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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Schauerte, Boris (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Cognitive Systems Monographs, 30
Temas:
Computational intelligence.
Control engineering.
Robotics.
Automation.
Artificial intelligence.
Computer vision.
Pattern recognition systems.
Computational Intelligence.
Control, Robotics, Automation.
Artificial Intelligence.
Computer Vision.
Automated Pattern Recognition.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Background
  • Bottom-up Audio-Visual Attention for Scene Exploration
  • Multimodal Attention with Top-Down Guidance
  • Conclusion
  • Applications
  • Dataset Overview.

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