DocumentCode :
3407696
Title :
Audio feature extraction and analysis for scene classification
Author :
Liu, Zhu ; Huang, Jincheng ; Wang, Yao ; Chen, Tsuhan
Author_Institution :
Polytech. Univ., Brooklyn, NY, USA
fYear :
1997
fDate :
23-25 Jun 1997
Firstpage :
343
Lastpage :
348
Abstract :
Analysis and classification of the scene content of a video sequence are very important for content-based indexing and retrieval of multimedia databases. We report our research on using the associated audio information for video scene classification. We describe several audio features that have been found effective in distinguishing audio characteristics of different scene classes. Based on these features, a neural net classifier was quite successful in separating audio clips from different TV programs
Keywords :
audio signals; feature extraction; image classification; image sequences; indexing; multimedia computing; neural nets; query processing; TV programs; audio analysis; audio clips; audio feature extraction; audio information; content-based indexing; content-based retrieval; multimedia databases; neural net classifier; video scene classification; video sequence; Feature extraction; Indexing; Information retrieval; Layout; Multimedia databases; Neural networks; Signal analysis; Speech analysis; Speech synthesis; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Signal Processing, 1997., IEEE First Workshop on
Conference_Location :
Princeton, NJ
Print_ISBN :
0-7803-3780-8
Type :
conf
DOI :
10.1109/MMSP.1997.602659
Filename :
602659
Link To Document :
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