Machine Learning and Statistical Modeling Approaches to Image Retrieval

✍ Scribed by Yixin Chen, Jia Li, James Z. Wang

Publisher: Springer
Year: 2004
Tongue: English
Leaves: 201
Series: The Information Retrieval Series
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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