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Multimodal Computational Attention for Scene Understanding and Robotics (Hardcover, 1st ed. 2016): Boris Schauerte Multimodal Computational Attention for Scene Understanding and Robotics (Hardcover, 1st ed. 2016)
Boris Schauerte
R3,324 Discovery Miles 33 240 Ships in 10 - 15 working days

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.

Multimodal Computational Attention for Scene Understanding and Robotics (Paperback, Softcover reprint of the original 1st ed.... Multimodal Computational Attention for Scene Understanding and Robotics (Paperback, Softcover reprint of the original 1st ed. 2016)
Boris Schauerte
R3,208 Discovery Miles 32 080 Ships in 18 - 22 working days

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.

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