A Novel Approach for Region-of-Interest Detection in Pornographic Images
Liu Yizhi, Zhou Dong, Liu Jianxun, Xie Hongtao, Yang Ying
Available Online November 2013.
- https://doi.org/10.2991/icmt-13.2013.106How to use a DOI?
- Pornographic image detection • Region-of-interest (ROI) • Visual attention model • Skin-color model • Face detection model
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 3rd International Conference on Multimedia Technology(ICMT-13) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/icmt-13.2013.106 DO - https://doi.org/10.2991/icmt-13.2013.106 ID - Yizhi2013/11 ER -