The adult image identification based on online sampling

Jiann Shu Lee, Yung Ming Kuo, Pau-Choo Chung

研究成果: Conference contribution

12 引文 斯高帕斯(Scopus)

摘要

This paper presents a new adult image identification system. We propose the online skin tone sampling mechanism based on face detection. The object detection based on machine learning approach is used to locate the face region in the target image. According to the face color information, the skin chromatic distribution is extracted to detect the skin objects in the target image. The texture feature, coarseness, is also utilized to acquire the more accurate skin regions. Then, the back propagation neural network is used to integrate several low-level and reliable geometrical constraints into a classifier to inspect the skin regions further. Finally, the mug shot exclusion procedure is applied to promote the system performance. The experimental results show our method is satisfactory for adult image detection.

原文English
主出版物標題International Joint Conference on Neural Networks 2006, IJCNN '06
頁面2566-2571
頁數6
出版狀態Published - 2006 十二月 1
事件International Joint Conference on Neural Networks 2006, IJCNN '06 - Vancouver, BC, Canada
持續時間: 2006 七月 162006 七月 21

出版系列

名字IEEE International Conference on Neural Networks - Conference Proceedings
ISSN(列印)1098-7576

Other

OtherInternational Joint Conference on Neural Networks 2006, IJCNN '06
國家Canada
城市Vancouver, BC
期間06-07-1606-07-21

All Science Journal Classification (ASJC) codes

  • Software

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  • 引用此

    Lee, J. S., Kuo, Y. M., & Chung, P-C. (2006). The adult image identification based on online sampling. 於 International Joint Conference on Neural Networks 2006, IJCNN '06 (頁 2566-2571). [1716441] (IEEE International Conference on Neural Networks - Conference Proceedings).