Multimodal Computational Attention for Scene Understanding and Robotics

✍ Scribed by Boris Schauerte (auth.)

Publisher: Springer International Publishing
Year: 2016
Tongue: English
Leaves: 220
Series: Cognitive Systems Monographs 30
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ 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.

✦ Table of Contents

Front Matter....Pages i-xxiv
Introduction....Pages 1-7
Background....Pages 9-33
Bottom-Up Audio-Visual Attention for Scene Exploration....Pages 35-113
Multimodal Attention with Top-Down Guidance....Pages 115-175
Conclusion....Pages 177-180
Back Matter....Pages 181-203

✦ Subjects

Computational Intelligence; Robotics and Automation; Artificial Intelligence (incl. Robotics); Image Processing and Computer Vision; Pattern Recognition

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