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Wichert A. Intelligent big multimedia databases

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Wichert A. Intelligent big multimedia databases
World Scientific, 2015. — 322 p. — ISBN: 981469665X, 9789814696654
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.
Multimedia Databases
Transform Functions
Compression
Feature Extraction
Low Dimensional Indexing
Approximative Indexing
High Dimensional Indexing
Dealing with Text Databases
Statistical Supervised Machine Learning
Multimodal Fusion
Software Architecture
Multimedia Databases in Medicine
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