Integrated Region-Based Image Retrieval

1. Introduction.- 1. Text-based image retrieval.- 2. Content-based image retrieval.- 3. Applications of CBIR.- 4. Summary of our work.- 5. Structure of the book.- 6. Summary.- 2. Background.- 1. Introduction.- 2. Content-based image retrieval.- 3. Image semantic classification.- 4. Summary.- 3. Wavelets.- 1. Introduction.- 2. Fourier transform.- 3. Wavelet transform.- 4. Applications of wavelets.- 5. Summary.- 4. Statistical Clustering and Classification.- 1. Introduction.- 2. Artificial intelligence and machine learning.- 3. Statistical clustering.- 4. Statistical classification.- 5. Summary.- 5. Wavelet-Based Image Indexing and Searching.- 1. Introduction.- 2. Preprocessing.- 3. Multiresolution indexing.- 4. The indexing algorithm.- 5. The matching algorithm.- 6. Performance.- 7. Limitations.- 8. Summary.- 6. Semantics-Sensitive Integrated Matching.- 1. Introduction.- 2. Overview.- 3. Image segmentation.- 4. Image classification.- 5. The similarity metric.- 6. System for biomedical image databases.- 7. Clustering for large databases.- 8. Summary.- 7. Image Classification by Image Matching.- 1. Introduction.- 2. Industrial solutions.- 3. Related work in academia.- 4. System for screening objectionable images.- 5. Classifying objectionable websites.- 6. Summary.- 8. Evaluation.- 1. Introduction.- 2. Overview.- 3. Data sets.- 4. Query interfaces.- 5. Characteristics of IRM.- 6. Accuracy.- 7. Robustness.- 8. Speed.- 9. Summary.- 9. Conclusions and Future Work.- 1. Summary.- 2. Limitations.- 3. Areas of future work.- References.