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Output details

11 - Computer Science and Informatics

Goldsmiths' College

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Output title

mHashup: fast visual music discovery via locality sensitive hashing

Type

E - Conference contribution

DOI

10.1145/1401615.1401641

Name of conference/published proceedings

SIGGRAPH 2008

Volume number

Issue number

First page of article

ISSN of proceedings

Year of publication

2008

URL

http://eprints.gold.ac.uk/8301/

Number of additional authors

Additional information

<17> SIGGRAPH demo of Mhashup developed through EPSRC OMRAS2 grant. This mode of working was seminal in defining Goldsmiths Computing research, bringing together Casey’s algorithms and Magas’s art, producing a system for visualising audio collections. Mhashup visualises content-based audio search via audio 'shingles', overlapping time-series features used in our Locality Sensitive Hashing algorithms. Work led to support from Google (Faculty Research Award in 2011 for Casey) for information retrieval; also Technology Strategy Board funding for Magas for Online Platform for Music Discovery; and to the formation of a company, Sonaris (somaris.org). See videos (including BBC coverage) at http://www.omras2.org/mHashup.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract