Music Retrieval

People associate music sometimes with very different moods and emotions and prefer hence in different situations another background music. What is for someone the perfect music choice for relaxion after a stressful working day can for someone else in the extreme case evoke stress. Often someone associates with a single music calmness, sometimes one associates with a special artist or a whole style of music a specific personal experiences or special moments. For instance, a certain piece of music might remind you of a special experience of your youth und the connected associations, while another piece could remind you of a holiday passed in a certain country or town allthough the music have no direct reference to it. Such personal associations are an important aspect of handling music. In existing systems which should ease the access to digital music these personal aspects are insufficiently taken into account. Information about the user are often only rudimentary gathered and modeled. A main goal of our research is to contribute to a better integration and modelling of user specific information.


Selected Publications

  • Sebastian Stober. Adaptive Methods for User-Centered Organization of Music Collections. Dissertation, Otto von Guericke University, Magdeburg, Germany, Nov 2011. (published by Dr. Hut Verlag, ISBN 978-3-8439-0229-8)
  • Sebastian Stober & Andreas Nürnberger. Adaptive Music Retrieval - A State of the Art. In: Multimedia Tools and Applications 2012. ('Online First' article)
  • Sebastian Stober. Adaptive Distance Measures for Exploration and Structuring of Music Collections. In: Proc. of AES 42nd Conf. on Semantic Audio, 2011.
  • Sophie Stellmach; Sebastian Stober; Raimund Dachselt & Andreas Nürnberger. Designing Gaze-supported Multimodal Interactions for the Exploration of Large Image Collections. In: Proc. of 1st Int. Conf. on Novel Gaze-Controlled Applications (NGCA'11), Pages 1-8, 2011. (Best Paper Award)
  • Sebastian Stober & Andreas Nürnberger. A Multi-Focus Zoomable Interface for Multi-Facet Exploration of Music Collections. In K. Jensen et al. (eds.): Exploring Music Contents, LNCS, Volume 6684, Pages 273-302, Springer Verlag, Berlin / Heidelberg, 2011.
  • Sebastian Stober & Andreas Nürnberger. User-Adaptive Music Information Retrieval. In: KI Volume 23, Number 2, Pages 54-57, 2009.
more publications
Beatles Explorer

Last Modification: 01.03.2018 - Contact Person:

Sie können eine Nachricht versenden an: Prof. Dr.-Ing. Andreas Nürnberger