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Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 606)
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Table of contents (8 chapters)
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Front Matter
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Introduction
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Front Matter
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Video Content Modeling
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Front Matter
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Audio Content Analysis
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Front Matter
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Image Sequence Analysis
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Front Matter
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Experimental Results
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Front Matter
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Conclusion
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Front Matter
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Back Matter
About this book
Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing will be especially useful to researchers and graduate level students designing and developing fully functional audiovisual systems for audio/video content parsing of multimedia streams.
Authors and Affiliations
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Integrated Media Systems Center, University of Southern California, Los Angeles, USA
Tong Zhang
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Department of Electrical Engineering — Systems, University of Southern California, Los Angeles, USA
C.-C. Jay Kuo
Bibliographic Information
Book Title: Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing
Authors: Tong Zhang, C.-C. Jay Kuo
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4757-3339-6
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 2001
Hardcover ISBN: 978-0-7923-7287-5Published: 31 January 2001
Softcover ISBN: 978-1-4419-4878-6Published: 08 December 2010
eBook ISBN: 978-1-4757-3339-6Published: 09 March 2013
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XX, 136
Topics: Multimedia Information Systems, Information Storage and Retrieval, Signal, Image and Speech Processing, Data Structures and Information Theory