max planck institut
informatik
informatik
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In this course, we study fundamental algorithms and concepts for the analysis, classification, indexing, and retrieval of time-dependent data streams considering music and audio data as well as motion capture 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.
In this course, we discuss a number of current research problems in multimedia information retrieval covering aspects from information science, digital signal processing, and computer animation. We provide the necessary background information and give numerous motivating examples so that no specialized knowledge is required. However, the students should have a solid mathematical background. The lecture is accompanied by readings from textbooks or the research literature. Furthermore, the students are encouraged to experiment with the presented algorithms using MATLAB.
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Meinard Müller Information Retrieval for Music and Motion 318 p. 136 illus. 39 in color, hardcover ISBN: 978-3-540-74047-6 Springer |
© 2008
Meinard Müller
April 24, 2008 06:00:00 PM