图书介绍
时空视频检索 英文pdf电子书版本下载
- 任伟著 著
- 出版社： 哈尔滨：哈尔滨工程大学出版社
- ISBN：9787811336115
- 出版时间：2010
- 标注页数：212页
- 文件大小：14MB
- 文件页数：221页
- 主题词：数字图象处理－英文
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图书目录
Chapter Ⅰ Introduction 1
1.1 Motivation 1
1.2 Proposed Solution 5
1.3 Structure of Book 8
Chapter Ⅱ Approaches to Video Retrieval 10
2.1 Introduction 10
2.2 Video Structure and Properties 11
2.3 Query 34
2.4 Similarity Metrics 38
2.5 Performance Evaluation Metrics 41
2.6 Systems 43
Chapter Ⅲ Spatio-temporal Image and Video Analysis 47
3.1 Spatio-temporal Information for Video Retrieval 48
3.2 Spatial Information Modelling in Multimedia Retrieval 50
3.3 Temporal Model 67
3.4 Spatio-temporal Information Fusion 76
Chapter Ⅳ Video Spatio-temporal Analysis and Retrieval(VSTAR):A New Model 89
4.1 VSTAR Model Components 92
4.2 Spatial Image Analysis 94
4.3 A Model for the Temporal Analysis of Image Sequences 100
4.4 Video Representation,Indexing,and Retrieval Using VSTAR 109
4.5 Conclusions 129
Chapter Ⅴ Two Comparison Baseline Models for Video Retrieval 131
5.1 Baseline Models 131
5.2 Adjeroh et al.(1999)Sequences Matching—Video Retrieval Model 133
5.3 Kim and Park(2002a)data set matching—Video Retrieval Model 135
Chapter Ⅵ Spatio-temporal Video Retrieval—Experiments and Results 137
6.1 Purpose of Experiments 137
6.2 Data Description 138
6.3 Spatial and Temporal Feature Extraction 142
6.4 Video Retrieval Models:Procedure for Parameter Optimisation 146
6.5 Video Retrieval Models:Results on Parameter Optimisation 147
6.6 Comparison of Four Models 149
6.7 Model Robustness(Noise) 154
6.8 Computational Complexity 156
6.9 Conclusions 159
Chapter Ⅶ Conclusions 160
7.1 Reflections on the book as a whole 160
7.2 Support for book statement 161
7.3 Limitations of the spatio-temporal knowledge-based model 161
7.4 Directions for further work 162
Appendix A Compressed vs.Uncompressed Video 163
Appendix B Video Annotation 168
B.1 Semi-automatic Video Annotation System 168
B.2 Automatic Annotation by Object Tracking 169
Appendix C Object-pair Correlation Matrix 173
Appendix D Key-frames Extraction 175
D.1 Feature-based Representation and Similarity Measures 175
D.2 Threshold Selection 176
Appendix E Audio Features 177
Reference 180