Attention Deficit/Hyperactivity Disorder (AD/HD) is a medical diagnosis label for a mixed group of disruptive behaviours in children, which influences their development, family relationships and social interaction. This book stresses that AD/HD is not a disease, but part of the child's make-up.
From Human Attention to Computational Attention: A Multidisciplinary Approach
โ Scribed by Matei Mancas, Vincent P. Ferrera, Nicolas Riche, John G. Taylor (eds.)
- Publisher
- Springer-Verlag New York
- Year
- 2016
- Tongue
- English
- Leaves
- 456
- Series
- Springer Series in Cognitive and Neural Systems 10
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This both accessible and exhaustive book will help to improve modeling of attention and to inspire innovations in industry. It introduces the study of attention and focuses on attention modeling, addressing such themes as saliency models, signal detection and different types of signals, as well as real-life applications. The book is truly multi-disciplinary, collating work from psychology, neuroscience, engineering and computer science, amongst other disciplines.
What is attention? We all pay attention every single moment of our lives. Attention is how the brain selects and prioritizes information. The study of attention has become incredibly complex and divided: this timely volume assists the reader by drawing together work on the computational aspects of attention from across the disciplines. Those working in the field as engineers will benefit from this bookโs introduction to the psychological and biological approaches to attention, and neuroscientists can learn about engineering work on attention. The work features practical reviews and chapters that are quick and easy to read, as well as chapters which present deeper, more complex knowledge. Everyone whose work relates to human perception, to image, audio and video processing will find something of value
in this book, from students to researchers and those in industry.โฆ Table of Contents
Front Matter....Pages i-viii
Why Do Computers Need Attention?....Pages 1-6
Front Matter....Pages 7-7
What Is Attention?....Pages 9-20
How to Measure Attention?....Pages 21-38
Where: Human Attention Networks and Their Dysfunctions After Brain Damage....Pages 39-59
Front Matter....Pages 61-61
Attention and Signal Detection: A Practical Guide....Pages 63-85
Effects of Attention in Visual Cortex: Linking Single Neuron Physiology to Visual Detection and Discrimination....Pages 87-104
Modeling Attention in Engineering....Pages 105-121
Bottom-Up Visual Attention for Still Images: A Global View....Pages 123-140
Bottom-Up Saliency Models for Still Images: A Practical Review....Pages 141-175
Bottom-Up Saliency Models for Videos: A Practical Review....Pages 177-190
Databases for Saliency Model Evaluation....Pages 191-207
Metrics for Saliency Model Validation....Pages 209-225
Study of Parameters Affecting Visual Saliency Assessment....Pages 227-243
Saliency Model Evaluation....Pages 245-267
Front Matter....Pages 269-269
Object-Based Attention: Cognitive and Computational Perspectives....Pages 271-289
Multimodal Saliency Models for Videos....Pages 291-304
Toward 3D Visual Saliency Modeling....Pages 305-330
Applications of Saliency Models....Pages 331-377
Attentive Content-Based Image Retrieval....Pages 379-398
Saliency and Attention for Video Quality Assessment....Pages 399-412
Front Matter....Pages 269-269
Attentive Robots....Pages 413-443
Front Matter....Pages 445-445
The Future of Attention Models: Information Seeking and Self-awareness....Pages 447-459
Back Matter....Pages 461-463
โฆ Subjects
Neurosciences; Image Processing and Computer Vision; Signal, Image and Speech Processing; Artificial Intelligence (incl. Robotics); Human Physiology
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