© 2001

Integrated Region-Based Image Retrieval


Part of the The Information Retrieval Series book series (INRE, volume 11)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. James Z. Wang
    Pages 1-15
  3. James Z. Wang
    Pages 17-37
  4. James Z. Wang
    Pages 39-48
  5. James Z. Wang
    Pages 49-61
  6. James Z. Wang
    Pages 63-84
  7. James Z. Wang
    Pages 85-104
  8. James Z. Wang
    Pages 105-122
  9. James Z. Wang
    Pages 123-157
  10. James Z. Wang
    Pages 159-163
  11. Back Matter
    Pages 165-178

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.


Textur classification clustering computer vision database digital libraries education evaluation image databases image processing multimedia wavelets

Authors and affiliations

  1. 1.The Pennsylvania State UniversityUSA

Bibliographic information

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