Table of Contents

Cover image

Title page

Copyright

Preface

List of Figures

List of Tables

List of Algorithms

Chapter 1: Introduction

Abstract

1.1 Background and Significance

1.2 Literature Review of the Visual Dictionary

1.3 Contents of this Book

Chapter 2: Interest-Point Detection: Beyond Local Scale

Abstract

2.1 Introduction

2.2 Difference of Contextual Gaussians

2.3 Mean Shift-Based Localization

2.4 Detector Learning

2.5 Experiments

2.6 Summary

Chapter 3: Unsupervised Dictionary Optimization

Abstract

3.1 Introduction

3.2 Density-Based Metric Learning

3.3 Chain-Structure Recognition

3.4 Dictionary Transfer Learning

3.5 Experiments

3.6 Summary

Chapter 4: Supervised Dictionary Learning via Semantic Embedding

Abstract

4.1 Introduction

4.2 Semantic Labeling Propagation

4.3 Supervised Dictionary Learning

4.4 Experiments

4.5 Summary

Chapter 5: Visual Pattern Mining

Abstract

5.1 Introduction

5.2 Discriminative 3D Pattern Mining

5.3 CBoP for Low Bit Rate Mobile Visual Search

5.4 Quantitative Results

5.5 Conclusion

Conclusions

References

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