A Novel Approach for Region-of-Interest Detection in Pornographic Images

DOI

10.2991/icmt-13.2013.106How to use a DOI?

Keywords

Pornographic image detection • Region-of-interest (ROI) • Visual attention model • Skin-color model • Face detection model

Abstract

Region-of-interest (ROI) detection plays an important role in filtering out pornographic images. Skin-color models, as a traditional approach, extract skin-color regions as ROI. However, the approach is difficult to differentiate between human skins and other objects with the skin-color. Furthermore, skin-color regions are always larger than the subareas containing pornographic parts. In this paper, we present a novel approach for ROI detection in pornographic images by integrating visual attention and skin-color models. A novel saliency map model is firstly constructed. Then it is integrated with a skin-color model and a face detec-tion model to capture ROI. Experimental results show that our approach is more precisely than using the skin-color model alone.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Liu Yizhi
AU  - Zhou Dong
AU  - Liu Jianxun
AU  - Xie Hongtao
AU  - Yang Ying
PY  - 2013/11
DA  - 2013/11
TI  - A Novel Approach for Region-of-Interest Detection in Pornographic Images
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 854
EP  - 861
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.106
DO  - 10.2991/icmt-13.2013.106
ID  - Yizhi2013/11
ER  -