Integrated region-based image retrieval
Author(s)
Bibliographic Information
Integrated region-based image retrieval
（The Kluwer international series on information retrieval, 11）
Kluwer Academic Publishers, c2001
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Includes bibliographical references and index
Description and Table of Contents
Description
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
Preface. Acknowledgments. 1. Introduction. 2. Background. 3. Wavelets. 4. Statistical Clustering and Classification. 5. Wavelet-Based Image Indexing and Searching. 6. Semantics-Sensitive Integrated Matching. 7. Image Classification by Image Matching. 8. Evaluation. 9. Conclusions and Future Work. References. Index.
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