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This paper addresses the automatic classification of X-rated videos byanalyzing its obscene sounds. In this paper, obscene sounds refer to audiosignals generated from sexual moans and screams during sexual scenes. Byanalyzing various sound samples, we determined the distinguishablecharacteristics of obscene sounds and propose a repeated curve-like spectrumfeature that represents the characteristics of such sounds. We constructed6,269 audio clips to evaluate the proposed feature, and separately constructed1,200 X-rated and general videos for classification. The proposed feature hasan F1-score, precision, and recall rate of 96.6%, 98.2%, and 95.2%,respectively, for the original dataset, and 92.6%, 97.6%, and 88.0% for a noisydataset of 5dB SNR. And, in classifying videos, the feature has more than a 90%F1-score, 97% precision, and an 84% recall rate. From the measured performance,X-rated videos can be classified with only the audio features and the repeatedcurve-like spectrum feature is suitable to detect obscene sounds.

Automatic Classification of X-rated Videos using Obscene Sound Analysis based on a Repeated Curve-like Spectrum Feature