From Web to Map Exploring the World of Music
Ever growing music collections ask for novel ways of organization. The traditional browsing of folder hierarchies or search by title and album tends to be insufficient to maintain an overview of a collection of orders of thousands of tracks. Methods based on song similarity offer an alternative to k...
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| Vydáno v: | Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01 Ročník 1; s. 242 - 248 |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
Washington, DC, USA
IEEE Computer Society
09.12.2008
IEEE |
| Edice: | ACM Conferences |
| Témata: | |
| ISBN: | 9780769534961, 0769534961 |
| On-line přístup: | Získat plný text |
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| Abstract | Ever growing music collections ask for novel ways of organization. The traditional browsing of folder hierarchies or search by title and album tends to be insufficient to maintain an overview of a collection of orders of thousands of tracks. Methods based on song similarity offer an alternative to keyword-based search. In this work we propose to use a high-dimensional map of the "world of music" as a data structure for music retrieval and exploration of personal collections. Our approach does not require expensive analysis of audio signals and scales to hundreds of thousands of tracks. The techniques presented in this work can be used in a variety of applications, ranging from automatic DJs to file sharing on mobile devices. As a concrete example, we have developed a web-application that allows users to visualize and navigate through their music collections and create playlists by specifying trajectories. |
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| AbstractList | Ever growing music collections ask for novel ways of organization. The traditional browsing of folder hierarchies or search by title and album tends to be insufficient to maintain an overview of a collection of orders of thousands of tracks. Methods based on song similarity offer an alternative to keyword-based search. In this work we propose to use a high-dimensional map of the "world of music" as a data structure for music retrieval and exploration of personal collections. Our approach does not require expensive analysis of audio signals and scales to hundreds of thousands of tracks. The techniques presented in this work can be used in a variety of applications, ranging from automatic DJs to file sharing on mobile devices. As a concrete example, we have developed a web-application that allows users to visualize and navigate through their music collections and create playlists by specifying trajectories. |
| Author | Kuhn, Michael Goussevskaia, Olga Lorenzi, Michael Wattenhofer, Roger |
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| Keywords | collaborative filtering visualization music playlist embedding graph high-dimensional space music similarity |
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| PublicationTitle | Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01 |
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| Snippet | Ever growing music collections ask for novel ways of organization. The traditional browsing of folder hierarchies or search by title and album tends to be... |
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| StartPage | 242 |
| SubjectTerms | Applied computing -- Arts and humanities -- Performing arts Applied computing -- Arts and humanities -- Sound and music computing Collaboration collaborative filtering Concrete Data structures embedding graph high-dimensional space Information analysis Information filtering Information filters Information systems -- Information retrieval Information systems -- Information retrieval -- Specialized information retrieval -- Multimedia and multimodal retrieval -- Music retrieval Information systems -- Information storage systems Intelligent agent music Music information retrieval music similarity Navigation playlist Visualization |
| Subtitle | Exploring the World of Music |
| Title | From Web to Map |
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