mHashup: Fast Visual Music Discovery Via Locality-Sensitive Hashing
Michael Casey, Michela Magas, Christophe Rhodes
ACM SIGGRAPH, Los Angeles, CA, 2008
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 [...]
