时空视频检索（video retrieval using spatio-temporal infarmation）

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 Usinz 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：Resuhs 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