Collusion Resistant Watermarking Using Convolutional Encoding and Random Spreading - Equipe Algorithm Architecture Interactions
Conference Papers Year : 2024

Collusion Resistant Watermarking Using Convolutional Encoding and Random 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.
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Dates and versions

hal-04563933 , version 1 (30-04-2024)

Identifiers

  • HAL Id : hal-04563933 , version 1

Cite

Abdul Rehman, Gaëtan Le Guelvouit, Jean Dion, Frédéric Guilloud, Matthieu Arzel. Collusion Resistant Watermarking Using Convolutional Encoding and Random Spreading. ICWMC 2024, The 20th International Conference on Wireless and Mobile Communications, Mar 2024, Athènes, Greece. ⟨hal-04563933⟩
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