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Integrated Region-Based Image Retrieval

  • Book
  • © 2001

Overview

Authors:
  1. James Z. Wang

    1. The Pennsylvania State University, USA

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

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Introduction

    • James Z. Wang
    Pages 1-15

  3. Background

    • James Z. Wang
    Pages 17-37

  4. Wavelets

    • James Z. Wang
    Pages 39-48

  5. Statistical Clustering and Classification

    • James Z. Wang
    Pages 49-61

  6. Wavelet-Based Image Indexing and Searching

    • James Z. Wang
    Pages 63-84

  7. Semantics-Sensitive Integrated Matching

    • James Z. Wang
    Pages 85-104

  8. Image Classification by Image Matching

    • James Z. Wang
    Pages 105-122

  9. Evaluation

    • James Z. Wang
    Pages 123-157

  10. Conclusions and Future Work

    • James Z. Wang
    Pages 159-163

  11. Back Matter

    Pages 165-178
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Keywords

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.

Authors and Affiliations

  • The Pennsylvania State University, USA

    James Z. Wang

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