mHashup: fast visual music discovery via locality sensitive hashing
Magas, Michela; Casey, Michael A. and Rhodes, Christophe. 2008. 'mHashup: fast visual music discovery via locality sensitive hashing'. In: SIGGRAPH. Los Angeles, United States 11-15 August. [Conference or Workshop Item]
No full text availableAbstract or Description
Millions of tracks in music download services pose a problem: how
to find “dark media” – those items for which little is known but that
users may want to find. The problem is similar for music lawyers
and musicologists: how to identify closely matching music
fragments in large recorded music collections.
mHashup is a novel visual interface to large music collections, such
as today’s million-song download services, for discovering musical
relationships among tracks. Users engage in direct on-screen query
and retrieval of music fragments in an instantaneous feedback flow
performed by a locality-sensitive hash table in secondary storage.
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Conference or Workshop Item (Paper) |
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Los Angeles, United States |
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11-15 August |
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Item ID: |
8301 |
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Date Deposited: |
29 May 2013 10:45 |
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Last Modified: |
20 Jun 2017 11:52 |
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