Magnifying Glass
Search Loader

Matei Mancas & Vincent P. Ferrera 
From Human Attention to Computational Attention 
A Multidisciplinary Approach

Support
Adobe DRM
Cover of Matei Mancas & Vincent P. Ferrera: From Human Attention to Computational Attention (PDF)

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. 

€149.79
payment methods

Table of Content

Foreword

V. Cutsuridis

Introduction
1 Why modeling attention in computers?
M. Mancas, V. Ferrera, N. Riche

Part 1: Foundations
2  What is attention?
M. Mancas

3 How to measure attention?
M. Mancas, V. Ferrera

4 Where: Human attention networks and their dysfunctions after brain damage
T. Seidel Malkinson, P. Bartolomeo

Part 2: Modeling
5 Attention and Signal Detection: A Practical Guide
V. Ferrera

6 Effects of Attention in Visual Cortex: Linking Single Neuron Physiology to Visual Detection and Discrimination
V. Ferrera

7 Modeling attention in engineering
M. Mancas

8 Bottom-Up Visual Attention for Still Images: a Global View
F. Stentiford

9 Bottom-up saliency models for still images: a practical review
N. Riche and M. Mancas

10 Bottom-up saliency models for videos: a practical review
N. Riche and M. Mancas

11 Databases for sal

iency models evaluation

N. Riche



12 Metrics for saliency models validation

N. Riche



13 Study of parameters affecting visual saliency assessment

N. Riche



14 Saliency models evaluation

N. Riche




Part 3: Evolution and Applications
15 Object-based Attention: cognitive and computational perspectives

A. Belardinelli



16 Multimodal saliency models for videos

Antoine Coutrot, Nathalie Guyader



17 Towards 3D visual saliency modelling

J. Leroy, N. Riche



18 Applications of saliency models

M. Mancas, O. Le Meur



19 Attentive Content-Based Image Retrieval

D. Awad, V. Courboulay, A. Revel



20 Saliency and Attention for Video Quality Assessment

D. Culibrk



21 Attentive Robots

S. Frintrop




Conclusion:
22 Attention modeling: what are the next steps?

M. Mancas, V. Ferrera, N. RIche



Index







Language English ● Format PDF ● Pages 463 ● ISBN 9781493934355 ● File size 16.1 MB ● Editor Matei Mancas & Vincent P. Ferrera ● Publisher Springer New York ● City NY ● Country US ● Published 2016 ● Downloadable 24 months ● Currency EUR ● ID 4913293 ● Copy protection Adobe DRM
Requires a DRM capable ebook reader

More ebooks from the same author(s) / Editor

10,257 Ebooks in this category