Description: 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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EAN: 9783319337944
UPC: 9783319337944
ISBN: 9783319337944
MPN: N/A
Book Title: Multimodal Computational Attention for Scene Under
Item Length: 23.4 cm
Number of Pages: 203 Pages
Language: English
Publication Name: Multimodal Computational Attention for Scene Understanding and Robotics
Publisher: Springer International Publishing Ag
Publication Year: 2016
Subject: Engineering & Technology, Computer Science
Item Height: 235 mm
Item Weight: 4675 g
Type: Textbook
Author: Boris Schauerte
Item Width: 155 mm
Format: Hardcover
