Multimedia Data Mining : A Systematic Introduction to Concepts and Theory

Zhongfei Zhang

ISBN 10: 1584889667 / ISBN 13: 9781584889663

Published by Taylor & Francis Inc Dez 2008, 2008

About this Item

Neuware - Multimedia data mining is a growing research field of interest to researchers in a wide range of disciplines. Multimedia Data Mining: A Systematic Introduction to Concepts and Theory describes the fundamental theory and techniques used in multimedia data mining research and practice. The book covers statistical mining theory and methods, soft-computing-based mining theory and methods, and graph-based mining theory and methods. The authors also discuss in detail the applications of these techniques in various modalities of multimedia data, including imagery, video, and audio. In addition, the book provides a website with supplementary information.

Seller Inventory # 9781584889663

Bibliographic Details

• Title: Multimedia Data Mining : A Systematic Introduction to Concepts and Theory
• Publisher: Taylor & Francis Inc Dez 2008
• Publication Date: 2008
• Language: English
• ISBN 10: 1584889667
• ISBN 13: 9781584889663
• Binding: Buch
• Condition: Neu
• Dimensions: 234W x 156H x 0D millimeters 234 millimeters width by 156 millimeters height by 0 millimeters depth
• Weight: 594 grams

About this title

Synopsis

Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines multimedia data mining, its theory, and its applications. Two of the most active researchers in multimedia data mining explore how this young area has rapidly developed in recent years.

The book first discusses the theoretical foundations of multimedia data mining, presenting commonly used feature representation, knowledge representation, statistical learning, and soft computing techniques. It then provides application examples that showcase the great potential of multimedia data mining technologies. In this part, the authors show how to develop a semantic repository training method and a concept discovery method in an imagery database. They demonstrate how knowledge discovery helps achieve the goal of imagery annotation. The authors also describe an effective solution to large-scale video search, along with an application of audio data classification and categorization.

This novel, self-contained book examines how the merging of multimedia and data mining research can promote the understanding and advance the development of knowledge discovery in multimedia data.

About the Author

Zhang, Zhongfei; Zhang, Ruofei