Automatic content-based classification of MP3 objects using radial basis function network in surveillance system

In recent years, the MP3 music objects become the popular type of music file in many internet audio applications, including the surveillance system. But, less attention was received to the content-based classification of audio data. While Cloud Services were blooming, the classification of MP3 music has better more and more important. It is necessary to process much audio data when Cloud Computing. In this paper, we propose an approach to classify MP3 objects based on their energy distribution. The techniques of PCA (principal component analysis) and RBF (radial basis function) network is used to construct the MP3 classifier. Experiment show that the good performance of an MP3 classification system can be met by the proposed method.

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