Analysis and Retrieval Techniques for Motion and Music Data
| dc.contributor.author | Müller, Meinard | en_US |
| dc.contributor.editor | K. Museth and D. Weiskopf | en_US |
| dc.date.accessioned | 2015-07-09T11:10:56Z | |
| dc.date.available | 2015-07-09T11:10:56Z | |
| dc.date.issued | 2009 | en_US |
| dc.description.abstract | In 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.description.sectionheaders | T7 | en_US |
| dc.description.seriesinformation | Eurographics 2009 - Tutorials | en_US |
| dc.identifier.doi | 10.2312/egt.20091072 | en_US |
| dc.identifier.pages | 249-255 | en_US |
| dc.identifier.uri | https://doi.org/10.2312/egt.20091072 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | Analysis and Retrieval Techniques for Motion and Music Data | en_US |