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From Human Attention to Computational Attention

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Cover of 'From Human Attention to Computational Attention'

Table of Contents

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    Book Overview
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    Chapter 1 Why Do Computers Need Attention?
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    Chapter 2 What Is Attention?
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    Chapter 3 How to Measure Attention?
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    Chapter 4 Where: Human Attention Networks and Their Dysfunctions After Brain Damage
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    Chapter 5 Attention and Signal Detection: A Practical Guide
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    Chapter 6 Effects of Attention in Visual Cortex: Linking Single Neuron Physiology to Visual Detection and Discrimination
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    Chapter 7 Modeling Attention in Engineering
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    Chapter 8 Bottom-Up Visual Attention for Still Images: A Global View
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    Chapter 9 Bottom-Up Saliency Models for Still Images: A Practical Review
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    Chapter 10 Bottom-Up Saliency Models for Videos: A Practical Review
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    Chapter 11 Databases for Saliency Model Evaluation
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    Chapter 12 Metrics for Saliency Model Validation
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    Chapter 13 Study of Parameters Affecting Visual Saliency Assessment
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    Chapter 14 Saliency Model Evaluation
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    Chapter 15 Object-Based Attention: Cognitive and Computational Perspectives
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    Chapter 16 Multimodal Saliency Models for Videos
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    Chapter 17 Toward 3D Visual Saliency Modeling
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    Chapter 18 Applications of Saliency Models
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    Chapter 19 Attentive Content-Based Image Retrieval
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    Chapter 20 Saliency and Attention for Video Quality Assessment
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    Chapter 21 Attentive Robots
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    Chapter 22 The Future of Attention Models: Information Seeking and Self-awareness
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Title
From Human Attention to Computational Attention
Published by
Springer New York, January 2016
DOI 10.1007/978-1-4939-3435-5
ISBNs
978-1-4939-3433-1, 978-1-4939-3435-5
Editors

Matei Mancas, Vincent P. Ferrera, Nicolas Riche, John G. Taylor

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The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 4%
Unknown 27 96%
Readers by discipline Count As %
Psychology 1 4%
Unknown 27 96%