Advertisement

AudioRadar: A Metaphorical Visualization for the Navigation of Large Music Collections

  • Otmar Hilliges
  • Phillipp Holzer
  • Rene Klüber
  • Andreas Butz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4073)

Abstract

Collections of electronic music are mostly organized according to playlists based on artist names and song titles. Music genres are inherently ambiguous and, to make matters worse, assigned manually by a diverse user community. People tend to organize music based on similarity to other music and based on the music’s emotional qualities. Taking this into account, we have designed a music player which derives a set of criteria from the actual music data and then provides a coherent visual metaphor for a similarity-based navigation of the music collection.

Keywords

Music Information Retrieval Music Player Digital Music Visual Clutter Music Collection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Ahlberg, C., Shneiderman, B.: Visual information seeking: Tight coupling of dynamic query filters with starfield displays. In: Human Factors in Computing Systems. Conference Proceedings CHI 1994, pp. 313–317 (1994)Google Scholar
  2. 2.
    Apple Computer Inc. iTunes Music player, http://www.apple.com/itunes
  3. 3.
    Aucouturier, J.J., Pachet, F.: Music similarity measures: What’s the use? In: ISMIR The International Conferences on Music Information Retrieval and Related Activities. Conference Proceedings (2002)Google Scholar
  4. 4.
    Baumann, S.: Music similarity analysis in a p2p environment. In: WIAMIS 2003: Proceedings of the 4th European Workshop on Image Analysis for Multimedia Interactive Services (2003)Google Scholar
  5. 5.
    Berenzweig, A., Logan, B., Ellis, D.P.W., Whitman, B.: A large-scale evalutation of acoustic and subjective music similarity measures. In: Proceedings of the International Conference on Music Information Retrieval ISMIR 2003 (2003)Google Scholar
  6. 6.
  7. 7.
    Brecheisen, S., Kriegel, H.-P., Kunath, P., Pryakhin, A.: Hierarchical genre classification for large music collections. In: IEEE International Conference on Multimedia & Expo (ICME) (2006)Google Scholar
  8. 8.
    Cohen, W.W., Fan, W.: Web-collaborative filtering: recommending music by crawling the Web. Computer Networks (Amsterdam, Netherlands: 1999), 33(1–6), 685–698 (2000)Google Scholar
  9. 9.
    Ellis, D.P.W., Whitman, B., Berenzweig, A., Lawrence, S.: The quest for ground truth in musical artist similarity. In: Proceedings of the International Conference on Music Information Retrieval ISMIR 2002 (2002)Google Scholar
  10. 10.
    Foote, J., Cooper, M., Nam, U.: Audio Retrieval by Rhythmic Similarity. In: ISMIR The International Conferences on Music Information Retrieval and Related Activities. Conference Proceedings (2002)Google Scholar
  11. 11.
    Gouyon, F., Dixon, S., Pampalk, E., Widmer, G.: Evaluating Rhythmic Descriptors for Musical Genre Classification 29 (2005)Google Scholar
  12. 12.
    Li, M., Sleep, R.: Genre classification via an lz78-based string kernel. In: Proceedings of the International Conference on Music Information Retrieval ISMIR 2005 (2005)Google Scholar
  13. 13.
    Liu, D., Lu, L., Zhang, H.-J.: Automatic mood detection from acoustic music data. In: Proceedings of the International Conference on Music Information Retrieval ISMIR 2003 (2003)Google Scholar
  14. 14.
    Logan, B., Salomon, A.: A music similarity function based on signal analysis (2001)Google Scholar
  15. 15.
    McEnnis, D., McKay, C., Fujinaga, I., Depalle, P.: jaudio: An feature extraction library. In: Proceedings of the International Conference on Music Information Retrieval ISMIR 2005 (2005)Google Scholar
  16. 16.
    McGowan, M., Pfisterer, M., Scheerer, M., Szabo, D., Spears, M., Santon, P.: JLayer - MP3 Library for the Java Platform, http://www.javazoom.net/javalayer/about.html
  17. 17.
    Nilsson, M.: Informal standard for ID3 tags version 2.3.0, http://www.id3.org/id3v2.3.0.html
  18. 18.
    Nullsoft. Winamp homepage, http://www.winamp.com
  19. 19.
    Pampalk, E., Dixon, S., Widmer, G.: Exploring music collections by browsing different views. In: Proceedings of the International Conference on Music Information Retrieval ISMIR 2003 (2003)Google Scholar
  20. 20.
    Schedl, M., Knees, P., Widmer, G.: Discovering and visualizing prototypical artists by web-based co-occurrence analysis. In: Proceedings of the International Conference on Music Information Retrieval ISMIR 2005 (2005)Google Scholar
  21. 21.
    Torrens, M., Hertzog, P., Arcos, J.L.: Visualizing and exploring personal music libraries. In: Proceedings of the International Conference on Music Information Retrieval ISMIR 2004 (2004)Google Scholar
  22. 22.
    Typke, R., Wiering, F., Veltkamp, R.C.: A survey of music information retrieval systems. In: Proceedings of the International Conference on Music Information Retrieval ISMIR 2005 (2005)Google Scholar
  23. 23.
    Uitdenbogerd, A., van Schyndel, R.: A review of factors affecting music recommender success. In: Proceedings of the International Conference on Music Information Retrieval ISMIR 2002 (2002)Google Scholar
  24. 24.
    van Gulik, R., Vignoli, F.: Visual playlist generation on the artist map. In: Proceedings of the International Conference on Music Information Retrieval ISMIR 2005 (2005)Google Scholar
  25. 25.
    Frederic Vavrille. liveplasma, http://www.liveplasma.com/
  26. 26.
    Vignoli, F., van Gulik, R., van de Wetering, H.: Mapping music in the palm of your hand, explore and discover your collection. In: Proceedings of the International Conference on Music Information Retrieval ISMIR 2004 (2004)Google Scholar
  27. 27.
    Westergren, T.: The music genome project, http://www.pandora.com/
  28. 28.
    X Multi Media System. XMMS homepage, http://www.xmms.org

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Otmar Hilliges
    • 1
  • Phillipp Holzer
    • 1
  • Rene Klüber
    • 1
  • Andreas Butz
    • 1
  1. 1.Media InformaticsUniversity of MunichMunichGermany

Personalised recommendations