Badness information audit based on image character filtering

Authors:
Fei Yu;Hunag Huang;Cheng Xu;Xiao-peng Dai;Miao-liang Zhu
Affiliations:
Institute of Computer & Information Engineering, Hunan Agricultural University, Changsha, Hunan, China;Institute of Computer & Information Engineering, Hunan Agricultural University, Changsha, Hunan, China;College of Computer & Communication, Hunan University, Changsha, Hunan, China;Institute of Computer & Information Engineering, Hunan Agricultural University, Changsha, Hunan, China;Institute of Artificial Intelligence, Zhejiang University, Hangzhou, Zhejiang, China
Venue:
ISPA'05 Proceedings of the 2005 international conference on Parallel and Distributed Processing and Applications
Year:
2005

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Abstract

Along with high development of multimedia information technique, the provider of badness information embeds some badness information to image or directly saves as a image file, avoiding the filter of image, which brings extreme effect of security hidden trouble in society. An information audit system based on image content filtering is provided in this paper. At first, we discuss some basic method filtering physical badness image content, analyze some key technology of filtering image content, and mark as texture character by four eigenvectors: contrast, energy, entropy and correlation. Afterwards, we utilize dynamic programming method to segment image objects, and utilize similarity measurement to denote similarity degree of two character measures. At last, we give an example of identify yellow content, which distill the texture character of image and match it with defined character database. Our system can supervise and control badness information of physical badness image content, and realize automation audit of multimedia information.