Multimodal Computational Attention for Scene Understanding and Robotics

This book presents state-of-the-art computationalattention models that have been successfully tested in diverse applicationareas and can build the foundation for artificial systems to efficientlyexplore, analyze, and understand natural scenes. It gives a comprehensive overview of the most recentcomputational attention models for processing visual and acoustic input. Itcovers the biological background of visual and auditory attention, as well as bottom-up and top-down attentionalmechanisms and discusses various applications. In the first part new approachesfor bottom-up visual and acoustic saliency models are presented and applied tothe task of audio-visual scene exploration of a robot. In the second part theinfluence of top-down cues for attention modeling is investigated. 

Sommario

Introduction.- Background.- Bottom-up Audio-Visual Attention for Scene Exploration.- Multimodal Attention with Top-Down Guidance.- Conclusion.- Applications.- Dataset Overview.

Riassunto

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. 

Dettagli sul prodotto

• Autori: Boris Schauerte
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 01.01.2016
• EAN: 9783319337944
• ISBN: 978-3-31-933794-4
• Pagine: 203
• Dimensioni: 163 mm x 241 mm x 17 mm
• Peso: 456 g
• Illustrazioni: XXIV, 203 p. 55 illus., 51 illus. in color.
• Serie: Cognitive Systems Monographs; Cognitive Systems Monographs
• Categorie: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie; B, Robotics, Artificial Intelligence, Mustererkennung, Automation, engineering, Computer Vision, Image Processing and Computer Vision, pattern recognition, Automated Pattern Recognition, Computational Intelligence, Optical data processing, Control, Robotics, Automation, Image processing, Robotics and Automation, Automatic control engineering