Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing
By: by Tong Zhang, C.-C. Jay Kuo
Contributors: Kuo, C.-C. Jay
Series: The Springer International Series in Engineering and Computer Science -- 606; International series in engineering and computer science -- 606.
Publisher: Springer US
Published: 2001
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] /
Number of pages: 136
ISBN-13: 9781441948786; 9781475733396
Subjects: Information storage and retrieval systems; Computer science; Data structures (Computer science); Multimedia systems
Description: Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing is an up-to-date overview of audio and video content analysis. Included is extensive treatment of audiovisual data segmentation, indexing and retrieval based on multimodal media content analysis, and content-based management of audio data. In addition to the commonly studied audio types such as speech and music, the authors have included hybrid types of sounds that contain more than one kind of audio component such as speech or environmental sound with music in the background. Emphasis is also placed on semantic-level identification and classification of environmental sounds. The authors introduce a new generic audio retrieval system on top of the audio archiving schemes. Both theoretical analysis and implementation issues are presented. The developing MPEG-7 standards are explored. 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.
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