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Cognitive Technologies

Machine Learning Techniques for Multimedia

Case Studies on Organization and Retrieval

Editors: Cord, Matthieu, Cunningham, Padraig (Eds.)

  • Suitable for practitioners, researchers and students engaged with machine learning in multimedia applications
  • Focus on multimedia data processing applications
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eBook $149.00
price for USA
  • ISBN 978-3-540-75171-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $189.00
price for USA
  • ISBN 978-3-540-75170-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $189.00
price for USA
  • ISBN 978-3-642-44362-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Applying machine learning techniques to multimedia content involves special considerations – the data is typically of very high dimension, and the normal distinction between supervised and unsupervised techniques does not always apply.

This book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain. Arising from the EU MUSCLE network, a program that drew together multidisciplinary teams with expertise in machine learning, pattern recognition, artificial intelligence, and image, video, text and crossmedia processing, the book first introduces the machine learning principles and techniques that are applied in multimedia data processing and analysis. The second part focuses on multimedia data processing applications, with chapters examining specific machine learning issues in domains such as image retrieval, biometrics, semantic labelling, mobile devices, and mining in text and music.

This book will be suitable for practitioners, researchers and students engaged with machine learning in multimedia applications.

Table of contents (11 chapters)

  • Introduction to Bayesian Methods and Decision Theory

    Wilson, Simon P. (et al.)

    Pages 3-19

  • Supervised Learning

    Cunningham, Pádraig (et al.)

    Pages 21-49

  • Unsupervised Learning and Clustering

    Greene, Derek (et al.)

    Pages 51-90

  • Dimension Reduction

    Cunningham, Pádraig

    Pages 91-112

  • Online Content-Based Image Retrieval Using Active Learning

    Cord, Matthieu (et al.)

    Pages 115-138

Buy this book

eBook $149.00
price for USA
  • ISBN 978-3-540-75171-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $189.00
price for USA
  • ISBN 978-3-540-75170-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $189.00
price for USA
  • ISBN 978-3-642-44362-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning Techniques for Multimedia
Book Subtitle
Case Studies on Organization and Retrieval
Editors
  • Matthieu Cord
  • Padraig Cunningham
Series Title
Cognitive Technologies
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-75171-7
DOI
10.1007/978-3-540-75171-7
Hardcover ISBN
978-3-540-75170-0
Softcover ISBN
978-3-642-44362-6
Series ISSN
1611-2482
Edition Number
1
Number of Pages
XVI, 289
Topics