Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing: 606 (The Springer International Series in Engineering and Computer Science, 606) - Tapa dura

Libro 234 de 260: The Springer International Series in Engineering and Computer Science

Kuo, C.C. Jay; Tong Zhang

 
9780792372875: Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing: 606 (The Springer International Series in Engineering and Computer Science, 606)

Sinopsis

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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Reseña del editor

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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Otras ediciones populares con el mismo título

9781441948786: Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing: 606 (The Springer International Series in Engineering and Computer Science)

Edición Destacada

ISBN 10:  1441948783 ISBN 13:  9781441948786
Editorial: Springer, 2010
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