From Human Attention to Computational Attention: A Multidisciplinary Approach (1st ed. 2016) (Springer Series in Cognitive and Neural Systems #10)

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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 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.
Copyright:
2016

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9781493934355
Related ISBNs:
9781493934331
Publisher:
Springer New York
Date of Addition:
Copyrighted By:
Springer New York, New York, NY
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Art and Architecture, Computers and Internet, Technology, Medicine
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.
Edited by:
Matei Mancas
Edited by:
Vincent P. Ferrera
Edited by:
Nicolas Riche
Edited by:
John G. Taylor

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