Multimodal Computational Attention for Scene Understanding and Robotics

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Éditeur :

Springer


Collection :

Cognitive Systems Monographs

Paru le : 2016-05-11

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Description

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. 
Pages
203 pages
Collection
Cognitive Systems Monographs
Parution
2016-05-11
Marque
Springer
EAN papier
9783319337944
EAN EPUB
9783319337968

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
5386 Ko
Prix
94,94 €