Independent component analysis for domain independent watermarking

Bounkong, Stephane, Saad, David and Lowe, David (2002). Independent component analysis for domain independent watermarking. IN: Artificial Neural Networks — ICANN 2002. Dorronso, Jose R. (ed.) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2415 . ESP: Springer.

Abstract

A new principled domain independent watermarking framework is presented. The new approach is based on embedding the message in statistically independent sources of the covertext to mimimise covertext distortion, maximise the information embedding rate and improve the method's robustness against various attacks. Experiments comparing the performance of the new approach, on several standard attacks show the current proposed approach to be competitive with other state of the art domain-specific methods.

Publication DOI: https://doi.org/10.1007/3-540-46084-5_83
Divisions: Engineering & Applied Sciences > Mathematics
Engineering & Applied Sciences > Systems analytics research institute (SARI)
Additional Information: The original publication is available at www.springerlink.com
Event Title: Artificial Neural Networks 2002
Event Type: Other
Event Dates: 2002-08-28 - 2002-08-30
Uncontrolled Keywords: watermarking framework,covertext distortion,information embedding rate,Computer Science(all),Theoretical Computer Science
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
http://www.spri ... 7h077thv8qbevj/ (Publisher URL)
Published Date: 2002-01-01
Authors: Bounkong, Stephane
Saad, David ( 0000-0001-9821-2623)
Lowe, David

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Version: Accepted Version


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