or image is of the utmost importance.

REFERENCES:
patent: 5859920 (1999-01-01), Daly et al.
patent: 6359998 (2002-03-01), Cooklev
patent: 6427020 (2002-07-01), Rhoads
patent: 0766468 (1997-04-01), None
patent: 0840513 (1998-05-01), None
patent: 0855681 (1998-07-01), None
Zhao, et al., “Embedding Robust Labels into Image for Copyright Protection,” Proc. Of Int. Congress on IP Rights for Specialized Information, Knowledge and New Technologies, Vienna, Aug. 1995, pp. 1-10.
Ohnishi, et al., “Embedding a seal into a Picture under Orthogonal Wavelet Transform,” IEEE, 1996, pp. 514-521.

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