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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