Boris Schauerte

Multimodal Computational Attention for Scene Understanding and Robotics

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Cognitive Systems Monographs 30
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-33794-4
• 1st ed. 2016
• Seitenzahl: 228
• Erscheinungstermin: 20. Mai 2016
• Englisch
• Abmessung: 241mm x 160mm x 18mm
• Gewicht: 456g
• ISBN-13: 9783319337944
• ISBN-10: 3319337947
• Artikelnr.: 44769578

Inhaltsangabe

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

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