A study on adult image detection via object analysis and multiresizing

Authors:
Chung-Hee Ka
Affiliations:
Expernet Technical Institute, Seoul, Korea
Venue:
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Year:
2009

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Abstract

The circulation of adult images on the Internet is a social problem that particularly affects teenagers' mental health. Accordingly, an adult image detection method that uses object analysis and multiresizing was proposed in this study to block the careless circulation of adult images. An adult-imageblocking filter was designed and applied to diverse images in adult-image-blocking tests. The effectiveness of the proposed method was verified by analyzing the adult-image-blocking rate.