Region-based layout analysis of music score images

Author:

Castellanos Francisco J.ORCID,Garrido-Munoz CarlosORCID,Ríos-Vila AntonioORCID,Calvo-Zaragoza Jorge

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference43 articles.

1. Document layout analysis: A comprehensive survey;Binmakhashen;ACM Computing Surveys,2019

2. Bosch, V., Calvo-Zaragoza, J., Toselli, A. H., & Vidal-Ruiz, E. (2016). Sheet Music Statistical Layout Analysis. In 15th International conference on frontiers in handwriting recognition (pp. 313–8).

3. Large-scale machine learning with stochastic gradient descent;Bottou,2010

4. Burgoyne, J. A., Ouyang, Y., Himmelman, T., Devaney, J., Pugin, L., & Fujinaga, I. (2009). Lyric extraction and recognition on digital images of early music sources. In Proceedings of the 10th International society for music information retrieval conference, vol. 10 (pp. 723–727).

5. Deep neural networks for document processing of music score images;Calvo-Zaragoza;Applied Sciences,2018

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3. End-to-end optical music recognition for pianoform sheet music;International Journal on Document Analysis and Recognition (IJDAR);2023-05-12

4. A Weakly-Supervised Approach for Layout Analysis in Music Score Images;Pattern Recognition and Image Analysis;2023

5. Optical Music Recognition: Recent Advances, Current Challenges, and Future Directions;Document Analysis and Recognition – ICDAR 2023 Workshops;2023

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