Contents
Part I: Basic Concepts and Theory
Chapter 1: Introduction to Visual Attention
1.1 The Concept of Visual Attention
1.2 Types of Selective Visual Attention
1.3 Change Blindness and Inhibition of Return
1.4 Visual Attention Model Development
Chapter 2: Background of Visual Attention – Theory and Experiments
2.2 Feature Integration Theory (FIT) of Visual Attention
2.4 Binding Theory Based on Oscillatory Synchrony
2.5 Competition, Normalization and Whitening
2.6 Statistical Signal Processing
Part II: Computational Attention Models
Chapter 3: Computational Models in the Spatial Domain
3.1 Baseline Saliency Model for Images
3.3 Variations and More Details of BS Model
3.4 Graph-based Visual Saliency
3.5 Attention Modelling Based on Information Maximizing
3.6 Discriminant Saliency Based on Centre–Surround
3.7 Saliency Using More Comprehensive Statistics
3.8 Saliency Based on Bayesian Surprise
Chapter 4: Fast Bottom-up Computational Models in the Spectral Domain
4.1 Frequency Spectrum of Images
4.2 Spectral Residual Approach
4.3 Phase Fourier Transform Approach
4.4 Phase Spectrum of the Quaternion Fourier Transform Approach
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