E-raamat: MPEG-7 Audio and Beyond: Audio Content Indexing and Retrieval

Kim (Samsung Advanced Institute of Technology, Korea) et al. offer strategies and algorithms for automatic extraction and description of audio including speech, music, and other signals. They explain techniques for analysis, description, and classification of digital audio waveforms--MPEG-7 techniques as well as others in comparison to them. Coverage encompasses low-level descriptors, sound classification and similarity, spoken content, music description tools, fingerprinting and audio signal quality, and example applications. The book is aimed at electronics and communications engineers and researchers and graduate students in those fields. Annotation ©2006 Book News, Inc., Portland, OR (booknews.com)

Advances in technology, such as MP3 players, the Internet and DVDs, have led to the production, storage and distribution of a wealth of audio signals, including speech, music and more general sound signals and their combinations. MPEG-7 audio tools were created to enable the navigation of this data, by providing an established framework for effective multimedia management. MPEG-7 Audio and Beyond: Audio Content Indexing and Retrieval is a unique insight into the technology, covering the following topics:

• the fundamentals of MPEG-7 audio, principally low-level descriptors and sound classification and similarity;
• spoken content description, and timbre, melody and tempo music description tools;
• existing MPEG-7 applications and those currently being developed;
• examples of audio technology beyond the scope of MPEG-7.

Essential reading for practising electronic and communications engineers designing and implementing MPEG-7 compliant systems, this book will also be a useful reference for researchers and graduate students working with multimedia database technology.