The adult image identification based on online sampling

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationInternational Joint Conference on Neural Networks 2006, IJCNN '06
Pages2566-2571
Number of pages6
Publication statusPublished - 2006 Dec 1
EventInternational Joint Conference on Neural Networks 2006, IJCNN '06 - Vancouver, BC, Canada
Duration: 2006 Jul 162006 Jul 21

Publication series

NameIEEE International Conference on Neural Networks - Conference Proceedings
ISSN (Print)1098-7576

Other

OtherInternational Joint Conference on Neural Networks 2006, IJCNN '06
CountryCanada
CityVancouver, BC
Period06-07-1606-07-21

All Science Journal Classification (ASJC) codes

  • Software

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  • Cite this

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