Paper
5 April 2000 Multimedia authenticity with ICA watermarks
Steven E. Noel, Harold H. Szu
Author Affiliations +
Abstract
For the first time the blind source de-mixing is applied to authenticity protection for multimedia products. We give an overview of the current sate of multimedia authenticity protection, including the requirements of various multimedia applications, based on the ICA seeking statistically factorized probability density and yielding a fast de-mixing computing using unsupervised ANNs. We describe how their blind demixing capability extends signal processing from the conventional one-sensor approach to a multi-sensor approach, as in the 2 eyes and 2 ears of human sensor system but packaged in a spatio-temporal multiplexing fashion. For trademark security, a covert ICA can serve as a dormant digital watermark embedded within the multimedia data. Unauthorized removal of the trademark as plagiarism could degrade the quality of the content dat. We show how these new approaches contribute to a flexible, robust, and relatively secure system for protecting the authenticity of multimedia products.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steven E. Noel and Harold H. Szu "Multimedia authenticity with ICA watermarks", Proc. SPIE 4056, Wavelet Applications VII, (5 April 2000); https://doi.org/10.1117/12.381712
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CITATIONS
Cited by 10 scholarly publications.
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KEYWORDS
Multimedia

Digital watermarking

Independent component analysis

Neural networks

Sensors

Image compression

Signal processing

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