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

Kim, Hyoung-Gook, Moreau, Nicolas, Sikora, Thomas

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

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.

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Title of ebook: MPEG-7 Audio and Beyond: Audio Content Indexing and Retrieval
ISBN: 9780470093351
Publisher: John Wiley & Sons, Inc.
Internet download file size: 3986 kb
Pages: 304
Released online for download: 02-03-2006
Author of eBook: Kim, Hyoung-Gook
Author of eBook: Moreau, Nicolas
Author of eBook: Sikora, Thomas

MPEG-7 Audio and Beyond

Audio Content Indexing and Retrieval

Chapter One

Introduction

Today, digital audio applications are part of our everyday lives. Popular examples include audio CDs, MP3 audio players, radio broadcasts, TV or video DVDs, video games, digital cameras with sound track, digital camcorders, telephones, telephone answering machines and telephone enquiries using speech or word recognition.

Various new and advanced audiovisual applications and services become possible based on audio content analysis and description. Search engines or specific filters can use the extracted description to help users navigate or browse through large collections of data. Digital analysis may discriminate whether an audio file contains speech, music or other audio entities, how many speakers are contained in a speech segment, what gender they are and even which per ... read full excerpt from MPEG-7 Audio and Beyond: Audio Content Indexing and Retrieval ebook