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| Preface | |
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| Introduction | |
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| Challenges of Multimedia Information Access | |
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| Video Database Indexing and Retrieval | |
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| Video Summarization and Browsing | |
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| Video Streaming and Filtering | |
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| Review of Previous Work | |
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| Information Dissemination by Multicast | |
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| Collaborative Semantic Multicast | |
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| On-Line Multimedia Content Analysis and Annotations | |
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| System Overview | |
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| Layered Video Analysis Model | |
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| On-Line Video Content Analysis Infrastructure | |
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| Roadmap of This Book | |
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| Outline of This Book | |
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| On-Line Scene Change Detection of (MBone) Multicast Video | |
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| Introduction | |
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| RTP Protocol | |
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| MBone Tools | |
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| Vic and Intra-H.261 Algorithm | |
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| Related Work | |
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| Scene Change Detection Algorithms and Implementation | |
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| Experimental Results and Discussion | |
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| Results for Algorithms | |
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| Discussion | |
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| Summary | |
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| Video/Audio/Text Feature Representation and Analysis | |
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| Introduction | |
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| Clustering in Feature Space | |
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| Overall Software Structure | |
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| Visual Features Representation and Analysis | |
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| Color Descriptors | |
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| Edge Descriptors | |
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| Shape Descriptors | |
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| Motional Features Representation and Analysis | |
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| Camera Motion/Motion Flow Clustering Descriptor | |
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| Object Motion Descriptor | |
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| Motion Activities Descriptor | |
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| Audio Features Representation and Analysis | |
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| Time-Domain Features | |
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| Frequency-Domain Features | |
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| Text Feature Representation and Analysis | |
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| Frequency-Based Vectors | |
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| Boolean Vectors | |
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| Dimensionality Reduction Techniques | |
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| Knowledge-Based Video Hierarchical Classification | |
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| Introduction | |
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| Previous Work | |
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| Video Semantic Concept Tree | |
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| Characteristics of Video Semantic Content | |
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| Creating a Video Semantic Concept Tree | |
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| Decision Tree Learning Algorithm | |
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| Rule-Based Knowledge Base Construction | |
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| Video Classification Rules in the Knowledge Base | |
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| Video Classifier with Video/Audio Cues | |
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| Video Classifier with Text Cues | |
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| On-Line Knowledge-Based Video Classification System | |
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| Media Planner (MP) | |
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| Media Matcher (MM) | |
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| Summary | |
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| Experimental Results | |
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| CNN News Video Segmentation and Indexing | |
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| TV News Video Production Rules | |
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| On-Line CNN News Segmentation Using Scene Classifications | |
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| Table of Contents Generation for CNN News Indexing | |
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| Hierarchical Video Classification on NBC 2000 Olympic Video | |
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| Program Segmentation of NBC Sports Video | |
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| Sports Event Units Segmentation | |
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| Low-Level Feature Extraction | |
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| Rule-Based Video Event Classification for a Basketball Video | |
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| Hierarchical NBC Video Classification | |
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| Comparison with Previous Work | |
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| Summary | |
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| System Integration | |
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| Introduction | |
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| Semantic Multicast System Architecture | |
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| On-Line Video Content Analysis Implementation | |
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| On-Line Scene Change Detection and Key Frame Extraction | |
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| Low-Level Feature Analysis and Extraction | |
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| Knowledge-Based Video Classification | |
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| Content Agent Coordination | |
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| Communication Between the Proxy and the Service Assigner | |
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| Concept of the Metadata Channel | |
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| Examples of System Usage | |
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| On-Line CNN News Filtering | |
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| Off-Line Video Database Query | |
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| Summary | |
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| Conclusion and Future Work | |
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| Summary of This Research | |
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| Contributions of This Research | |
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| Future Work | |
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| References | |
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| Index | |