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]

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Abstract 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.

Item Type:

Conference or Workshop Item (Paper)

Identification Number (DOI):

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Departments, Centres and Research Units:

Computing > Intelligent Sound and Music Systems (ISMS)



Event Location:

Los Angeles, United States

Date range:

11-15 August

Item ID:


Date Deposited:

29 May 2013 10:45

Last Modified:

20 Jun 2017 11:52


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