How to Exploit Music Notation Syntax for OMR?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10372149" target="_blank" >RIV/00216208:11320/17:10372149 - isvavai.cz</a>
Result on the web
<a href="http://doi.org/10.1109/ICDAR.2017.275" target="_blank" >http://doi.org/10.1109/ICDAR.2017.275</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICDAR.2017.275" target="_blank" >10.1109/ICDAR.2017.275</a>
Alternative languages
Result language
angličtina
Original language name
How to Exploit Music Notation Syntax for OMR?
Original language description
A major roadblock for Optical Music Recognition, especially for handwritten music notation, is symbol detection: recovering the locations of musical symbols from the input page. This has been attempted both with bottom-up approaches exploiting visual features, and top-down approaches based on the strong constraints that music notation syntax imposes on possible symbol configurations; sometimes joined together at appropriate points in the recognition process. The bottom-up approach has recently greatly improved with the boom of neural networks. However, the reduction in uncertainty that music notation syntax can provide has not yet been married to the power of these neural network models. This extended abstract brainstorms ways in which this can be done, and analyzes the difficulties the various combined approaches will have to address. We hope our work will foster further discussion to clarify the issues involed, provoke OMR researchers to try some of these approaches experimentally, and entice resear
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 12th IAPR International Workshop on Graphics Recognition
ISBN
978-1-5386-3586-5
ISSN
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e-ISSN
neuvedeno
Number of pages
2
Pages from-to
55-56
Publisher name
IEEE Computer Society
Place of publication
New York, USA
Event location
Kyoto, Japan
Event date
Nov 9, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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