This content-based automatic objectionable image detection engine was developed by J. Z. Wang in 1997. It was the earlist automated learning-based system for pornographic image filter with high accuracy both for classifying porn images and for classifying benign images. The research work was conducted at Stanford University with G. Wiederhold. The program does not consider any information other than the pixels of the image itself. The current training database is relatively small. Configurations of the algorithm may be changed without notice. The server has been under attack and it can be down some times. But you can read the publications if it is not working properly.
Publications:
-
James Z. Wang, Jia Li, Gio Wiederhold and Oscar Firschein,
``System for Screening Objectionable Images,''
Computer Communications,
vol. 21, no. 15, pp. 1355-1360, Elsevier, 1998.
(download)
(citations)
-
James Z. Wang, Jia Li, Gio Wiederhold and Oscar Firschein,
``Classifying Objectionable Websites Based on Image Content,''
Lecture Notes in Computer Science,
Special issue on interactive distributed multimedia systems and telecommunication services, Oslo, Norway, Thomas Plagemann and Vera Goebel (eds.), vol. 1483, pp. 113-124, Springer-Verlag, September 1998.
(download)
(citations)
-
James Z. Wang, Gio Wiederhold and Oscar Firschein,
``System for Screening Objectionable Images Using Daubechies' Wavelets and Color Histograms,''
Lecture Notes in Computer Science,
Special issue on interactive distributed multimedia systems and telecommunication services, Darmstadt, Germany, Ralf Steinmetz and Lars C. Wolf (eds.), vol. 1309, pp. 20-30, Springer-Verlag, September 1997.
(download)
(citations)
Powered By
More info on the research
This page is provided for research purposes. Please avoid it if you are offended by the topics discussed here.
1996-1999 J. Z. Wang.