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Proceedings Paper

A low-rate fingerprinting code and its application to blind image fingerprinting
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Paper Abstract

In fingerprinting, a signature, unique to each user, is embedded in each distributed copy of a multimedia content, in order to identify potential illegal redistributors. This paper investigates digital fingerprinting problems involving millions of users and a handful of colluders. In such problems the rate of the fingerprinting code is often well below fingerprinting capacity, and the use of codes with large minimum distance emerges as a natural design. However, optimal decoding is a formidable computational problem. We investigate a design based on a Reed-Solomon outer code modulated onto an orthonormal constellation, and the Guruswami-Sudan decoding algorithm. We analyze the potential and limitations of this scheme and assess its performance by means of Monte-Carlo simulations. In the second part of this paper, we apply this scheme to a blind image fingerprinting problem, using a linear cancellation technique for embedding in the wavelet domain. Dramatic improvements are obtained over previous blind image fingerprinting algorithms.

Paper Details

Date Published: 18 March 2008
PDF: 7 pages
Proc. SPIE 6819, Security, Forensics, Steganography, and Watermarking of Multimedia Contents X, 681907 (18 March 2008); doi: 10.1117/12.767846
Show Author Affiliations
Jean-Francois Jourdas, Univ. of Illinois at Urbana-Champaign (United States)
Pierre Moulin, Univ. of Illinois at Urbana-Champaign (United States)

Published in SPIE Proceedings Vol. 6819:
Security, Forensics, Steganography, and Watermarking of Multimedia Contents X
Edward J. Delp; Ping Wah Wong; Jana Dittmann; Nasir D. Memon, Editor(s)

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