Camera-based Optical Music Recognition using a Convolutional Neural Network

被引：3

作者：

Rico, Adria ^{[1
]}

Fornes, Alicia ^{[1
]}

机构：

[1] Univ Autonoma Barcelona, Comp Sci Dept, Comp Vis Ctr, Bellaterra, Catalonia, Spain

来源：

2017 14TH IAPR INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR 2017), VOL 2 | 2017年

关键词：

Terms optical music recognition; document analysis; convolutional neural network; deep learning; SCORES; REMOVAL;

D O I：

10.1109/ICDAR.2017.261

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Optical Music Recognition (OMR) consists in recognizing images of music scores. Contrary to expectation, the current OMR systems usually fail when recognizing images of scores captured by digital cameras and smartphones. In this work, we propose a camera-based OMR system based on Convolutional Neural Networks, showing promising preliminary results.

引用

页码：27 / 28

页数：2

共 50 条

[1] Camera-based Basketball Scoring Detection Using Convolutional Neural Network
Fu, Xu-Bo
Yue, Shao-Long
Pan, De-Yun
[J]. INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING, 2021, 18 (02) : 266 - 276
[2] Camera-based Basketball Scoring Detection Using Convolutional Neural Network
Xu-Bo Fu
Shao-Long Yue
De-Yun Pan
[J]. International Journal of Automation and Computing, 2021, 18 (02) : 266 - 276
[3] Camera-based Basketball Scoring Detection Using Convolutional Neural Network
Xu-Bo Fu
Shao-Long Yue
De-Yun Pan
[J]. International Journal of Automation and Computing, 2021, 18 : 266 - 276
[4] Music note position recognition in optical music recognition using convolutional neural network
Andrea
Paoline
Zahra, Amalia
[J]. International Journal of Arts and Technology, 2021, 13 (01): : 45 - 60
[5] Music note position recognition in optical music recognition using convolutional neural network
Andrea
Paoline
Zahra, Amalia
[J]. INTERNATIONAL JOURNAL OF ARTS AND TECHNOLOGY, 2021, 13 (01) : 45 - 60
[6] Camera-based Image Forgery Localization using Convolutional Neural Networks
Cozzolino, Davide
Verdoliva, Luisa
[J]. 2018 26TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2018, : 1372 - 1376
[7] Improving Deep-Learning-based Optical Music Recognition for Camera-based Inputs
Ng, Weihan
Xuan Truong Nguyen
[J]. 2022 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE CIRCUITS AND SYSTEMS (AICAS 2022): INTELLIGENT TECHNOLOGY IN THE POST-PANDEMIC ERA, 2022, : 118 - 121
[8] Optical Character Recognition using Convolutional Neural Network
Shreya, Sakshi
Upadhyay, Yash
Manchanda, Mohit
Vohra, Rubeena
Singh, Gagan Deep
[J]. PROCEEDINGS OF THE 2019 6TH INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM), 2019, : 55 - 59
[9] Recognition of emotion in music based on deep convolutional neural network
Sarkar, Rajib
Choudhury, Sombuddha
Dutta, Saikat
Roy, Aneek
Saha, Sanjoy Kumar
[J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (1-2) : 765 - 783
[10] Recognition of emotion in music based on deep convolutional neural network
Rajib Sarkar
Sombuddha Choudhury
Saikat Dutta
Aneek Roy
Sanjoy Kumar Saha
[J]. Multimedia Tools and Applications, 2020, 79 : 765 - 783

← 1 2 3 4 5 →