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Titlebook: Multimodal Computational Attention for Scene Understanding and Robotics; Boris Schauerte Book 2016 Springer International Publishing Switz

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書目名稱Multimodal Computational Attention for Scene Understanding and Robotics
編輯Boris Schauerte
視頻videohttp://file.papertrans.cn/641/640730/640730.mp4
概述Recent research on Multimodal Computational Attention for Scene Understanding.Presents a combined auditory and visual saliency in a biologically-plausible model implemented on a humanoid robot’s head.
叢書名稱Cognitive Systems Monographs
圖書封面Titlebook: Multimodal Computational Attention for Scene Understanding and Robotics;  Boris Schauerte Book 2016 Springer International Publishing Switz
描述.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.?.
出版日期Book 2016
關(guān)鍵詞Cognitive Systems; Computer Vision Recognition; Computer Vision Software; Multimodal Computational Atte
版次1
doihttps://doi.org/10.1007/978-3-319-33796-8
isbn_softcover978-3-319-81605-0
isbn_ebook978-3-319-33796-8Series ISSN 1867-4925 Series E-ISSN 1867-4933
issn_series 1867-4925
copyrightSpringer International Publishing Switzerland 2016
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發(fā)表于 2025-3-22 00:19:19 | 只看該作者
1867-4925 ally-plausible model implemented on a humanoid robot’s head..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 sce
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Book 2016bottom-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.?.
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Multimodal Computational Attention for Scene Understanding and Robotics978-3-319-33796-8Series ISSN 1867-4925 Series E-ISSN 1867-4933
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https://doi.org/10.1007/978-3-319-33796-8Cognitive Systems; Computer Vision Recognition; Computer Vision Software; Multimodal Computational Atte
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Multimodal Computational Attention for Scene Understanding and Robotics
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