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dc.contributor.authorMüller, Meinarden_US
dc.contributor.editorK. Museth and D. Weiskopfen_US
dc.date.accessioned2015-07-09T11:10:56Z
dc.date.available2015-07-09T11:10:56Z
dc.date.issued2009en_US
dc.identifier.urihttp://dx.doi.org/10.2312/egt.20091072en_US
dc.description.abstractIn this tutorial, we study fundamental algorithms and concepts for the analysis, classification, indexing, and retrieval of time-dependent data streams considering motion capture data as well as waveform-based music data as examples. Important aspects concern the design of suitable features, the notion of similarity used to compare data streams, as well as data organization. One general goal of this tutorial is to highlight the interplay between modeling, experimentation, and mathematical theory as well as to give some insights into active research fields.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleAnalysis and Retrieval Techniques for Motion and Music Dataen_US
dc.description.seriesinformationEurographics 2009 - Tutorialsen_US
dc.description.sectionheadersT7en_US
dc.identifier.doi10.2312/egt.20091072en_US
dc.identifier.pages249-255en_US


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