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.
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