Learning-Based Local Visual Representation and Indexing

Table of contents

1. Cover image
2. Title page
3. Table of Contents
4. Copyright
5. Preface
6. List of Figures
7. List of Tables
8. List of Algorithms
9. Chapter 1: Introduction
   1. Abstract
   2. 1.1 Background and Significance
   3. 1.2 Literature Review of the Visual Dictionary
   4. 1.3 Contents of this Book
10. Chapter 2: Interest-Point Detection: Beyond Local Scale
    1. Abstract
    2. 2.1 Introduction
    3. 2.2 Difference of Contextual Gaussians
    4. 2.3 Mean Shift-Based Localization
    5. 2.4 Detector Learning
    6. 2.5 Experiments
    7. 2.6 Summary
11. Chapter 3: Unsupervised Dictionary Optimization
    1. Abstract
    2. 3.1 Introduction
    3. 3.2 Density-Based Metric Learning
    4. 3.3 Chain-Structure Recognition
    5. 3.4 Dictionary Transfer Learning
    6. 3.5 Experiments
    7. 3.6 Summary
12. Chapter 4: Supervised Dictionary Learning via Semantic Embedding
    1. Abstract
    2. 4.1 Introduction
    3. 4.2 Semantic Labeling Propagation
    4. 4.3 Supervised Dictionary Learning
    5. 4.4 Experiments
    6. 4.5 Summary
13. Chapter 5: Visual Pattern Mining
    1. Abstract
    2. 5.1 Introduction
    3. 5.2 Discriminative 3D Pattern Mining
    4. 5.3 CBoP for Low Bit Rate Mobile Visual Search
    5. 5.4 Quantitative Results
    6. 5.5 Conclusion
14. Conclusions
15. References