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Selective visual attention computatuonal models and applications

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 applica...

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Bibliographic Details
Main Author: Zhang, Liming
Other Authors: Lin, Weisi
Format: Book
Language:English
Published: Singapore John Wiley 2013
Subjects:
Computer vision.
Selectivity (Psychology) > Computer simulation.
Image processing.
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Table of 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

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