Multimodal Computational Attention for Scene Understanding and Robotics

  • Boris Schauerte

Part of the Cognitive Systems Monographs book series (COSMOS, volume 30)

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Boris Schauerte
    Pages 1-7
  3. Boris Schauerte
    Pages 9-33
  4. Boris Schauerte
    Pages 115-175
  5. Boris Schauerte
    Pages 177-180
  6. Back Matter
    Pages 181-203

About this book

Introduction

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. 

Keywords

Cognitive Systems Computer Vision Recognition Computer Vision Software Multimodal Computational Attention Scene Recognition Software Scene Understanding Visual Saliency Models Visual and Auditory Attention

Authors and affiliations

  • Boris Schauerte
    • 1
  1. 1.KarlsruheGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-33796-8
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-33794-4
  • Online ISBN 978-3-319-33796-8
  • Series Print ISSN 1867-4925
  • Series Online ISSN 1867-4933
  • About this book