Analysis of Music, Musical Notation, Music Scores

Chapter Contents (Back)
Musical Notation. See also Music.

Prerau, D.,
Computer Pattern Recognition of Standard Engraved Music Notation,
Ph.D.Thesis, EE, MIT, 1970. BibRef 7000

Bainbridge, D.,
Extensible Optical Music Recognition,
Ph.D.Thesis, CS, University of Cantebury, New Zealand, 1997. BibRef 9700

Roach, J.W., Tatem, J.E.,
Using Domain Knowledge in Low-Level Visual Processing to Interpret Handwritten Music: An Experiment,
PR(21), No. 1, 1988, pp. 33-44.
WWW Version. BibRef 8800

Blostein, D., Baird, H.S.,
A Critical Survey of Music Image Analysis,
SDIA92(405-434). BibRef 9200

Modayur, B.R., Ramesh, V., Haralick, R.M., Shapiro, L.G.,
MUSER: A prototype musical score recognition system using mathematical morphology,
MVA(6), No. 2-3, 1993, pp. 140-150. BibRef 9300

Fahmy, H., Blostein, D.,
A graph grammar programming style for recognition of music notation,
MVA(6), No. 2-3, 1993, pp. 83-99. BibRef 9300

Kopec, G.E., Chou, P.A., Maltz, D.A.,
Markov Source Model for Printed Music Decoding,
JEI(5), No. 1, January 1996, pp. 7-14. BibRef 9601

Yadid-Pecht, O., Gerner, M., Dvir, L., Brutman, E., Shimony, U.,
Recognition of Handwritten Musical Notes by a Modified Neocognitron,
MVA(9), No. 2, 1996, pp. 65-72.
HTML Version. 9609
Neural Nets. Overall rates of around 80%. BibRef

Ng, K.C., Boyle, R.D.,
Recognition and Reconstruction of Primitives in Music Scores,
IVC(14), No. 1, February 1996, pp. 39-46.
WWW Version. 9608
Segmentation of Music Primitives,
PDF Version. 9209

Blostein, D.[Dorothea], Haken, L.[Lippold],
Using Diagram Generation Software to Improve Diagram Recognition: A Case Study of Music Notation,
PAMI(21), No. 11, November 1999, pp. 1121-1136.
IEEE DOI Link 9912

Gezerlis, V.G.[Velissarios G.], Theodoridis, S.[Sergios],
Optical character recognition of the Orthodox Hellenic Byzantine Music notation,
PR(35), No. 4, April 2002, pp. 895-914.
WWW Version. 0201
An Optical Music Recognition System for the Notation of the Orthodox Hellenic Byzantine Music,
ICPR00(Vol IV: 837-840).
IEEE DOI Link 0009

Rossant, F.[Florence],
A global method for music symbol recognition in typeset music sheets,
PRL(23), No. 10, August 2002, pp. 1129-1141.
Elsevier DOI Link 0205

Pinto, J.R.C.[Joăo R. Caldas], Vieira, P.[Pedro], Sousa, J.M.[Joăo M.],
A new graph-like classification method applied to ancient handwritten musical symbols,
IJDAR(6), No. 1, 2003, pp. 10-22.
HTML Version. 0308

Vieira, P.[Pedro], Pinto, J.R.C.[Joăo R. Caldas],
Recognition of Musical Symbols in Ancient Manuscripts,
ICIP01(III: 38-41).
IEEE DOI Link 0108

Miyao, H.[Hidetoshi], Maruyama, M.[Minoru],
An online handwritten music symbol recognition system,
IJDAR(9), No. 1, March 2007, pp. 49-58.
Springer DOI Link 0703
An online handwritten music score recognition system,
ICPR04(I: 461-464).
IEEE DOI Link 0409
See also On-Line Handwritten flowchart Recognition, Beautification and Editing System. BibRef

Dalitz, C.[Christoph], Droettboom, M.[Michael], Pranzas, B.[Bastian], Fujinaga, I.[Ichiro],
A Comparative Study of Staff Removal Algorithms,
PAMI(30), No. 5, May 2008, pp. 753-766.
IEEE DOI Link 0803
Staff lines in music. BibRef

