時空視頻檢索（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