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Cognitive Systems Monographs

Multimodal Computational Attention for Scene Understanding and Robotics

Authors: Schauerte, Boris

  • Recent research on Multimodal Computational Attention for Scene Understanding
  • Presents a combined auditory and visual saliency in a biologically-plausible model implemented on a humanoid robot’s head
  • Describes a series of behavioral experiments, which show that the presented model exhibits the desired behaviors
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  • ISBN 978-3-319-33796-8
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Hardcover $129.00
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About this book

This book presents state-of-the-art computational attention models that have been successfully tested in diverse application areas and can build the foundation for artificial systems to efficiently explore, analyze, and understand natural scenes. It gives a comprehensive overview of the most recent computational attention models for processing visual and acoustic input. It covers the biological background of visual and auditory attention, as well as bottom-up and top-down attentional mechanisms and discusses various applications. In the first part new approaches for bottom-up visual and acoustic saliency models are presented and applied to the task of audio-visual scene exploration of a robot. In the second part the influence of top-down cues for attention modeling is investigated. 

Table of contents (5 chapters)

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-33796-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-33794-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Multimodal Computational Attention for Scene Understanding and Robotics
Authors
Series Title
Cognitive Systems Monographs
Series Volume
30
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-33796-8
DOI
10.1007/978-3-319-33796-8
Hardcover ISBN
978-3-319-33794-4
Series ISSN
1867-4925
Edition Number
1
Number of Pages
XXIV, 203
Number of Illustrations and Tables
4 b/w illustrations, 51 illustrations in colour
Topics