From Human Attention To Computational Attention: A Multidisciplinary Approach (springer Series In Cognitive And Neural Systems)
by John G. Taylor /
2016 / English / PDF
15.2 MB Download
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.
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
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 valuein this book, from students to researchers and those in
industry.
in this book, from students to researchers and those in
industry.
