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Authors: Hajar Bouirouga 1 ; Sanaa Elfkihi 2 ; Abdeilah JIlbab 3 and Driss Aboutajdine 1

Affiliations: 1 LRIT, unité associée au CNRST, FSR and Mohammed V, Morocco ; 2 ENSIAS, Mohammed V and University Souissi, Morocco ; 3 ENSET, Madinat Al Irfane and Rabat-Instituts, Morocco

Keyword(s): Skin Detection, Activation Function, Neuron Networks, Pornographic Images Descriptors, Video Filtering, Face Detection.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Shape Representation and Matching

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 422-425. DOI: 10.5220/0004210904220425

@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 (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={422-425},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004210904220425},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - Neural Network Adult Videos Recognition using Jointly Face Shape and Skin Feature Extraction
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Bouirouga, H.
AU - Elfkihi, S.
AU - JIlbab, A.
AU - Aboutajdine, D.
PY - 2013
SP - 422
EP - 425
DO - 10.5220/0004210904220425
PB - SciTePress