Studies in Computational Intelligence

Machine Learning for Computer Vision

Editors: Cipolla, Roberto, Battiato, Sebastiano, Farinella, Giovanni Maria (Eds.)

  • Recent research on Computer Vision and Machine Learning for Image and Video Analysis
  • Edited outcome of the two International Computer Vision Summer Schools ICVSS taking place in 2009 and 2010
  • Written by leading experts in the field
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About this book

Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer Vision Summer School - ICVSS was established in 2007 to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Computer Vision. The courses are delivered by world renowned experts in the field, from both academia and industry, and cover both theoretical and practical aspects of real Computer Vision problems. The school is organized every year by University of Cambridge (Computer Vision and Robotics Group) and University of Catania (Image Processing Lab). Different topics are covered each year. A summary of the past Computer Vision Summer Schools can be found at: http://www.dmi.unict.it/icvss This edited volume contains a selection of articles covering some of the talks and tutorials held during the last editions of the school. The chapters provide an in-depth overview of challenging areas with key references to the existing literature.

Reviews

From the reviews:

“This book should … be of interest to anybody involved in computer vision or image and video analysis, as it presents many challenging scenarios to the machine learning community. … this book presents a snapshot of key research in the areas of computer vision and machine learning. On this level, the book succeeds, with many first-class papers. I recommend the book to practitioners in the field, as well as those pursuing PhD-level studies.” (David Marshall, Computing Reviews, April, 2013)

Table of contents (9 chapters)

  • Throwing Down the Visual Intelligence Gauntlet

    Tan, Cheston (et al.)

    Pages 1-15

  • Actionable Information in Vision

    Soatto, Stefano

    Pages 17-48

  • Learning Binary Hash Codes for Large-Scale Image Search

    Grauman, Kristen (et al.)

    Pages 49-87

  • Bayesian Painting by Numbers: Flexible Priors for Colour-Invariant Object Recognition

    Chua, Jeroen C. (et al.)

    Pages 89-117

  • Real-Time Human Pose Recognition in Parts from Single Depth Images

    Shotton, Jamie (et al.)

    Pages 119-135

Buy this book

eBook $119.00
price for USA (gross)
  • ISBN 978-3-642-28661-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.00
price for USA
  • ISBN 978-3-642-28660-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
price for USA
  • ISBN 978-3-642-44686-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning for Computer Vision
Editors
  • Roberto Cipolla
  • Sebastiano Battiato
  • Giovanni Maria Farinella
Series Title
Studies in Computational Intelligence
Series Volume
411
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-28661-2
DOI
10.1007/978-3-642-28661-2
Hardcover ISBN
978-3-642-28660-5
Softcover ISBN
978-3-642-44686-3
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XXII, 250
Topics