Intelligent Big Multimedia Databases

Multimedia databases address a growing number of commercially important applications such as media on demand, surveillance systems and medical systems. The book presents essential and relevant techniques and algorithms to develop and implement large multimedia database systems.

The traditional relational database model is based on a relational algebra that is an offshoot of first-order logic and of the algebra of sets. The simple relational model is not powerful enough to address multimedia data. Because of this, multimedia databases are categorized into many major areas. Each of these areas are now so extensive that a major understanding of the mathematical core concepts requires the study of different fields such as information retrieval, digital image processing, feature extraction, fractals, machine learning, neuronal networks and high-dimensional indexing. This book unifies the essential concepts and recent algorithms into a single comprehensive volume.

Table of Contents

Chapter 1. Introduction
Chapter 2. Multimedia Databases
Chapter 3. Transform Functions
Chapter 4. Compression
Chapter 5. Feature Extraction
Chapter 6. Low Dimensional Indexing
Chapter 7. Approximative Indexing
Chapter 8. High Dimensional Indexing
Chapter 9. Dealing with Text Databases
Chapter 10. Statistical Supervised Machine Learning
Chapter 11. Multimodal Fusion
Chapter 12. Software Architecture
Chapter 13. Multimedia Databases in Medicine