Description: Multimodal Computational Attention for Scene Understanding and Robotics by Boris Schauerte 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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. Back Cover 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. Table of Contents Introduction.- Background.- Bottom-up Audio-Visual Attention for Scene Exploration.- Multimodal Attention with Top-Down Guidance.- Conclusion.- Applications.- Dataset Overview. Feature 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 robots head Describes a series of behavioral experiments, which show that the presented model exhibits the desired behaviors Details ISBN3319816055 Author Boris Schauerte ISBN-10 3319816055 ISBN-13 9783319816050 Format Paperback Series Cognitive Systems Monographs Year 2018 DEWEY 006.3 Pages 203 Imprint Springer International Publishing AG Place of Publication Cham Country of Publication Switzerland Publication Date 2018-05-27 Language English Series Number 30 UK Release Date 2018-05-27 Illustrations 51 Illustrations, color; 4 Illustrations, black and white; XXIV, 203 p. 55 illus., 51 illus. in color. Publisher Springer International Publishing AG Edition Description Softcover reprint of the original 1st ed. 2016 Alternative 9783319337944 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:158889913;
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ISBN-13: 9783319816050
Book Title: Multimodal Computational Attention for Scene Understanding and Ro
Number of Pages: 203 Pages
Language: English
Publication Name: Multimodal Computational Attention for Scene Understanding and Robotics
Publisher: Springer International Publishing Ag
Publication Year: 2018
Subject: Engineering & Technology, Computer Science
Item Height: 235 mm
Item Weight: 3518 g
Type: Textbook
Author: Boris Schauerte
Item Width: 155 mm
Format: Paperback