2011
Foundations of Large-Scale Multimedia Information Management and RetrievalMathematics of PerceptionAuthors:

• Edward Y. Chang
• …show all 1hide
  

ISBN: 978-3-642-20428-9 (Print) 978-3-642-20429-6  (Online)

Mathematics of Perception

Chang, Edward Y.

Jointly published with Tsinghua University Press
2011, XVIII, 291 p. 108 illus., 60 in color.



ISBN 978-3-642-20429-6

  Immediately available per PDF-download (no DRM, watermarked)

About this book

• 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
  

"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.

Table of contents Part I - Knowledge Representation and Semantic Analysis.- 1. Mathematics of Perception.- 2. Supervised Learning (based on tutorial DASFAA 2003).- 3. Query Concept Learning (based on IEEE TMM 2005).- 4. Feature Extraction.- 5. Feature Reduction (based on MM 04, ICME 05, IPAM).- 6. Similarity (based on MMJ 2002, CIKM 04, ICML 05).- Part II - Scalability Issues.- 7. Imbalanced Data Learning (based on TKDE 2005).- 8. Semantics Fusion (based on MM 04, MM05, KDD 08).- 9. Kernel Machines Speedup (based on SDM 05, KDD 06, NIPS 07).- 10. Kernel Indexing (based on TKDE 06).- 11. Put It All Together (based on SPIE 06).

Distribution rights Distribution rights in China: Tsinghua University Press.

• Authors & Editors
  

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. Edward Y. Chang received his M.S. degree in Computer Science and Ph.D degree in Electrical Engineering, both from Stanford University.