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From Human Attention to Comput...
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From Human Attention to Computational Attention A Multidisciplinary Approach / edited by Matei Mancas, Vincent P. Ferrera, Nicolas Riche, John G. Taylor.
Saved in:
Bibliographic Details
Corporate Author:
SpringerLink (Online service)
Other Authors:
Mancas, Matei
(Editor)
,
Ferrera, Vincent P.
(Editor)
,
Riche, Nicolas
(Editor)
,
Taylor, John G.
(Editor)
Format:
eBook
Language:
English
Published:
New York, NY :
Springer New York : Imprint: Springer,
2016.
Edition:
1st ed. 2016.
Series:
Springer Series in Cognitive and Neural Systems,
10
Springer eBook Collection.
Subjects:
Neurosciences.
Optical data processing.
Signal processing.
Image processing.
Speech processing systems.
Artificial intelligence.
Human physiology.
Electronic resources (E-books)
Online Access:
Click to view e-book
Holy Cross Note:
Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Holdings
Description
Table of Contents
Staff View
Table of Contents:
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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