An Efficient Group of Pictures Decomposition based Watermarking for Anaglyph 3D Video

Dorra Dhaou, Saoussen Ben Jabra, Ezzeddine Zagrouba

Abstract

Due to the rapid grow of 3D technology, 3D video consumption over the internet is proliferated. 3D Content protection has then become an important challenging problem for many researchers. Watermarking allows resolving this problem by embedding a signature into 3D video content. However, only a few works are proposed for 3D anaglyph content protection. In this paper, a new approach of 3D video anaglyph watermarking is proposed. In fact, the anaglyph 3D technique is considered as the best used technique for creating 3D perception for both images and videos. The proposed approach is based on GOP decomposition where original video is considered as a set of Group of pictures (GOP). Each GOP will be divided in three types of images : only one reference image and several B and R images. Then, every type of images will be marked using a different algorithm based on blue, red or depth channel. This allows to benefit from advantage of every channel. Experimental results show a high level of invisibility of the proposed approach and a robustness against several attacks such as compression, noise, filtering, frame suppression, and geometric transformations.

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Paper Citation


in Harvard Style

Dhaou D., Ben Jabra S. and Zagrouba E. (2018). An Efficient Group of Pictures Decomposition based Watermarking for Anaglyph 3D Video.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-290-5, pages 501-510. DOI: 10.5220/0006619305010510


in Bibtex Style

@conference{visapp18,
author={Dorra Dhaou and Saoussen Ben Jabra and Ezzeddine Zagrouba},
title={An Efficient Group of Pictures Decomposition based Watermarking for Anaglyph 3D Video},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2018},
pages={501-510},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006619305010510},
isbn={978-989-758-290-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - An Efficient Group of Pictures Decomposition based Watermarking for Anaglyph 3D Video
SN - 978-989-758-290-5
AU - Dhaou D.
AU - Ben Jabra S.
AU - Zagrouba E.
PY - 2018
SP - 501
EP - 510
DO - 10.5220/0006619305010510