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Authors: Asma Kerbiche 1 ; Saoussen Ben Jabra 1 ; Ezzeddine Zagrouba 1 and Vincent Charvillat 2

Affiliations: 1 Lab. LIMTIC, High Institute of Computer Science and University of Tunis El Manar, Tunisia ; 2 Lab IRIT, Team of Research VORTEX, ENSEEIHT, INP Toulouse and University of Toulouse, France

ISBN: 978-989-758-290-5

Keyword(s): Dataset, Video Watermarking, Camcording Attack, Robustness Evaluation, Camcording Simulators.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Camera Networks and Vision ; Computer Vision, Visualization and Computer Graphics ; Device Calibration, Characterization and Modeling ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Media Watermarking and Security

Abstract: Any video watermarking scheme dedicated to copyright protection should be robust against several attacks and especially against malicious and dangerous attacks such as camcording. Indeed, this attack has become a real problem for cinematographic production companies. However, until now the researchers don't evaluate the robustness of their video watermarking approaches against this attack or they consider it as a combination of some usual attacks. To resolve this problem, several studies proposed camcording simulators which encourage and help researchers in video watermarking domain to include the camcording in the robustness evaluation. In this paper, a dataset of camcorder videos dedicated to an efficient robustness evaluation of watermarking schemes is proposed which can help researches on camcording simulators' creation. In this dataset, videos are captured in realistic scenarios in the cinema and are recorded using five capture devices and from four positions. In more, the propo sed dataset contains marked versions of the proposed videos using three different video watermarking techniques. This allows researchers comparing their approaches with these techniques. Experimental results show that the robustness evaluation based on the proposed dataset is more efficient than simulators based evaluation thanks to the diversity of the used capturing devices and the real conditions of videos recording. (More)

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Paper citation in several formats:
Kerbiche, A.; Ben Jabra, S.; Zagrouba, E. and Charvillat, V. (2018). A Video Dataset for an Efficient Camcording Attack Evaluation.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, ISBN 978-989-758-290-5, pages 150-158. DOI: 10.5220/0006617201500158

@conference{visapp18,
author={Asma Kerbiche. and Saoussen Ben Jabra. and Ezzeddine Zagrouba. and Vincent Charvillat.},
title={A Video Dataset for an Efficient Camcording Attack Evaluation},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP,},
year={2018},
pages={150-158},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006617201500158},
isbn={978-989-758-290-5},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP,
TI - A Video Dataset for an Efficient Camcording Attack Evaluation
SN - 978-989-758-290-5
AU - Kerbiche, A.
AU - Ben Jabra, S.
AU - Zagrouba, E.
AU - Charvillat, V.
PY - 2018
SP - 150
EP - 158
DO - 10.5220/0006617201500158

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