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Tables of Contents for Intelligent Systems for Video Analysis and Access over the Internet
Chapter/Section Title
Page #
Page Count
Preface
xi
 
Introduction
1
24
Challenges of Multimedia Information Access
2
3
Video Database Indexing and Retrieval
3
1
Video Summarization and Browsing
3
1
Video Streaming and Filtering
4
1
Review of Previous Work
5
4
Information Dissemination by Multicast
9
6
Collaborative Semantic Multicast
9
3
On-Line Multimedia Content Analysis and Annotations
12
3
System Overview
15
5
Layered Video Analysis Model
15
3
On-Line Video Content Analysis Infrastructure
18
2
Roadmap of This Book
20
4
Outline of This Book
24
1
On-Line Scene Change Detection of (MBONE) Multicast Video
25
24
Introduction
25
8
RTP Protocol
27
2
MBone Tools
29
1
Vic and Intra-H.261 Algorithm
30
3
Related Work
33
2
Scene Change Detection Algorithms and Implementation
35
3
Experimental Results and Discussion
38
10
Results for Algorithms
38
7
Discussion
45
3
Summary
48
1
Video/Audio/Text Feature Representation and Analysis
49
29
Introduction
49
2
Clustering in Feature Space
50
1
Overall Software Structure
51
2
Visual Features Representation and Analysis
53
9
Color Descriptors
53
7
Edge Descriptors
60
1
Shape Descriptors
61
1
Motional Features Representation and Analysis
62
8
Camera Motion/Motion Flow Clustering Descriptor
63
1
Object Motion Descriptor
64
1
Motion Activities Descriptor
65
5
Audio Features Representation and Analysis
70
3
Time-Domain Features
70
1
Frequency-Domain Features
71
2
Text Feature Representation and Analysis
73
5
Frequency-Based Vectors
74
1
Boolean Vectors
75
1
Dimensionality Reduction Techniques
75
3
Knowledge-Based Video Hierarchical Classification
78
26
Introduction
78
1
Previous Work
79
3
Video Semantic Concept Tree
82
4
Characteristics of Video Semantic Content
82
1
Creating a Video Semantic Concept Tree
83
3
Decision Tree Learning Algorithm
86
3
Rule-Based Knowledge Base Construction
89
8
Video Classification Rules in the Knowledge Base
89
3
Video Classifier with Video/Audio Cues
92
1
Video Classifier with Text Cues
93
4
On-Line Knowledge-Based Video Classification System
97
6
Media Planner (MP)
97
4
Media Matcher (MM)
101
2
Summary
103
1
Experimental Results
104
28
CNN News Video Segmentation and Indexing
104
4
TV News Video Production Rules
104
2
On-Line CNN News Segmentation Using Scene Classifications
106
1
Table of Contents Generation for CNN News Indexing
107
1
Hierarchical Video Classification on NBC 2000 Olympic Video
108
21
Program Segmentation of NBC Sports Video
109
2
Sports Event Units Segmentation
111
1
Low-Level Feature Extraction
111
11
Rule-Based Video Event Classification for a Basketball Video
122
4
Hierarchical NBC Video Classification
126
3
Comparison with Previous Work
129
2
Summary
131
1
System Integration
132
25
Introduction
132
1
Semantic Multicast System Architecture
133
3
On-Line Video Content Analysis Implementation
136
6
On-Line Scene Change Detection and Key Frame Extraction
137
2
Low-Level Feature Analysis and Extraction
139
2
Knowledge-Based Video Classification
141
1
Content Agent Coordination
142
9
Communication Between the Proxy and the Service Assigner
143
1
Concept of the Metadata Channel
144
7
Examples of System Usage
151
3
On-Line CNN News Filtering
151
2
Off Line Video Database Query
153
1
Summary
154
3
Conclusion and Future Work
157
6
Summary of This Research
157
1
Contributions of This Research
158
2
Future Work
160
3
References
163