Multimodal computational attention for scene understanding and robotics [electronic resource] / Boris Schauerte.
Schauerte, Boris, author.
2016
TJ211.3
Available Online

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Title Multimodal computational attention for scene understanding and robotics [electronic resource] / Boris Schauerte.
Author Schauerte, Boris, author.
ISBN 9783319337968 (electronic book)
3319337963 (electronic book)
9783319337944
Published Switzerland : Springer, 2016.
Language English
Description 1 online resource (xxiv, 203 pages) : illustrations.
Call Number TJ211.3
Dewey Decimal Classification 629.8/92637
Summary 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. .
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed May 19, 2016).
Series Cognitive systems monographs ; v. 30.
Available in Other Form Multimodal Computational Attention for Scene Understanding and Robotics.
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Introduction
Background
Bottom-up Audio-Visual Attention for Scene Exploration
Multimodal Attention with Top-Down Guidance
Conclusion
Applications
Dataset Overview.

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