| Multimedia Data Mining: A Systematic Introduction to Concepts and Theory Contributor(s): Zhang, Zhongfei (Author), Zhang, Ruofei (Author) |
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ISBN: 1584889667 ISBN-13: 9781584889663 Publisher: CRC Press OUR PRICE: $133.00 Product Type: Hardcover - Other Formats Published: December 2008 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Computers | Databases - Data Mining - Computers | Interactive & Multimedia - Computers | Computer Graphics |
| Dewey: 006.7 |
| LCCN: 2008039398 |
| Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery |
| Physical Information: 0.9" H x 6.1" W x 9.3" (1.25 lbs) 320 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |