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Handbook of Video Databases: Design and Applications (Internet and Communications) - page 1
Buy on amazon.com >>
Furht B.
,
Marques O.
<< Previous book
Next page >>
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Table of Contents
Table of Contents
BackCover
Handbook of Video Databases - Design and Applications
Preface
Section I: Introduction
Chapter 1: Introduction to Video Databases
2. Basic Database Concepts
3. The Database Design Process
4. Multimedia Databases
5. Image and Video Databases
6. Objectives of this Handbook
7. Organization of the Handbook
References
Section II: Video Modeling and Representation
Chapter 2: Modeling Video using InputOutput Markov Models with Application to Multi-Modal Event Detection
2. Prior Art
3. Probabilistic Modeling of Media Features
4. A Hierarchical Fusion Model
5. Experimental Setup, Features and Results
6. Conclusion
References
Chapter 3: Statistical Models of Video Structure and Semantics
2. The Role of Video Structure
3. Models for Temporal Video Structure
4. Models of Shot Activity
5. Shot Segmentation
6. Semantic Characterization
7. TI BMoViES System
8. Applications and Experimental Results
9. Conclusion
Acknowledgment
References
Chapter 4: Flavor: A Language for Media Representation
2. Brief Overview
3. Language Overview
4. The Flavor Translator
5. Conclusion
Acknowledgments
References
Chapter 5: Integrating Domain Knowledge and Visual Evidence to Support Highlight Detection in Sports Videos
2. The Application Context
3. The Computational Approach
4. A Real Application: Detection and Recognition of Soccer Highlights
5. Analysis of the Videos and Extracted Features
6. Playfield Zone Classification
7. Camera Motion Analysis
8. Model Checking
Acknowledgments
References
Chapter 6: A Generic Event Model and Sports Video Processing for Summarization and Model-Based Search
2. Background
3. A Generic Semantic-Syntactic Event Model for Search
4. Sports Video Analysis for Summarization and Model Instantiation
5. Query Formation and Resolution Using the Model
Acknowledgment
References
Section III: Video Segmentation and Summarization
Chapter 7: Temporal Segmentation of Video Data
2. Temporal Segmentation Techniques
3. A MLP-Based Technique
4. Performance Evaluation of Temporal Segmentation Techniques
5. Conclusions
References
Chapter 8: A Temporal Multi-Resolution Approach to Video Shot Segmentation
2. Review of Techniques
3. Basic Theory
4. TMRA System
5. Simulation Results
5.1 Evaluation of Results
6. Conclusion
References
Chapter 9: Video Summaries Through Multimodal Analysis
1. Introduction
2. Image, Audio and Language Features
3. Generating Video Surrogates Automatically
4. Evaluation and User Studies
5. Visualization for Summarization
6. Conclusion
Acknowledgments
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Buy on amazon.com >>
Furht B.
,
Marques O.
<< Previous book
Next page >>