Chapter Ⅰ Introduction

1.1 Motivation

1.2 Proposed Solution

1.3 Structure of Book

Chapter Ⅱ Approaches to Video Retrieval

2.1 Introduction

2.2 Video Structure and Properties

2.3 Query

2.4 Similarity Metrics

2.5 Performance Evaluation Metrics

2.6 Systems

Chapter Ⅲ Spatio-temporal Image and Video Analysis

3.1 Spatio-temporal Information for Video Retrieval

3.2 Spatial Information Modelling in Multimedia Retrieval

3.3 Temporal Model

3.4 Spatio-temporal Information Fusion

Chapter Ⅳ Video Spatio-temporal Analysis and Retrieval(VSTAR):A New Model

4.1 VSTAR Model Components

4.2 Spatial Image Analysis

4.3 A Model for the Temporal Analysis of Image Sequences

4.4 Video Representation,Indexing,and Retrieval Using VSTAR

4.5 Conclusions

Chapter Ⅴ Two Comparison Baseline Models for Video Retrieval

5.1 Baseline Models

5.2 Adjeroh et al.(1999)Sequences Matching—Video Retrieval Model

5.3 Kim and Park(2002a)data set matching—Video Retrieval Model

Chapter Ⅵ Spatio-temporal Video Retrieval—Experiments and Results

6.1 Purpose of Experiments

6.2 Data Description

6.3 Spatial and Temporal Feature Extraction

6.4 Video Retrieval Models:Procedure for Parameter Optimisation

6.5 Video Retrieval Models:Results on Parameter Optimisation

6.6 Comparison of Four Models

6.7 Model Robustness(Noise)

6.8 Computational Complexity

6.9 Conclusions

Chapter Ⅶ Conclusions

7.1 Reflections on the book as a whole

7.2 Support for book statement

7.3 Limitations of the spatio-temporal knowledge-based model

7.4 Directions for further work

Appendix A Compressed vs.Uncompressed Video

Appendix B Video Annotation

B.1 Semi-automatic Video Annotation System

B.2 Automatic Annotation by Object Tracking

Appendix C Object-pair Correlation Matrix

Appendix D Key-frames Extraction

D.1 Feature-based Representation and Similarity Measures

D.2 Threshold Selection

Appendix E Audio Features

Reference