Content-based multimedia retrieval is a challenging research
field with many unsolved problems. This monograph details concepts
and algorithms for robust and efficient information retrieval of
two different types of multimedia data: waveform-based music data
and human motion data. It first examines several approaches in
music information retrieval, in particular general strategies as
well as efficient algorithms. The book then introduces a general
and unified framework for motion analysis, retrieval, and
classification, highlighting the design of suitable features, the
notion of similarity used to compare data streams, and data
organization.
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