Foundations of Large-Scale Multimedia Information Management and Retrieval

Mathematics of Perception

  • Edward Y.┬áChang

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Edward Y. Chang
    Pages 13-35
  3. Edward Y. Chang
    Pages 37-72
  4. Edward Y. Chang
    Pages 73-95
  5. Edward Y. Chang
    Pages 97-119
  6. Edward Y. Chang
    Pages 121-140
  7. Edward Y. Chang
    Pages 141-169
  8. Edward Y. Chang
    Pages 191-211
  9. Back Matter
    Pages 287-291

About this book

Introduction

"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.

Keywords

High-dimensional Indexing Image Retrieval Knowledge representation Large-scale Data Mining Multimedia Information Retrieval Scalability issues Semantic analysis TUP

Authors and affiliations

  • Edward Y.┬áChang
    • 1
  1. 1.Google Inc.Mountain ViewUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-20429-6
  • Copyright Information Springer-Verlag Berlin Heidelberg and Tsinghua University Press 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-20428-9
  • Online ISBN 978-3-642-20429-6
  • About this book