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Multimodal Computational Attention for Scene Understanding and Robotics

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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.

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Detail Information

Series Title

Cognitive Systems Monographs

Call Number

-

Publisher

: ., 2016

Collation

XXIV, 203

Language

English

ISBN/ISSN

978-3-319-33794-4

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Computational Intelligence
, Artificial Intelligence
, Computer Vision
, Control
, Robotics
, Automation
, Automated Pattern Recognition

Specific Detail Info

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Statement of Responsibility

Boris Schauerte

Other Information

Cataloger

Hamdani

Source

-

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