Chapter 20: Audio Indexing and Retrieval

Zhu Liu
AT&T Labs - Research
200 Laurel Avenue South

Middletown, NJ 07748

Yao Wang
Dept. of Electrical Engineering
Polytechnic University

333 Jay Street
Brooklyn, NY 11201



With the booming of Internet and the rapid growth of digital storage capability, we are exposed to virtually unlimited volume of multimedia information, including movies, video clips, image animation, still images, music, speech, text, etc. Manually searching useful or interesting pieces of information is exactly the same as finding a needle in a haystack. Automatically generating semantically meaningful index for a large volume of documents is critical for efficient and effective multimedia information retrieval. During the last decade, multimedia content index and retrieval, as a new yet fast growing field, has attracted tremendous interest from researchers worldwide. MPEG-7, formally known as Multimedia Content Description Interface, is an internationally collaborated effort that addresses such a challenge. This chapter will focus on the recent progress of audio indexing and retrieval, a major component within the broad scope. Everyday, we are immersed in ubiquitous audio. Very often, we want to search a piece of audio that either we know or heard before, for example, a specific song or a conference recording, or we are not aware of, for example, a piece of symphony or one speech of President Kennedy. With the support of audio indexing and retrieval services, such a task is an enjoyable experience, otherwise, really a headache. In this chapter, we will survey the state of the art in the area of audio content indexing and retrieval, address audio indexing algorithms and query methods, illustrate several representative audio retrieval systems, and briefly introduce MPEG-7 audio standard.

Handbook of Video Databases. Design and Applications
Handbook of Video Databases: Design and Applications (Internet and Communications)
ISBN: 084937006X
EAN: 2147483647
Year: 2003
Pages: 393 © 2008-2017.
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