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.
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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.
Imprint | Chapman & Hall/CRC |
Country of origin | United States |
Series | Chapman & Hall/CRC Data Mining and Knowledge Discovery Series |
Release date | December 2008 |
Availability | Expected to ship within 12 - 17 working days |
First published | December 2008 |
Authors | Zhongfei Zhang, Ruofei Zhang |
Dimensions | 234 x 156 x 23mm (L x W x T) |
Format | Hardcover |
Pages | 320 |
ISBN-13 | 978-1-58488-966-3 |
Barcode | 9781584889663 |
Categories | |
LSN | 1-58488-966-7 |