From Human Attention to Computational Attention: A Multidisciplinary Approach
Springer | Neuroscience | May 18 2016 | ISBN-10: 1493934333 | 465 pages | pdf | 15.22 mb
Editors: Mancas, M., Ferrera, V.P., Riche, N., Taylor, J.G. (Eds.)
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
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.
Number of Illustrations and Tables
51 b/w illustrations, 186 illustrations in colour
Image Processing and Computer Vision
Signal, Image and Speech Processing
Artificial Intelligence (incl. Robotics)
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