Springer
Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception
Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception
"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, Machine Learning, 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.
| Author: Edward Y. Chang |
| Publisher: Springer |
| Publication Date: Aug 01, 2011 |
| Number of Pages: 291 pages |
| Binding: Hardback or Cased Book |
| ISBN-10: 3642204287 |
| ISBN-13: 9783642204289 |