Multimodal Computational Attention for Scene Understanding and Robotics: 30 (Cognitive Systems Monographs, 30) - Hardcover

Schauerte, Boris

Hardcover

ISBN 10: 3319337947 ISBN 13: 9783319337944

Publisher: Springer, 2016

Synopsis

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. 

About this title

From the Back Cover

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. 

Edition details

• Publisher: Springer
• Publication date: 2016
• Language: English
• ISBN 10: 3319337947
• ISBN 13: 9783319337944
• Binding: Hardcover
• Edition number: 1
• Number of pages: 227