The Information Retrieval Series

Integrated Region-Based Image Retrieval

Authors: Wang, James Z.

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About this book

Content-based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically­ derived image features. The need for efficient content-based image re­ trieval has increased tremendously in many application areas such as biomedicine, the military, commerce, education, and Web image clas­ sification and searching. In the biomedical domain, content-based im­ age retrieval can be used in patient digital libraries, clinical diagnosis, searching of 2-D electrophoresis gels, and pathology slides. I started my work on content-based image retrieval in 1995 when I was with Stanford University. The project was initiated by the Stan­ ford University Libraries and later funded by a research grant from the National Science Foundation. The goal was to design and implement a computer system capable of indexing and retrieving large collections of digitized multimedia data available in the libraries based on the media contents. At the time, it seemed reasonable to me that I should discover the solution to the image retrieval problem during the project. Experi­ ence has certainly demonstrated how far we are as yet from solving this basic problem.

Table of contents (9 chapters)

Buy this book

eBook $159.00
price for USA (gross)
  • ISBN 978-1-4615-1641-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $209.00
price for USA
  • ISBN 978-0-7923-7350-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $209.00
price for USA
  • ISBN 978-1-4613-5655-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Integrated Region-Based Image Retrieval
Authors
Series Title
The Information Retrieval Series
Series Volume
11
Copyright
2001
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4615-1641-5
DOI
10.1007/978-1-4615-1641-5
Hardcover ISBN
978-0-7923-7350-6
Softcover ISBN
978-1-4613-5655-4
Series ISSN
1387-5264
Edition Number
1
Number of Pages
XIV, 178
Topics