From Human Attention to Computational Attention

Matei Mancas, PhD, is Senior Researcher, Numediart Institute for Creative Technologies, University of Mons, Mons, Belgium. Vincent P. Ferrara, PhD, is Professor, Department of Neuroscience, Zuckerman Institute, Columbia University, New York, New YorkAntoine Coutrot, PhD, is Tenured Researcher, Centre National de la Recherche Scientifique, Laboratoire d’InfoRmatique en Image et Systèmes d’information, Lyon, France.

• 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.