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Collusion Resistant Watermarking Using Convolutional Encoding and Random Spreading

Authors:
Abdul Rehman
Gaetan Le Guelvouit
Jean Dion
Frederic Guilloud
Matthieu Arzel

Keywords: ideo watermarking; collusion; fingerprinting codes; convolutional encoding; spreading.

Abstract:
This paper presents a Discrete Wavelet Transform based collusion resistant video watermarking to trace colluders involved in unauthorized video distribution. Our scheme uses Tardos-Skoric codes as fingerprints. To reduce the errors on the fingerprinting codes, we propose a joint scheme that combines pseudo-random spreading sequences and convolutional codes. The performance when the fingerprint embedding and the attack are simulated as a binary symmetric channel proves that the proposed scheme performs better in terms of bit error rate and in terms of colluders tracing using binary attacks. Simulations of a darken attack on the watermarked videos show promising results for low to moderate opacities of the fingerprint embedding.

Pages: 7 to 11

Copyright: Copyright (c) IARIA, 2024

Publication date: March 10, 2024

Published in: conference

ISSN: 2308-4219

ISBN: 978-1-68558-131-2

Location: Athens, Greece

Dates: from March 10, 2024 to March 14, 2024