Transitions in audio signals are generally utilized for scene cut detection. However, since silence audio segments are usually inserted into the audio signals, the transitions in the audio signals include not only the scene cuts but also boundaries between silence and non-silence segments. Therefore, the scene cuts can not be detected by using only the transitions. In this paper, we propose an effective audio classification method for scene cut detection. Our proposed method works as follows: (1) it detects the transitions in the audio signals automatically; (2) it divides the audio signals into segments bounded by the transitions detected in (1); (3) it classifies the segments into the silence and non-silence audio classes. By using our method, the scene cuts can be detected accurately because the silence class contains the scene cuts. In addition, since our method can directly process MPEG Audio data without decoding procedures, detection of the scene cuts in MPEG compressed data can be applied easily.
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