From Human Attention to Computational Attention: A Multidisciplinary Approach

Mancas, Matei (Edited by)/ Ferrera, Vincent P. (Edited by)/ Riche, Nicolas (Edited by)/ Taylor, John G. (Edited by)

ISBN 10: 1493934333 / ISBN 13: 9781493934331

Verlag: Springer, 2016

Beschreibung

9.50x6.50x1.25 inches. In Stock. Bestandsnummer des Verkäufers x-1493934333

Bibliografische Details

Titel: From Human Attention to Computational ...

Verlag: Springer

Erscheinungsdatum: 2016

Einband: Hardcover

Zustand: Brand New

Über diesen Titel

Inhaltsangabe:

<P>THIS BOTH ACCESSIBLE AND&NBSP;EXHAUSTIVE&NBSP;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&NBSP;IS TRULY MULTI-DISCIPLINARY, COLLATING WORK FROM PSYCHOLOGY, NEUROSCIENCE, ENGINEERING AND COMPUTER SCIENCE, AMONGST OTHER DISCIPLINES.</P><P></P> <P>WHAT IS ATTENTION? WE ALL PAY ATTENTION EVERY SINGLE MOMENT OF OUR LIVES.&NBSP;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.&NBSP;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</P> IN THIS BOOK, FROM STUDENTS TO RESEARCHERS AND THOSE IN INDUSTRY.&NBSP;<P></P><P></P>

Reseña del editor:

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.