@inproceedings{cd310a997305468584b21c118070f4e6,
title = "Audio feature extraction and analysis for scene classification",
abstract = "Analysis and classification of the scene content of a video sequence are very important for content-based indexing and retrieval of multimedia databases. In this paper, we report our research on using the associated audio information for video scene classification. We describe several audio features that have been fouind effective in distinguishing audio characteristics of different scene classes. Based on these features, a neural net classifier was quite successful in separating audio clips froim different TV programs.",
author = "Zhu Liu and Jincheng Huang and Yao Wang and Tsuhan Chen",
note = "Funding Information: This work is supported in part by the N,ational Science Foundation and by the New York State Center for Advanced 'Technology in Telecommunications at Polytechnic University, Brooklyn, New York. Publisher Copyright: {\textcopyright} 1997 IEEE.; 1st IEEE Workshop on Multimedia Signal Processing, MMSP 1997 ; Conference date: 23-06-1997 Through 25-06-1997",
year = "1997",
doi = "10.1109/MMSP.1997.602659",
language = "English (US)",
series = "1997 IEEE 1st Workshop on Multimedia Signal Processing, MMSP 1997",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "343--349",
editor = "Yao Wang and Reibman, {Amy R.} and Juang, {B. H.} and Tsuhan Chen and Sun-Yuan Kung",
booktitle = "1997 IEEE 1st Workshop on Multimedia Signal Processing, MMSP 1997",
}