From Human Attention to Computational Attention : A Multidisciplinary Approach /
| Autor Corporativo: | |
|---|---|
| Otros Autores: | , , , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2016.
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| Edición: | 1st ed. 2016. |
| Colección: | Springer Series in Cognitive and Neural Systems,
10 |
| Materias: |
Tabla de Contenidos:
- Foreword, V. Cutsuridis
- 1 Why modeling attention in computers?, M. Mancas, V. Ferrera, N. Riche
- 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
- 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 saliency 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
- 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
- 22 Attention modeling: what are the next steps?, M. Mancas, V. Ferrera, N. Riche
- Index.