Editors:
- Will stimulate research and create interdisciplinary collaboration links which allow the exploration of new frontiers in ambient and device intelligence
- Covers the technologies used to improve the intelligence capability of multimedia devices for imaging, image processing and computer vision
- Includes supplementary material: sn.pub/extras
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Table of contents (8 chapters)
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Front Matter
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Low Level Approach for Image and Video Understanding
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Front Matter
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Multimedia Knowledge-Based Approaches and Applications
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Front Matter
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Back Matter
About this book
Ambient Intelligence is a vision of the future where the world will be surrounded by electronic environments sensitive and responsive to people, wherein devices work in concert to support people in carrying out their everyday life activities, in an easy and natural way.
This edited volume is based on the workshop Multimedia Techniques for Ambient Intelligence (MTDAI08), held in Mogliano Veneto, Italy in March 2008. Contributed by world renowned leaders in the field from academia and industry, this volume is dedicated to research on technologies used to improve the intelligence capability of multimedia devices for imaging, image processing and computer vision. Focuses on recent developments in digital signal processing, including evolutions in audiovisual signal processing, analysis, coding and authentication, and retrieval techniques.
Designed for researchers and professionals, this book is also suitable for advanced-level students in computer science and electrical engineering.
Bibliographic Information
Book Title: Multimedia Techniques for Device and Ambient Intelligence
Editors: Jechang Jeong, Ernesto Damiani
DOI: https://doi.org/10.1007/978-0-387-88777-7
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2009
Hardcover ISBN: 978-0-387-88776-0Published: 15 June 2009
Softcover ISBN: 978-1-4419-4701-7Published: 05 November 2010
eBook ISBN: 978-0-387-88777-7Published: 28 May 2009
Edition Number: 1
Number of Pages: XIV, 201
Number of Illustrations: 89 b/w illustrations, 30 illustrations in colour
Topics: User Interfaces and Human Computer Interaction, Popular Computer Science, Computer Imaging, Vision, Pattern Recognition and Graphics, Signal, Image and Speech Processing, Multimedia Information Systems, Artificial Intelligence