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Hierarchical Adult Image Rating System.

Authors :
Huang, De-Shuang
Li, Kang
Irwin, George William
Kim, Wonil
Lee, Han-Ku
Yoon, Kyoungro
Source :
Intelligent Computing in Signal Processing & Pattern Recognition; 2006, p894-899, 6p
Publication Year :
2006

Abstract

Though popularity and improvement of Internet with the explosive proliferation of multimedia contents bring us the era of digital information, the unexpected popularity of the Internet brings us its own dark side. Everyday young children are exposed to images that should not be delivered to them. In this paper, we propose an adult image rating system that properly classifies an image into one of multiple classes such as swimming suit, topless, all nude, sex image, and normal. The simulation results show that the proposed system successfully rates images into multiple classes with the rate of over 70%. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540372578
Database :
Supplemental Index
Journal :
Intelligent Computing in Signal Processing & Pattern Recognition
Publication Type :
Book
Accession number :
32860432
Full Text :
https://doi.org/10.1007/11816515_110