Multimedia Data Mining

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A01=Ruofei Zhang
A01=Zhongfei Zhang
audio data classification
Author_Ruofei Zhang
Author_Zhongfei Zhang
Category=UNF
Category=UYQM
Category=UYQV
eq_bestseller
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
knowledge discovery
large-scale video retrieval methods
pattern recognition
semantic concept extraction
soft computing techniques
statistical learning theory

Product details

  • ISBN 9780367386276
  • Weight: 621g
  • Dimensions: 156 x 234mm
  • Publication Date: 18 Oct 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

Zhang, Zhongfei; Zhang, Ruofei

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