TY  - BOOK
AU  - Schauerte,Boris
ED  - SpringerLink (Online service)
TI  - Multimodal Computational Attention for Scene Understanding and Robotics
T2  - Cognitive Systems Monographs,
SN  - 9783319337968
AV  - Q342 
U1  - 006.3 23
PY  - 2016///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Engineering
KW  - Artificial intelligence
KW  - Image processing
KW  - Pattern recognition
KW  - Computational intelligence
KW  - Robotics
KW  - Automation
KW  - Computational Intelligence
KW  - Robotics and Automation
KW  - Artificial Intelligence (incl. Robotics)
KW  - Image Processing and Computer Vision
KW  - Pattern Recognition
N1  - Introduction -- Background -- Bottom-up Audio-Visual Attention for Scene Exploration -- Multimodal Attention with Top-Down Guidance -- Conclusion -- Applications -- Dataset Overview
N2  - 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
UR  - http://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-33796-8
ER  -