From Human Attention to Computational Attention - A Multidisciplinary Approach (Hardcover, 1st ed. 2016)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Series in Cognitive and Neural Systems, 10
Release date:	June 2016
First published:	2016
Editors:	Matei Mancas • Vincent P. Ferrera • Nicolas Riche • John G. Taylor
Dimensions:	235 x 155 x 31mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	463
Edition:	1st ed. 2016
ISBN-13:	978-1-4939-3433-1
Categories:	Books > Medicine > Pre-clinical medicine: basic sciences > Physiology > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	1-4939-3433-3
Barcode:	9781493934331

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