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]
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) |
|---|---|
| Subjects |
Mathematical and Computer Sciences > Information Modelling Creative Arts and Design > Multimedia Design Creative Arts and Design > Music |
| Departments, Centres and Research Units | Computing > Intelligent Sound and Music Systems (ISMS) |
| Date Deposited | 29 May 2013 10:45 |
| Last Modified | 20 Jun 2017 11:52 |