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<\/div>\nThis both accessible and\u00a0exhaustive\u00a0book 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\u00a0is truly multi-disciplinary, collating work from psychology, neuroscience, engineering and computer science, amongst other disciplines.<\/p>\n
What is attention? We all pay attention every single moment of our lives.\u00a0Attention 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.\u00a0Those working in the field as engineers will benefit from this book\u2019s 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<\/p>\n
in this book, from students to researchers and those in industry.<\/p><\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"
Dear all, I hope you all had great holidays and are ready to get into a new year of work \ud83d\ude42 Our book\u00a0\u00ab\u00a0From Human Attention to Computational Attention – A Multidisciplinary Approach\u00a0\u00bb was published at\u00a0Springer Series in Cognitive and Neural Systems. You can find it here:\u00a0http:\/\/www.springer.com\/la\/book\/9781493934331 About this book This both accessible and\u00a0exhaustive\u00a0book will help … Continuer la lecture de \u00ab\u00a0From Human Attention to Computational Attention – A Multidisciplinary Approach\u00a0\u00bb<\/span>