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Machine Learning and Statistical Modeling Approaches to Image Retrieval

  • Book
  • © 2004

Overview

Part of the book series: The Information Retrieval Series (INRE, volume 14)

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Table of contents (9 chapters)

Keywords

About this book

In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment.
Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors' experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well.

Authors and Affiliations

  • The Research Institute for Children, University of New Orleans, New Orleans, USA

    Yixin Chen

  • The Pennsylvania State University, University Park, USA

    Jia Li, James Z. Wang

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