Presentation 2002/7/11
A Note on Classification of MPEG Audio Data for Scene Cut Detection
Naoki NITANDA, Miki HASEYAMA, Hideo KITAJIMA,
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Abstract(in English) 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 singals 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 detcted accurately because the 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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Keyword(in English) scene / scene cut detection / audio classification / MPEG Audio
Paper # MVE2002-23
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Conference Information
Committee MVE
Conference Date 2002/7/11(1days)
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Paper Information
Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Note on Classification of MPEG Audio Data for Scene Cut Detection
Sub Title (in English)
Keyword(1) scene
Keyword(2) scene cut detection
Keyword(3) audio classification
Keyword(4) MPEG Audio
1st Author's Name Naoki NITANDA
1st Author's Affiliation School of Engineering, Hokkaido University()
2nd Author's Name Miki HASEYAMA
2nd Author's Affiliation School of Engineering, Hokkaido University
3rd Author's Name Hideo KITAJIMA
3rd Author's Affiliation School of Engineering, Hokkaido University
Date 2002/7/11
Paper # MVE2002-23
Volume (vol) vol.102
Number (no) 219
Page pp.pp.-
#Pages 6
Date of Issue