Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing

Zhang, Tong; Kuo, C.-C. Jay

ISBN 10: 0792372875 / ISBN 13: 9780792372875

Published by Kluwer Academic Publishers, 2001

About this Item

Provides an overview of audio and video content analysis. This book includes treatment of audiovisual data segmentation, indexing and retrieval based on multimodal media content analysis, and content-based management of audio data. It has types of sounds that contain more than one kind of audio component such as speech or environmental sound. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 136 pages, biography. BIC Classification: UG. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 11. Weight in Grams: 910. . 2001. Hardback. . . . . Books ship from the US and Ireland.

Seller Inventory # V9780792372875

Bibliographic Details

• Title: Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing
• Publisher: Kluwer Academic Publishers
• Publication Date: 2001
• Language: English
• ISBN 10: 0792372875
• ISBN 13: 9780792372875
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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.