Dalitz, C.[Christoph], Michalakis, G.K.[Georgios K.], Pranzas, C.[Christine],
Optical recognition of psaltic Byzantine chant notation,
IJDAR(11), No. 3, December 2008, pp. xx-yy.
Springer DOI Link 0804

Dalitz, C.[Christoph], Karsten, T.[Thomas], Droettboom, M.[Michael], Fujinaga, I.[Ichiro], Pose, F.[Florian], Czerwinski, B.[Bastian],
Staff Line Removal Toolkit for Gamera,
WWW Version. Code, Music Processing. BibRef 0500

dos Santos Cardoso, J.[Jaime], Capela, A.[Artur], Rebelo, A.[Ana], Guedes, C.[Carlos], da Costa, J.P.[Joaquim Pinto],
Staff Detection with Stable Paths,
PAMI(31), No. 6, June 2009, pp. 1134-1139.
IEEE DOI Link 0904
Earlier: A1, A2, A3, A4, Only:
A connected path approach for staff detection on a music score,
IEEE DOI Link 0810
Earlier: A2, A3, A1, A4, Only:
Staff Line Detection and Removal with Stable Paths,
SPMM08(263-270). Staff lines for transcribing handwritten scores. Lines affected by curvature, discontinuities, and inclination are robustly detected. Find the shortest, mostly straight, path from one side to the other. BibRef

Rebelo, A., Capela, G., Cardoso, J.S.[Jaime S.],
Optical Recognition of Music Symbols: A Comparative Study,
IJDAR(13), No. 1, March 2010, pp. xx-yy.
Springer DOI Link 1003
Survey, Music Symbols. BibRef

Tardón, L.J.[Lorenzo J.], Sammartino, S.[Simone], Barbancho, I.[Isabel], Gómez, V.[Verónica], Oliver, A.[Antonio],
Optical Music Recognition for Scores Written in White Mensural Notation,
JIVP(2009), No. 2009, pp. xx-yy.
DOI Link 1003

Fornés, A.[Alicia], Lladós, J.[Josep], Sánchez, G.[Gemma], Otazu, X.[Xavier], Bunke, H.[Horst],
A combination of features for symbol-independent writer identification in old music scores,
IJDAR(13), No. 4, December 2010, pp. 243-259.
WWW Version. 1101

Fernández, D.[David], Lladós, J.[Josep], Fornés, A.[Alicia],
Handwritten Word Spotting in Old Manuscript Images Using a Pseudo-structural Descriptor Organized in a Hash Structure,
Springer DOI Link 1106

Fornes, A.[Alicia], Llados, J.[Josep],
A Symbol-Dependent Writer Identification Approach in Old Handwritten Music Scores,
IEEE DOI Link 1011

Fornés, A.[Alicia], Dutta, A.[Anjan], Gordo, A.[Albert], Lladós, J.[Josep],
CVC-MUSCIMA: a ground truth of handwritten music score images for writer identification and staff removal,
IJDAR(15), No. 3, September 2012, pp. 243-251.
WWW Version. 1209

Gordo, A.[Albert], Fornés, A.[Alicia], Valveny, E.[Ernest],
Writer identification in handwritten musical scores with bags of notes,
PR(46), No. 5, May 2013, pp. 1337-1345.
Elsevier DOI Link 1302
Writer identification; Handwritten musical scores; Bag of notes See also Word Spotting and Recognition with Embedded Attributes. BibRef

Rebelo, A., Cardoso, J.S.,
Staff Line Detection and Removal in the Grayscale Domain,
IEEE DOI Link 1312
feature extraction BibRef

Malik, R., Roy, P.P., Pal, U., Kimura, F.,
Handwritten Musical Document Retrieval Using Music-Score Spotting,
IEEE DOI Link 1312
document image processing BibRef

Niitsuma, M.[Masahiro], Schomaker, L.[Lambert],
Writer Identification in Old Music Manuscripts Using Contour-Hinge Feature and Dimensionality Reduction with an Autoencoder,
Springer DOI Link 1311

