Multimodal Computational Attention for Scene Understanding and Robotics

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.

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 Describes a series of behavioral experiments, which show that the presented model exhibits the desired behaviors Includes supplementary material: sn.pub/extras

Contenu
Introduction.- Background.- Bottom-up Audio-Visual Attention for Scene Exploration.- Multimodal Attention with Top-Down Guidance.- Conclusion.- Applications.- Dataset Overview.