Wang, J. and Li, J. and Wiederhold, G. and Firschein, O. (1998) System for Screening Objectionable Images. Technical Report. Elsevier Science. (Publication Note: Computer Communications Journal, 21(15):1355-1360, Elsevier Science, 1998)
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Abstract
As computers and Internet become more and more available to families, access of objectionable graphics by children is increasingly a problem that many parents are concerned about. This paper describes WIPE T M (Wavelet Image Pornography a system capable of classifying an image as objectionable or benign. The algorithm uses a combination of an icon filter, a graph-photo detector, a color histogram filter, a texture filter, and a wavelet-based shape matching algorithm to provide robust screening of on-line objectionable images. Semantically-meaningful feature vector matching is carried out so that comparisons between a given on-line image and images in a pre-marked training data set can be performed effciently and effectively. The system is practical for real-world applications, processing queries at the speed of less than 2 seconds each, including the time to compute the feature vector for the query, on a Pentium Pro PC. Besides its exceptional speed, it has demonstrated 96 sensitivity over a test set of 1,076 digital photographs found on objectionable news groups. It wrongly classified 9 of a set of 10,809 benign photographs obtained from various sources. The specificity in real-world applications is expected to be much higher because benign on-line graphs can be filtered out with our graph-photo detector with 100 sensitivity and nearly 100 specificity, and surrounding text can be used to assist the classification process. Key words: Internet, Pornography, Content-based Image Retrieval, Human Recognition
Item Type: | Techreport (Technical Report) | |
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Uncontrolled Keywords: | content based image retrieval, objectionable detection | |
Subjects: | Computer Science > Image Processing | |
Projects: | Image Database | |
Related URLs: | Project Homepage | http://infolab.stanford.edu/IMAGE/ |
ID Code: | 356 | |
Deposited By: | Import Account | |
Deposited On: | 25 Feb 2000 16:00 | |
Last Modified: | 29 Dec 2008 12:06 |
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