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Automatic Media Data Rating Based On Class Probability Output Networks
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AI
DOI：10.1109/TCE.2010.5681103.png)
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Abstract
En 中文
This paper presents a novel method of classifying media data whether they include X-rated contents or not. In our work, the classification of media data is performed using the class probability output network (CPON) which estimates the conditional class probability. Consequently, the classification of media data can be done using the degree of confidence for the class membership, not just using the discriminant value which is usually used in many classification problems. Furthermore, the accuracy of the estimated conditional class probability can be measured in the suggested CPON and this gives a good guideline for the final decision of classification. To demonstrate the effectiveness of the suggested method, the simulation for automatic media rating of the data sampled from multimedia data streams in the Internet was performed. We showed that the suggested CPON-based method provides the better performance than other classifiers using discriminant functions(1).
Keywords:
Media Data Rating
Multimedia Data
Support Vector Machine
Class Probability Output Network
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10.9
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5.1K
Citations:
6.8K