From Human Attention to Computational Attention

1. Why Do Computers Need Attention?
Matei Mancas, Vincent P. Ferrera, Nicolas Riche

Part I. Foundations

2. What Is Attention?
Matei Mancas

3. How to Measure Attention?
Matei Mancas, Vincent P. Ferrera

4. Where: Human Attention Networks and Their Dysfunctions After Brain Damage
Tal Seidel Malkinson, Paolo Bartolomeo

Part II. Modeling

5. Attention and Signal Detection: A Practical Guide
Vincent P. Ferrera

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

7. Modeling Attention in Engineering
Matei Mancas

8. Bottom-Up Visual Attention for Still Images: A Global View
Fred Stentiford

9. Bottom-Up Saliency Models for Still Images: A Practical Review
Nicolas Riche, Matei Mancas

10. Bottom-Up Saliency Models for Videos: A Practical Review
Nicolas Riche, Matei Mancas

11. Databases for Saliency Model Evaluation
Nicolas Riche

12. Metrics for Saliency Model Validation
Nicolas Riche

13. Study of Parameters Affecting Visual Saliency Assessment
Nicolas Riche

14. Saliency Model Evaluation
Nicolas Riche

Part III. Evolution and Applications

15. Object-Based Attention: Cognitive and Computational Perspectives
Anna Belardinelli

16. Multimodal Saliency Models for Videos
Antoine Coutrot, Nathalie Guyader

17. Toward 3D Visual Saliency Modeling
Leroy Julien, Nicolas Riche

18. Applications of Saliency Models
Matei Mancas, Olivier Le Meur

19. Attentive Content-Based Image Retrieval
Dounia Awad, Vincent Courboulay, Arnaud Revel

20. Saliency and Attention for Video Quality Assessment
Dubravko Culibrk

21. Attentive Robots
Simone Frintrop

Part IV. Conclusion

22. The Future of Attention Models: Information Seeking and Self-awareness
Matei Mancas, Vincent P. Ferrera, Nicolas Riche

Keywords: Biomedicine, Neurosciences, Image Processing and Computer Vision, Signal, Image and Speech Processing, Artificial Intelligence (incl. Robotics), Human Physiology