Content-Based Image and Video Retrieval

1. Introduction.- 2. Fundamentals of Content-Based Image and Video Retrieval.- 1. Basic Concepts.- 2. A Typical CBIVR System Architecture.- 3. The User’s Perspective.- 4. Summary.- 3. Designing a Content-Based Image Retrieval System.- 1. Feature Extraction and Representation.- 2. Similarity Measurements.- 3. Dimension Reduction and High-dimensional Indexing.- 4. Clustering.- 5. The Semantic Gap.- 6. Learning.- 7. Relevance Feedback (RF).- 8. Benchmarking CBVIR Solutions.- 9. Design Questions.- 10. Summary.- 4. Designing a Content-Based Video Retrieval System.- 1. The Problem.- 2. The Solution.- 3. Video Parsing.- 4. Video Abstraction and Summarization.- 5. Video Content Representation, Indexing, and Retrieval.- 6. Video Browsing Schemes.- 7. Examples of Video Retrieval Systems.- 8. Summary.- 5. A Survey of Content-Based Image Retrieval Systems.- 1. Introduction.- 2. Criteria.- 3. Systems.- 4. Summary and Conclusions.- 6. Case Study: Muse.- 1. Overview of the System.- 2. The User’s Perspective.- 3. The RF Mode.- 4. The RFC Mode.- 5. Experiments and Results.- 6. Summary.- 7. Future Work.- References.