Multimodal Computational Attention for Scene Understanding and Robotics
(Sprache: Englisch)
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...
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Klappentext zu „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.
Inhaltsverzeichnis zu „Multimodal Computational Attention for Scene Understanding and Robotics “
Introduction.- Background.- Bottom-up Audio-Visual Attention for Scene Exploration.- Multimodal Attention with Top-Down Guidance.- Conclusion.- Applications.- Dataset Overview.
Bibliographische Angaben
- Autor: Boris Schauerte
- 2016, 1st ed. 2016, XXIV, 203 Seiten, 51 farbige Abbildungen, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3319337947
- ISBN-13: 9783319337944
- Erscheinungsdatum: 20.05.2016
Sprache:
Englisch
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