From Human Attention to Computational Attention A Multidisciplinary Approach

From Human Attention to Computational Attention A Multidisciplinary Approach / edited by Matei Mancas, Vincent P. Ferrera, Nicolas Riche, John G. Taylor.

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Korporativní autor: SpringerLink (Online service)
Další autoři: Mancas, Matei (Editor), Ferrera, Vincent P. (Editor), Riche, Nicolas (Editor), Taylor, John G. (Editor)
Médium: E-kniha
Jazyk:English
Vydáno: New York, NY : Springer New York : Imprint: Springer, 2016.
Vydání:1st ed. 2016.
Edice:Springer Series in Cognitive and Neural Systems, 10
Springer eBook Collection.
Témata:
Neurosciences.
Optical data processing.
Signal processing.
Image processing.
Speech processing systems.
Artificial intelligence.
Human physiology.
Electronic resources (E-books)
On-line přístup:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Obsah:
  • Foreword, V. Cutsuridis
  • 1 Why modeling attention in computers?, M. Mancas, V. Ferrera, N. Riche
  • 2 What is attention?, M. Mancas
  • 3 How to measure attention?, M. Mancas, V. Ferrera
  • 4 Where: Human attention networks and their dysfunctions after brain damage, T. Seidel Malkinson, P. Bartolomeo
  • 5 Attention and Signal Detection: A Practical Guide, V. Ferrera
  • 6 Effects of Attention in Visual Cortex: Linking Single Neuron Physiology to Visual Detection and Discrimination, V. Ferrera
  • 7 Modeling attention in engineering, M. Mancas
  • 8 Bottom-Up Visual Attention for Still Images: a Global View, F. Stentiford
  • 9 Bottom-up saliency models for still images: a practical review, N. Riche and M. Mancas
  • 10 Bottom-up saliency models for videos: a practical review, N. Riche and M. Mancas
  • 11 Databases for saliency models evaluation, N. Riche
  • 12 Metrics for saliency models validation, N. Riche
  • 13 Study of parameters affecting visual saliency assessment, N. Riche
  • 14 Saliency models evaluation, N. Riche
  • 15 Object-based Attention: cognitive and computational perspectives, A. Belardinelli
  • 16 Multimodal saliency models for videos, Antoine Coutrot, Nathalie Guyader
  • 17 Towards 3D visual saliency modelling, J. Leroy, N. Riche
  • 18 Applications of saliency models, M. Mancas, O. Le Meur
  • 19 Attentive Content-Based Image Retrieval, D. Awad, V. Courboulay, A. Revel
  • 20 Saliency and Attention for Video Quality Assessment, D. Culibrk
  • 21 Attentive Robots, S. Frintrop
  • 22 Attention modeling: what are the next steps?, M. Mancas, V. Ferrera, N. Riche
  • Index.

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