Rebelo, A.[Ana], Marçal, A.R.S.[André R. S.], Cardoso, J.S.[Jaime S.],
Global Constraints for Syntactic Consistency in OMR: An Ongoing Approach,
Springer DOI Link 1307
Optical Music Recognition. BibRef

Timofte, R.[Radu], Van Gool, L.J.[Luc J.],
Automatic Stave Discovery for Musical Facsimiles,
Springer DOI Link 1304

Piatkowska, W.[Weronika], Nowak, L.[Leszek], Pawlowski, M.[Marcin], Ogorzalek, M.[Maciej],
Stafflines Pattern Detection Using the Swarm Intelligence Algorithm,
Springer DOI Link 1210

Pinto, T.[Telmo], Rebelo, A.[Ana], Giraldi, G.[Gilson], Cardoso, J.S.[Jaime S.],
Music Score Binarization Based on Domain Knowledge,
Springer DOI Link 1106

Cardoso, J.S.[Jaime S.], Rebelo, A.[Ana],
Robust Staffline Thickness and Distance Estimation in Binary and Gray-Level Music Scores,
IEEE DOI Link 1008

Visaniy, M., Kieu, V.C., Fornes, A., Journet, N.,
ICDAR 2013 Music Scores Competition: Staff Removal,
IEEE DOI Link 1312
image recognition BibRef

Fornes, A.[Alicia], Dutta, A.[Anjan], Gordo, A.[Albert], Llados, J.[Josep],
The ICDAR 2011 Music Scores Competition: Staff Removal and Writer Identification,
IEEE DOI Link 1111

Dutta, A.[Anjan], Pal, U.[Umapada], Fornes, A.[Alicia], Llados, J.[Josep],
An Efficient Staff Removal Approach from Printed Musical Documents,
IEEE DOI Link 1008

Dalitz, C.[Christoph], Pranzas, C.[Christine],
German Lute Tablature Recognition,
IEEE DOI Link 0907

Mokbel, B.[Bassam], Hasenfuss, A.[Alexander], Hammer, B.[Barbara],
Graph-Based Representation of Symbolic Musical Data,
Springer DOI Link 0905

Szwoch, M.[Mariusz],
Guido: A Musical Score Recognition System,
IEEE DOI Link 0709
A Robust Detector for Distorted Music Staves,
Springer DOI Link 0509

Toyama, F.[Fubito], Shoji, K.[Kenji], Miyamichi, J.[Juichi],
Symbol Recognition of Printed Piano Scores with Touching Symbols,
ICPR06(II: 480-483).
IEEE DOI Link 0609

Stückelberg, M.V., Pellegrini, C., Hilario, M.,
An Architecture for Musical Score Recognition Using High-Level Domain Knowledge,
IEEE DOI Link 9708

Kashino, K., Hagita, N.,
A Music Scene Analysis System with the MRF-Based Information Integration Scheme,
ICPR96(II: 725-729).
IEEE DOI Link 9608
(NTT Basic Res. Labs, J) BibRef

Reed, K., Parker, J.,
Automatic Computer Recognition of Printed Music,
ICPR96(III: 803-807).
IEEE DOI Link 9608
(Univ. of Calgary, CDN) BibRef

d'Andecy, V.P., Camillerapp, J., Leplumey, I.,
Kalman filtering for segment detection: application to music scores analysis,
IEEE DOI Link 9410

Leplumey, I., Camillerapp, J., Lorette, G.,
A Robust Detector for Music Staves,
ICDAR93(902-905). BibRef 9300

Sicard, E.,
An efficient method for the recognition of printed music,
IEEE DOI Link 9208

Kato, H., Inokuchi, S.,
A Recognition System for Printed Piano Music using Musical Knowledge and Constraints,
SDIA92(xx-yy). 0905

Carter, N.P., Bacon, R.A.,
Automatic Recognition of Printed Music,
SDIA92(xx-yy). 0905

Itagaki, T., Isogai, M., Hashimoto, S., Ohteru, S.,
Automatic Recognition of Several Types of Musical Notation,
SDIA92(xx-yy). 0905

Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Detection and Correction of Document Skew, and other Distortions .

Last update:Nov 18, 2014 at 16:40:01