Utrecht / Istanbul / Tournai / Barcelona / Solesmes / Berlin / Bloomington / Bonn / Miami / Vienna / Lyon / /
Company
Google / OCLC Systems / Macmillan / /
Country
Belgium / France / Canada / Australia / /
Currency
EUR / / /
Facility
University of Bonn / University of Western Ontario / National Library of Australia Staff Papers / McGill University / /
IndustryTerm
standalone desktop applications / constantly-improving search / transcription technologies / word processor / search capabilities / symbolic search systems / web application / search result / book search projects / analysis software / software packages / web security measures / open-source software / Internet Archive digitization project / largescale solutions / desktop applications / Internet Archive projects / transcription tool / retrieval tools / search systems / image processing / search word / text search projects / optical music recognition applications / search query / search engine / command-line tools / document image navigation technology / recognition systems / retrieval systems / /
Organization
Social Sciences and Humanities Research Council of Canada / Catholic Church / Schulich School of Music / 13th International Society for Music Information Retrieval Conference / Canadian Foundation for Innovation / McGill University / DIGITAL DOCUMENT IMAGE RETRIEVAL USING OPTICAL MUSIC RECOGNITION Andrew Hankinson John Ashley Burgoyne Gabriel Vigliensoni Alastair Porter Jessica Thompson Wendy Liu Remi Chiu Ichiro Fujinaga Centre for Interdisciplinary Research / Roman Catholic Church / Centre for Interdisciplinary Research / International Society for Music Information Retrieval / University of Western Ontario / London / University of Bonn / /
Person
Mikaela Miller / Andrew Hankinson John Ashley Burgoyne / Julie Cumming / Alastair Porter Jessica Thompson Wendy / Jamie Klassen / Stephen Downie / Caylin Smith / Saining Li / Laura Osterlund / Mahtab Ghamsari / Laurent Pugin / Gabriel Vigliensoni Alastair Porter Jessica / Wendy Liu Remi Chiu Ichiro / /