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Zhang Z., Zhang R. Multimedia Data Mining. A Systematic Introduction to Concepts and Theory

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Zhang Z., Zhang R. Multimedia Data Mining. A Systematic Introduction to Concepts and Theory
Chapman & Hall/CRC Press, 2009. — 304 p.
This book is the very first monograph on multimedia data mining. The book presents the state-of-the-art materials in the area of multimedia data mining with three distinguishing features. First, this book brings together the literature of multimedia data mining and defines what this area is about, and puts multimedia data mining in perspective compared to other, more well-established research areas.
Second, the book includes an extensive coverage of the foundational theory of multimedia data mining with state-of-the-art materials, ranging from feature extraction and representations, to knowledge representations, to statistical learning theory and soft computing theory. Substantial effort is spent to ensure that the theory and techniques included in the book represent the state-of-the-art research in this area. Though not exhaustive, this book has a comprehensive systematic introduction to the theoretical foundations of multimedia data mining.
Third, in order to showcase to readers the potential and practical applications of the research in multimedia data mining, the book gives specific applications of multimedia data mining theory in order to solve real-world multimedia data mining problems, ranging from image search and mining, to image annotation, to video search and mining, and to audio classification.
While still in its infant stage, multimedia data mining has great momentum to further develop rapidly. It is hoped that the publication of this book shall lead and promote the further development of multimedia data mining research in academia, government, and industries, and its applications in all the sectors of our society.
I Introduction
II Theory and Techniques
Feature and Knowledge Representation forMultimedia Data
Statistical Mining Theory and Techniques
Soft Computing Based Theory and Techniques
III Multimedia Data Mining Application Examples
Image Database Modeling – Semantic Repository Training
Image Database Modeling – Latent Semantic Concept Discovery
A Multimodal Approach to Image Data Mining and Concept Discovery
Concept Discovery and Mining in a Video Database
Concept Discovery and Mining in an Audio Database
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