Neural Network Adult Videos Recognition using Jointly Face Shape and Skin Feature Extraction

Hajar Bouirouga, Sanaa Elfkihi, Abdeilah JIlbab, Driss Aboutajdine

2013

Abstract

This paper presents a novel approach for video adult detection using face shape, skin threshold technique and neural network. The goal of employing skin-color information is to select the appropriate color model that allows verifying pixels under different lighting conditions and other variations. Then, the output videos are classified by neural network. The simulation shows that this system achieved 95.4% of the true rate.

References

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Paper Citation


in Harvard Style

Bouirouga H., Elfkihi S., JIlbab A. and Aboutajdine D. (2013). Neural Network Adult Videos Recognition using Jointly Face Shape and Skin Feature Extraction . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 422-425. DOI: 10.5220/0004210904220425


in Bibtex Style

@conference{visapp13,
author={Hajar Bouirouga and Sanaa Elfkihi and Abdeilah JIlbab and Driss Aboutajdine},
title={Neural Network Adult Videos Recognition using Jointly Face Shape and Skin Feature Extraction},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={422-425},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004210904220425},
isbn={978-989-8565-47-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - Neural Network Adult Videos Recognition using Jointly Face Shape and Skin Feature Extraction
SN - 978-989-8565-47-1
AU - Bouirouga H.
AU - Elfkihi S.
AU - JIlbab A.
AU - Aboutajdine D.
PY - 2013
SP - 422
EP - 425
DO - 10.5220/0004210904220425