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DWT Collusion Resistant Video Watermarking Using Tardos Family Codes

Abdul Rehman 1, 2 Gaëtan Le Guelvouit 1 Jean Dion 1 Frédéric Guilloud 3, 2 Matthieu Arzel 4, 2 
3 Lab-STICC_COSYDE - Equipe Communication System Design
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance : UMR6285
4 Lab-STICC_2AI - Equipe Algorithm Architecture Interactions
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance : UMR6285
Abstract : A fingerprinting process is an efficient means of protecting multimedia content and preventing illegal distribution. The goal is to find individuals who were engaged in the production and illicit distribution of a multimedia product. We investigated discrete wavelet transform (DWT) based blind video watermarking strategy tied with probabilistic fingerprinting codes to avoid collusion among higherresolution videos. We used FFmpeg to run a variety of collusion attacks (e.g., averaging, darkening, and lighten) on high resolution video and compared the most often suggested code generator and decoders in the literature to find at least one colluder within the necessary code length. The Laarhoven codes generator and nearest neighbor search (NNS) decoder outperforms all other suggested generators and decoders in the literature in terms of computational time, colluder detection and resources.
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https://hal.archives-ouvertes.fr/hal-03767220
Contributor : Abdul Rehman Connect in order to contact the contributor
Submitted on : Thursday, September 1, 2022 - 4:50:42 PM
Last modification on : Thursday, September 22, 2022 - 5:08:59 AM

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  • HAL Id : hal-03767220, version 1

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Abdul Rehman, Gaëtan Le Guelvouit, Jean Dion, Frédéric Guilloud, Matthieu Arzel. DWT Collusion Resistant Video Watermarking Using Tardos Family Codes. Fifth IEEE International Conference on Image Processing, Applications and Systems (IPAS 2022), Dec 2022, Genoa, Italy. ⟨hal-03767220⟩

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