Multimedia Data Mining

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A01=Ruofei Zhang
A01=Zhongfei Zhang
ACM Press
Annotation Words
audio data classification
Author_Ruofei Zhang
Author_Zhongfei Zhang
Automatic Image Annotation
Category=UNF
Cauchy Function
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
feature
function
fuzzy
Fuzzy Set
GAs
HDP
IEEE Computer Society Press
image
Image Data Mining
knowledge discovery
large-scale video retrieval methods
LDA
Maximum Entropy Classifier
membership
Membership Functions
Multimedia Data
Multimedia Data Mining
Naive Bayes Classifier
pattern recognition
Posterior Probability
Probabilistic Latent Semantic Analysis
Proposed Prototype System
prototype
query
Query Image
RBF Kernel
RBF Kernel Function
retrieval
semantic concept extraction
Semantic Repository
Semi-supervised Learning
set
soft computing techniques
statistical learning theory
SVM
vector
Video Search Engine

Product details

  • ISBN 9781584889663
  • Weight: 594g
  • Dimensions: 156 x 234mm
  • Publication Date: 02 Dec 2008
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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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