Principles of Visual Information Retrieval

✍ Scribed by Michael S. Lew, Thomas S. Huang (auth.), Michael S. Lew PhD (eds.)

• Publisher: Springer-Verlag London
• Year: 2001
• Tongue: English
• Leaves: 365
• Series: Advances in Pattern Recognition
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xix
Front Matter....Pages 1-1
Visual Information Retrieval: Paradigms, Applications, and Research Issues....Pages 3-10
Color-Based Retrieval....Pages 11-49
Texture Features for Content-Based Retrieval....Pages 51-85
State of the Art in Shape Matching....Pages 87-119
Feature Similarity....Pages 121-143
Feature Selection and Visual Learning....Pages 145-162
Video Indexing and Understanding....Pages 163-196
Front Matter....Pages 197-197
Query Languages for Multimedia Search....Pages 199-217
Relevance Feedback Techniques in Image Retrieval....Pages 219-258
Mix and Match Features in the ImageRover Search Engine....Pages 259-277
Integrating Analysis of Context and Image Content....Pages 279-296
Semantic-Based Retrieval of Visual Data....Pages 297-318
Trademark Image Retrieval....Pages 319-350
Back Matter....Pages 351-356

✦ Subjects

Pattern Recognition; Artificial Intelligence (incl. Robotics); Information Storage and Retrieval; Multimedia Information Systems