Principles of Visual Information Retrieval

  • Michael S. Lew

Part of the Advances in Pattern Recognition book series (ACVPR)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Fundamental Principles

    1. Front Matter
      Pages 1-1
    2. Theo Gevers
      Pages 11-49
    3. Nicu Sebe, Michael S. Lew
      Pages 51-85
    4. Remco C. Veltkamp, Michiel Hagedoorn
      Pages 87-119
    5. Jean-Michel Jolion
      Pages 121-143
    6. Michael S. Lew
      Pages 145-162
    7. Michael S. Lew, Nicu Sebe, Paul C. Gardner
      Pages 163-196
  3. Advanced Topics

    1. Front Matter
      Pages 197-197
    2. Shi-Kuo Chang, Erland Jungert
      Pages 199-217
    3. Yong Rui, Thomas S. Huang
      Pages 219-258
    4. Stan Sclaroff, Marco La Cascia, Saratendu Sethi, Leonid Taycher
      Pages 259-277
    5. Vassilis Athitsos, Charles Frankel, Michael J. Swain
      Pages 279-296
    6. Clement Leung, Simon So, Audrey Tam, Dwi Sutanto, Philip Tse
      Pages 297-318
    7. John P. Eakins
      Pages 319-350
  4. Back Matter
    Pages 351-356

About this book

Introduction

Principles of Visual Information Retrieval introduces the basic concepts and techniques in VIR and develops a foundation that can be used for further research and study.
Divided into 2 parts, the first part describes the fundamental principles. A chapter is devoted to each of the main features of VIR, such as colour, texture and shape-based search. There is coverage of search techniques for time-based image sequences or videos, and an overview of how to combine all the basic features described and integrate context into the search process.
The second part looks at advanced topics such as multimedia query, specification, visual learning and semantics, and offers state-of-the-art coverage that is not available in any other book on the market.
This book will be essential reading for researchers in VIR, and for final year undergraduate and postgraduate students on courses such as Multimedia Information Retrieval, Multimedia Databases, Computer Vision and Pattern Recognition.

Keywords

Computer Vision Multimedia Pattern recognition Textur cognition content-based retrieval image retrieval learning multimedia search semantics

Editors and affiliations

  • Michael S. Lew
    • 1
  1. 1.Leiden Institute of Advanced Computer ScienceLeiden UniversityLeidenThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-3702-3
  • Copyright Information Springer-Verlag London 2001
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-84996-868-3
  • Online ISBN 978-1-4471-3702-3
  • Series Print ISSN 2191-6586
  • About this book