| Description |
1 online resource |
| Contents |
Part 1. Basic concepts and theory. 1. Introduction to visual attention ; 2. Background of visual attention-theory and experiments -- Part 2. Computational attention models. 3. Computational models in the spatial domain ; 4. Fast bottom-up computational models in the spectral domain ; 5. Computational models for top-down visual attention ; 6. Validation and evaluation for visual attentional models -- Part 3. Applications of attention selection models. 7. Applications in computer vision, image retrieval and robotics ; 8. Application of attention models in image processing -- Part 4. Summary. 9. Summary, further discussions and conclusions |
| Summary |
Visual attention is a relatively new area of study combining a number of disciplines: artificial neural networks, artificial intelligence, vision science and psychology. The aim is to build computational models similar to human vision in order to solve tough problems for many potential applications. This book provides an up-to-date and highly applied introduction to this topic, aiding researchers in creating powerful computer vision systems and practicing engineers looking for techniques involving the application of image coding, video processing, machine vision and brain-like robots to real-world systems. Other students and researchers with interdisciplinary interests will also find this book appealing |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record and CIP data provided by publisher |
| Subject |
Computer vision.
|
|
Selectivity (Psychology) -- Computer simulation
|
|
COMPUTERS -- Computer Vision & Pattern Recognition.
|
|
Computer vision
|
| Form |
Electronic book
|
| Author |
Lin, Weisi
|
| LC no. |
2013001927 |
| ISBN |
9781118060056 |
|
1118060059 |
|
9780470828137 |
|
0470828137 |
|
9781118082980 |
|
1118082982 |
|
9780470828144 |
|
0470828145 |
|
9781299315952 |
|
129931595X |
|
