Multimodal Computational Attention for Scene Understanding and Robotics (Paperback, Softcover reprint of the original 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Cognitive Systems Monographs, 30
Release date:	May 2018
First published:	2016
Authors:	Boris Schauerte
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Paperback
Pages:	203
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-81605-0
Categories:	Books > Computing & IT > Computer software packages > Multimedia Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
LSN:	3-319-81605-5
Barcode:	9783319816050

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