Summary of Proceedings Of the 6th International Workshop on Reading Music Systems, by Jorge Calvo-zaragoza et al.
Proceedings of the 6th International Workshop on Reading Music Systems
by Jorge Calvo-Zaragoza, Alexander Pacha, Elona Shatri
First submitted to arxiv on: 24 Nov 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Information Retrieval (cs.IR); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The International Workshop on Reading Music Systems (WoRMS) aims to bridge the gap between researchers developing Optical Music Recognition (OMR) systems and practitioners who could benefit from such technology, including librarians and musicologists. The workshop focuses on topics like OMR, datasets, performance evaluation, image processing on music scores, writer identification, authoring, editing, storing, and presentation systems for music scores, multi-modal systems, novel input-methods, web-based Music Information Retrieval services, applications, and projects. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The WoRMS workshop brings together researchers who create Optical Music Recognition (OMR) systems with practitioners like librarians and musicologists. The goal is to share knowledge and ideas about how to read and understand music written by hand or printed on paper. This might involve recognizing specific musical symbols, identifying the writer of a score, or creating new ways for musicians to write down their compositions. |
Keywords
» Artificial intelligence » Multi modal
