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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.
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.
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