9781849968683-1849968683-Principles of Visual Information Retrieval (Advances in Computer Vision and Pattern Recognition)

Principles of Visual Information Retrieval (Advances in Computer Vision and Pattern Recognition)

ISBN-13: 9781849968683
ISBN-10: 1849968683
Edition: Softcover reprint of hardcover 1st ed. 2001
Author: Michael S. Lew
Publication date: 2010
Publisher: Springer
Format: Paperback 375 pages
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Book details

ISBN-13: 9781849968683
ISBN-10: 1849968683
Edition: Softcover reprint of hardcover 1st ed. 2001
Author: Michael S. Lew
Publication date: 2010
Publisher: Springer
Format: Paperback 375 pages

Summary

Principles of Visual Information Retrieval (Advances in Computer Vision and Pattern Recognition) (ISBN-13: 9781849968683 and ISBN-10: 1849968683), written by authors Michael S. Lew, was published by Springer in 2010. With an overall rating of 3.5 stars, it's a notable title among other AI & Machine Learning (Databases & Big Data, Graphics & Design, Graphics & Multimedia, Programming, Software Design, Testing & Engineering, Web Design, Web Development & Design, Optics, Physics, Computer Science) books. You can easily purchase or rent Principles of Visual Information Retrieval (Advances in Computer Vision and Pattern Recognition) (Paperback) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This text introduces the basic concepts and techniques in VIR. In doing so, it develops a foundation for further research and study. Divided into two parts, the first part describes the fundamental principles. A chapter is devoted to each of the main features of VIR, such as colour, texture and shape-based search. There is coverage of search techniques for time-based image sequences or videos, and an overview of how to combine all the basic features described and integrate them into the search process. The second part looks at advanced topics such as multimedia query. This book is essential reading for researchers in VIR, and final-year undergraduate and postgraduate students on courses such as Multimedia Information Retrieval, Multimedia Databases, and others.
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