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Machine Learning and Statistical Modeling Approaches to Image Retrieval
Yixin Chen
Jia Li
James Z. Wang
出版
Springer Science & Business Media
, 2006-04-11
主題
Science / Physics / Optics & Light
Computers / Interactive & Multimedia
Computers / Artificial Intelligence / General
Business & Economics / Information Management
Mathematics / Probability & Statistics / General
Computers / Software Development & Engineering / Computer Graphics
Science / Physics / Electromagnetism
Computers / Design, Graphics & Media / Graphics Tools
Computers / Computer Architecture
Computers / Optical Data Processing
ISBN
1402080352
9781402080357
URL
http://books.google.com.hk/books?id=S-XpBwAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.