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Multimodal Computational Attention for Scene Understanding and Robotics

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...

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Detaylı Bibliyografya
Yazar: Schauerte, Boris (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2016.
Imprint: Springer,
Edisyon:1st ed. 2016.
Seri Bilgileri:Cognitive Systems Monographs, 30
Konular:
Online Erişim:Full-text access
Diğer Bilgiler
Özet: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. .
Fiziksel Özellikler:XXIV, 203 p. 55 illus., 51 illus. in color. online resource.
ISBN:9783319337968
ISSN:1867-4933 ;
DOI:10.1007/978-3-319-33796-8