Music staff removal with supervised pixel classification-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Music staff removal with supervised pixel classification

Published:2016-03-12 Issue:3 Volume:19 Page:211-219
ISSN:1433-2833
Container-title:International Journal on Document Analysis and Recognition (IJDAR)
language:en
Short-container-title:IJDAR

Author:

Calvo-Zaragoza Jorge,Micó Luisa,Oncina Jose

Funder

Spanish Ministerio de Educación, Cultura y Deporte

Ministerio de Economía y Competitividad

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s10032-016-0266-2.pdf

Reference34 articles.

1. Bainbridge, D., Bell, T.: The challenge of optical music recognition. Comput. Humanit. 35(2), 95–121 (2001). doi: 10.1023/A:1002485918032

2. Breiman, L.: Random forests. Mach. Learn. 45(1), 5–32 (2001). doi: 10.1023/A:1010933404324

3. Calvo-Zaragoza, J., Barbancho, I., Tardón, L.J., Barbancho, A.M.: Avoiding staff removal stage in optical music recognition: application to scores written in white mensural notation. Pattern Anal. Appl. 18(4), 933–943 (2015)

4. Carter, N.P.: Segmentation and preliminary recognition of madrigals notated in white mensural notation. Mach. Vis. Appl. 5(3), 223–229 (1992). doi: 10.1007/BF02627000

5. Ciresan, D., Meier, U., Schmidhuber, J.: Multi-column deep neural networks for image classification. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3642–3649. IEEE (2012)

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optical music recognition for homophonic scores with neural networks and synthetic music generation;International Journal of Multimedia Information Retrieval;2023-05-26

2. A detector for page-level handwritten music object recognition based on deep learning;Neural Computing and Applications;2023-01-20

3. A multi-layer image operator learning based on sample structure for staff lines removal;Applied Intelligence;2022-07-26

4. Segmentation process and spectral characteristics in the determination of musical genres;Procedia Computer Science;2020

5. OMR metrics and evaluation: a systematic review;Multimedia Tools and Applications;2019-12-14

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3