| Records |
Author  |
Alicia Fornes; Josep Llados; Joan Mas; Joana Maria Pujadas-Mora; Anna Cabre |
| Title |
A Bimodal Crowdsourcing Platform for Demographic Historical Manuscripts |
Type |
Conference Article |
| Year |
2014 |
Publication |
Digital Access to Textual Cultural Heritage Conference |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
103-108 |
| Keywords |
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| Abstract |
In this paper we present a crowdsourcing web-based application for extracting information from demographic handwritten document images. The proposed application integrates two points of view: the semantic information for demographic research, and the ground-truthing for document analysis research. Concretely, the application has the contents view, where the information is recorded into forms, and the labeling view, with the word labels for evaluating document analysis techniques. The crowdsourcing architecture allows to accelerate the information extraction (many users can work simultaneously), validate the information, and easily provide feedback to the users. We finally show how the proposed application can be extended to other kind of demographic historical manuscripts. |
| Address |
Madrid; May 2014 |
| Corporate Author |
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Thesis |
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Place of Publication |
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Editor |
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Original Title |
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Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
978-1-4503-2588-2 |
Medium |
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| Area |
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Expedition |
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Conference |
DATeCH |
| Notes |
DAG; 600.061; 602.006; 600.077 |
Approved |
no |
| Call Number |
Admin @ si @ FLM2014 |
Serial |
2516 |
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| Author |
Alicia Fornes; Josep Llados; Gemma Sanchez; Xavier Otazu; Horst Bunke |
| Title |
A Combination of Features for Symbol-Independent Writer Identification in Old Music Scores |
Type |
Journal Article |
| Year |
2010 |
Publication |
International Journal on Document Analysis and Recognition |
Abbreviated Journal |
IJDAR |
| Volume |
13 |
Issue |
4 |
Pages |
243-259 |
| Keywords |
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| Abstract |
The aim of writer identification is determining the writer of a piece of handwriting from a set of writers. In this paper, we present an architecture for writer identification in old handwritten music scores. Even though an important amount of music compositions contain handwritten text, the aim of our work is to use only music notation to determine the author. The main contribution is therefore the use of features extracted from graphical alphabets. Our proposal consists in combining the identification results of two different approaches, based on line and textural features. The steps of the ensemble architecture are the following. First of all, the music sheet is preprocessed for removing the staff lines. Then, music lines and texture images are generated for computing line features and textural features. Finally, the classification results are combined for identifying the writer. The proposed method has been tested on a database of old music scores from the seventeenth to nineteenth centuries, achieving a recognition rate of about 92% with 20 writers. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer-Verlag |
Place of Publication |
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Editor |
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Original Title |
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| Series Editor |
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Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
1433-2833 |
ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
DAG; CAT;CIC |
Approved |
no |
| Call Number |
FLS2010b |
Serial |
1319 |
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| Author |
Alicia Fornes; Josep Llados; Gemma Sanchez; Horst Bunke |
| Title |
Writer Identification in Old Handwritten Music Scores |
Type |
Conference Article |
| Year |
2008 |
Publication |
Proceedings of the 8th International Workshop on Document Analysis Systems, |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
347–353 |
| Keywords |
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| Abstract |
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| Address |
Nara (Japan) |
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Series Issue |
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Edition |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
DAS |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ FLS2008b |
Serial |
1078 |
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| Author |
Alicia Fornes; Josep Llados; Gemma Sanchez; Horst Bunke |
| Title |
Symbol-independent writer identification in old handwritten music scores |
Type |
Conference Article |
| Year |
2009 |
Publication |
In proceedings of 8th IAPR International Workshop on Graphics Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
186–197 |
| Keywords |
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| Abstract |
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| Address |
La Rochelle, France |
| Corporate Author |
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Thesis |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
0302-9743 |
ISBN |
978-3-642-13727-3 |
Medium |
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| Area |
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Expedition |
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Conference |
GREC |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ FLS2009a |
Serial |
1222 |
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| Author |
Alicia Fornes; Josep Llados; Gemma Sanchez; Horst Bunke |
| Title |
On the use of textural features for writer identification in old handwritten music scores |
Type |
Conference Article |
| Year |
2009 |
Publication |
10th International Conference on Document Analysis and Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
996 - 1000 |
| Keywords |
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| Abstract |
Writer identification consists in determining the writer of a piece of handwriting from a set of writers. In this paper we present a system for writer identification in old handwritten music scores which uses only music notation to determine the author. The steps of the proposed system are the following. First of all, the music sheet is preprocessed for obtaining a music score without the staff lines. Afterwards, four different methods for generating texture images from music symbols are applied. Every approach uses a different spatial variation when combining the music symbols to generate the textures. Finally, Gabor filters and Grey-scale Co-ocurrence matrices are used to obtain the features. The classification is performed using a k-NN classifier based on Euclidean distance. The proposed method has been tested on a database of old music scores from the 17th to 19th centuries, achieving encouraging identification rates. |
