| 書(shū)目名稱(chēng) | Multimodal Computational Attention for Scene Understanding and Robotics |
| 編輯 | Boris Schauerte |
| 視頻video | http://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(shū)名稱(chēng) | Cognitive Systems Monographs |
| 圖書(shū)封面 |  |
| 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 |
| doi | https://doi.org/10.1007/978-3-319-33796-8 |
| isbn_softcover | 978-3-319-81605-0 |
| isbn_ebook | 978-3-319-33796-8Series ISSN 1867-4925 Series E-ISSN 1867-4933 |
| issn_series | 1867-4925 |
| copyright | Springer International Publishing Switzerland 2016 |
|Archiver|手機(jī)版|小黑屋|
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