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.