Machine Learning
Neural Networks for Web Content Filtering
IEEE Intelligent Systems
Non-retrieval: Blocking Pornographic Images
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
WebGuard: Web Based Adult Content Detection and Filtering System
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Classifying offensive sites based on image content
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Building systems to block pornography
IM'99 Proceedings of the 1999 international conference on Challenge of Image Retrieval
Image classification for content-based indexing
IEEE Transactions on Image Processing
Face segmentation using skin-color map in videophone applications
IEEE Transactions on Circuits and Systems for Video Technology
Support vector machines for histogram-based image classification
IEEE Transactions on Neural Networks
WIA: a web inspection architecture
International Journal of Knowledge and Web Intelligence
A new approach of image inpainting in the wireless environment
International Journal of Ad Hoc and Ubiquitous Computing
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In this paper, a new web page filtering method directed at pornographic material and based on image and text content analysis is proposed. First, the features of image and text are extracted from the web page content. An analysis is performed and the results are merged. The page is then rated pornographic or non-pornographic. To facilitate real-time analysis, we also propose an acceleration method. In experimental results, text classification accuracy is 95.8% and image classification accuracy is 84%. In addition, the accuracy of web page classification after merging analysis of text and image features is 91.8%.