Multimedia Mining

Featured Chapters.- 1. Met: Image Mining for Typhoon Analysis.- 1.1. Introduction.- 1.2. Typhoon from an Informatics Perspective.- 1.3. Representation of the Typhoon.- 1.4. Image Mining.- 1.5. Image Mining Environment for Typhoon Analysis and Prediction.- 1.6. Conclusion.- 1.7. Acknowledgment.- 1.8. References.- 2. Discovering Patterns with and within Images.- 2.1. Introduction.- 2.2. Image Mining Techniques.- 2.3. Conclusion.- 2.4. References.- 3. A System Supporting Semantics Retrieval.- 3.1. Introduction.- 3.2. Scenery Analyzer: System Framework.- 3.3. A Hierarchical Representation for Low-Level Features.- 3.4. Extracting Semantic Features.- 3.5. Case Study of Semantic Features.- 3.6. Conclusion.- 3.7. References.- 4. Techniques for Color-Based Image Retrieval.- 4.1. Introduction.- 4.2. Color-Spaces.- 4.3. Color-based image description.- 4.4. Visual features extraction and representation.- 4.5. Distance Function.- 4.6. Similarity Search.- 4.7. Existing CBIR approaches.- 4.8. Open problems.- 4.9. Summary.- 4.10. Acknowledgment.- 4.11. References.- 5. Recovering in Video Documents.- 5.1. Introduction.- 5.2. Temporal video segmentation.- 5.3. Computation of optical flow.- 5.4. Building and selection of trajectories.- 5.5. Camera model.- 5.6. Recovery of camera motion without parallax.- 5.7. Recovery of camera motion with parallax.- 5.8. Integration.- 5.9. Conclusion.- 5.10. Acknowledgments.- 5.11. References.- 6. Mining of Video Database.- 6.1. Introduction.- 6.2. Semantics-Sensitive Video Database Model.- 6.3. Video Analysis and Feature Extraction.- 6.4. Semantics-Sensitive Video Classification.- 6.5. Hierarchical Database Indexing and Access.- 6.6. Conclusions.- 6.7. Acknowledgement.- 6.8. References.- 7. Medical Multimedia Databases.- 7.1. Introduction.- 7.2. Reviewof Medical Multimodality and Multimedia Systems.- 7.3. The Medimage System.- 7.4. The Epilepsy System.- 7.5. Conclusions.- 7.6. References.- 8. An Object Approach for Web Presentations.- 8.1.