Machine Learning and Statistical Modeling Approaches to Image Retrieval [electronic resource] /

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.

Bibliographic Details

Main Authors:	Chen, Yixin. author., Li, Jia. author., Wang, James Z. author., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Boston, MA : Springer US, 2004
Subjects:	Physics., Multimedia information systems., Artificial intelligence., Image processing., Management information systems., Computer science., Statistics., Optics, Lasers, Photonics, Optical Devices., Multimedia Information Systems., Artificial Intelligence (incl. Robotics)., Management of Computing and Information Systems., Statistics, general., Image Processing and Computer Vision.,
Online Access:	http://dx.doi.org/10.1007/b116104
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