From Human Attention to Computational Attention
A Multidisciplinary Approach
Editors: Mancas, M., Ferrera, V.P., Riche, N., Taylor, J.G. (Eds.)
Free Preview- Enables readers to access attention modeling work across the disciplines and communities
- Balances work on theory and practical applications in order to deepen understanding of attention
- Supports communication between disciplines involved in attention modeling
- Marks out avenues for future research and applications in computational attention
- Aids faster testing and improvement of existing attention models
Buy this book
- About this book
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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 book’s 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.
- Table of contents (22 chapters)
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Why Do Computers Need Attention?
Pages 1-6
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What Is Attention?
Pages 9-20
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How to Measure Attention?
Pages 21-38
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Where: Human Attention Networks and Their Dysfunctions After Brain Damage
Pages 39-59
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Attention and Signal Detection: A Practical Guide
Pages 63-85
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Table of contents (22 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- From Human Attention to Computational Attention
- Book Subtitle
- A Multidisciplinary Approach
- Editors
-
- Matei Mancas
- Vincent P. Ferrera
- Nicolas Riche
- John G. Taylor
- Series Title
- Springer Series in Cognitive and Neural Systems
- Series Volume
- 10
- Copyright
- 2016
- Publisher
- Springer-Verlag New York
- Copyright Holder
- Springer Science+Business Media New York
- eBook ISBN
- 978-1-4939-3435-5
- DOI
- 10.1007/978-1-4939-3435-5
- Hardcover ISBN
- 978-1-4939-3433-1
- Softcover ISBN
- 978-1-4939-8050-5
- Series ISSN
- 2363-9105
- Edition Number
- 1
- Number of Pages
- VIII, 463
- Number of Illustrations
- 51 b/w illustrations, 186 illustrations in colour
- Topics
