Overview
- Written by the utmost expert at Google Inc Dr Edward Chang, Director of Research
- Covering knowledge representation, semantic analysis, and scalability issues in one comprehensive book
- Written for the specialist while maintaining an accessible approach for students alike
- A must-have in this ever-faster evolving area
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About this book
"Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception" covers knowledge representation and semantic analysis of multimedia data and scalability in signal extraction, data mining, and indexing. The book is divided into two parts: Part I - Knowledge Representation and Semantic Analysis focuses on the key components of mathematics of perception as it applies to data management and retrieval. These include feature selection/reduction, knowledge representation, semantic analysis, distance function formulation for measuring similarity, and multimodal fusion. Part II - Scalability Issues presents indexing and distributed methods for scaling up these components for high-dimensional data and Web-scale datasets. The book presents some real-world applications and remarks on future research and development directions.
The book is designed for researchers, graduate students, and practitioners in the fields of Computer Vision, MachineLearning, Large-scale Data Mining, Database, and Multimedia Information Retrieval.
Dr. Edward Y. Chang was a professor at the Department of Electrical & Computer Engineering, University of California at Santa Barbara, before he joined Google as a research director in 2006. Dr. Chang received his M.S. degree in Computer Science and Ph.D degree in Electrical Engineering, both from Stanford University.
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Table of contents (12 chapters)
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About the author
Bibliographic Information
Book Title: Foundations of Large-Scale Multimedia Information Management and Retrieval
Book Subtitle: Mathematics of Perception
Authors: Edward Y. Chang
DOI: https://doi.org/10.1007/978-3-642-20429-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Tsinghua University Press Beijing and Springer-Verlag Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-20428-9Published: 01 August 2011
Softcover ISBN: 978-3-642-44128-8Published: 11 November 2014
eBook ISBN: 978-3-642-20429-6Published: 27 August 2011
Edition Number: 1
Number of Pages: XVIII, 291
Additional Information: Jointly published with Tsinghua University Press
Topics: Image Processing and Computer Vision, Machinery and Machine Elements, Data Mining and Knowledge Discovery, Multimedia Information Systems