The OmniOMR Project
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10475738" target="_blank" >RIV/00216208:11320/23:10475738 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
The OmniOMR Project
Popis výsledku v původním jazyce
In March 2023, the OmniOMR project started with the aim of applying OMR technologies in a digital library environment. The project aims to provide full-text search functionality in musical documents in diverse library collections, covering primarily Common Western Music Notation, but (white) mensural and diastematic chant notations as well, both printed and handwritten. To provide this capability, we aim to build an "OmniOMR Service" - not just for recognition, but also the preceding step of music notation detection and classification, as not all documents that contain music notation are marked in library collections with the appropriate metadata. A significant condition for the project's success is building a dataset that accurately reflects the challenges present in a broad library collection. This report lays out in more detail the goals of the project, its current status, and most importantly, we outline the opportunities for collaboration across the OMR community.
Název v anglickém jazyce
The OmniOMR Project
Popis výsledku anglicky
In March 2023, the OmniOMR project started with the aim of applying OMR technologies in a digital library environment. The project aims to provide full-text search functionality in musical documents in diverse library collections, covering primarily Common Western Music Notation, but (white) mensural and diastematic chant notations as well, both printed and handwritten. To provide this capability, we aim to build an "OmniOMR Service" - not just for recognition, but also the preceding step of music notation detection and classification, as not all documents that contain music notation are marked in library collections with the appropriate metadata. A significant condition for the project's success is building a dataset that accurately reflects the challenges present in a broad library collection. This report lays out in more detail the goals of the project, its current status, and most importantly, we outline the opportunities for collaboration across the OMR community.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů