Overview
- Offers a system view of modelling and computing visual patterns in image sequences
- Provides a complete guide to accomplishing intelligent visual information processing system
- Rich in examples and illustrations displaying implementation details
- Contains deep surveys of recent developments within the topic
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Table of contents (12 chapters)
Keywords
About this book
Reviews
From the reviews:
“The level for which the text was aimed was quite introductory, giving a well executed explanation of not just the technique, but also the supporting techniques. This would serve the book well as a tool to someone learning the technique from new … . Overall I enjoyed the book … . I found that the subjects were well discussed and at a level that suited my knowledge. I would recommend it as a general purpose book for image and video analysis … .” (Gavin Powell, International Association for Pattern Recognition, Vol. 32 (3), July, 2010)Authors and Affiliations
Bibliographic Information
Book Title: Statistical Learning and Pattern Analysis for Image and Video Processing
Authors: Nanning Zheng, Jianru Xue
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-1-84882-312-9
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2009
Hardcover ISBN: 978-1-84882-311-2Published: 16 April 2010
Softcover ISBN: 978-1-4471-2673-7Published: 14 March 2012
eBook ISBN: 978-1-84882-312-9Published: 25 July 2009
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XVI, 365
Topics: Pattern Recognition, Image Processing and Computer Vision, Computer Imaging, Vision, Pattern Recognition and Graphics, Multimedia Information Systems