Editors:
- 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
Part of the book series: Springer Series in Cognitive and Neural Systems (SSCNS, volume 10)
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Table of contents (22 chapters)
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Front Matter
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Modeling
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Front Matter
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Evolution and Applications
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Front Matter
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About this book
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.Editors and Affiliations
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Numediart Institute, University of Mons, Mons, Belgium
Matei Mancas
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Columbia University, New York, USA
Vincent P. Ferrera
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Numediart Institute, University of Mons, MONS, Belgium
Nicolas Riche
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King's College, LONDON, United Kingdom
John G. Taylor
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
DOI: https://doi.org/10.1007/978-1-4939-3435-5
Publisher: Springer New York, NY
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Science+Business Media New York 2016
Hardcover ISBN: 978-1-4939-3433-1Published: 30 June 2016
Softcover ISBN: 978-1-4939-8050-5Published: 30 May 2018
eBook ISBN: 978-1-4939-3435-5Published: 29 June 2016
Series ISSN: 2363-9105
Series E-ISSN: 2363-9113
Edition Number: 1
Number of Pages: VIII, 463
Number of Illustrations: 51 b/w illustrations, 186 illustrations in colour
Topics: Neurosciences, Image Processing and Computer Vision, Signal, Image and Speech Processing, Artificial Intelligence, Human Physiology