| Address |
Barcelona |
| Corporate Author |
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Thesis |
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Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
1520-5363 |
ISBN |
978-1-4244-4500-4 |
Medium |
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| Area |
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Expedition |
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Conference |
ICDAR |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ FLS2009b |
Serial |
1223 |
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| Author |
Alicia Fornes; Josep Llados; Gemma Sanchez; Horst Bunke |
| Title |
Writer Identification in Old Handwritten Music Scores |
Type |
Book Chapter |
| Year |
2012 |
Publication |
Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
27-63 |
| Keywords |
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| Abstract |
The aim of writer identification is determining the writer of a piece of handwriting from a set of writers. In this paper we present a system for writer identification in old handwritten music scores. Even though an important amount of compositions contains handwritten text in the music scores, the aim of our work is to use only music notation to determine the author. The steps of the system proposed are the following. First of all, the music sheet is preprocessed and normalized for obtaining a single binarized music line, without the staff lines. Afterwards, 100 features are extracted for every music line, which are subsequently used in a k-NN classifier that compares every feature vector with prototypes stored in a database. By applying feature selection and extraction methods on the original feature set, the performance is increased. The proposed method has been tested on a database of old music scores from the 17th to 19th centuries, achieving a recognition rate of about 95%. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
IGI-Global |
Place of Publication |
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Editor |
Copnstantin Papaodysseus |
| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ FLS2012 |
Serial |
1828 |
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| Author |
Alicia Fornes; Josep Llados; Gemma Sanchez; Dimosthenis Karatzas |
| Title |
Rotation Invariant Hand-Drawn Symbol Recognition based on a Dynamic Time Warping Model |
Type |
Journal Article |
| Year |
2010 |
Publication |
International Journal on Document Analysis and Recognition |
Abbreviated Journal |
IJDAR |
| Volume |
13 |
Issue |
3 |
Pages |
229–241 |
| Keywords |
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| Abstract |
One of the major difficulties of handwriting symbol recognition is the high variability among symbols because of the different writer styles. In this paper, we introduce a robust approach for describing and recognizing hand-drawn symbols tolerant to these writer style differences. This method, which is invariant to scale and rotation, is based on the dynamic time warping (DTW) algorithm. The symbols are described by vector sequences, a variation of the DTW distance is used for computing the matching distance, and K-Nearest Neighbor is used to classify them. Our approach has been evaluated in two benchmarking scenarios consisting of hand-drawn symbols. Compared with state-of-the-art methods for symbol recognition, our method shows higher tolerance to the irregular deformations induced by hand-drawn strokes. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer-Verlag |
Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
1433-2833 |
ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
DAG; IF 2009: 1,213 |
Approved |
no |
| Call Number |
DAG @ dag @ FLS2010a |
Serial |
1288 |
| Permanent link to this record |
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| Author |
Alicia Fornes; Josep Llados; Gemma Sanchez |
| Title |
Primitive Segmentation in Old Handwritten Music Scores |
Type |
Miscellaneous |
| Year |
2005 |
Publication |
6th IAPR International Workshop on Graphics Recognition (GREC 2005) |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
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| Address |
Hong Kong, Hong Kong SAR (China) |
| Corporate Author |
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Place of Publication |
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Original Title |
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Edition |
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Medium |
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Expedition |
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Conference |
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| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ FLS2005a |
Serial |
584 |
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| Author |
Alicia Fornes; Josep Llados; Gemma Sanchez |
| Title |
Staff and graphical primitive segmentation in old handwritten music scores |
Type |
Miscellaneous |
| Year |
2005 |
Publication |
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Abbreviated Journal |
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Issue |
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Pages |
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Edition |
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Medium |
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Expedition |
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Conference |
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| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ FLS2005b |
Serial |
585 |
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| Author |
Alicia Fornes; Josep Llados; Gemma Sanchez |
| Title |
Primitive Segmentation in Old Handwritten Music Scores |
Type |
Book Chapter |
| Year |
2006 |
Publication |
Graphics Recognition: Ten Years Review and Future Perspectives, W. Liu, J. Llados (Eds.), LNCS 3926: 288–299 |
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Issue |
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Pages |
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Series Title |
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Edition |
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Medium |
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Expedition |
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Conference |
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| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ FLS2006 |
Serial |
697 |
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| Author |
Alicia Fornes; Josep Llados; Gemma Sanchez |
| Title |
Old Handwritten Musical Symbol Classification by a Dynamic Time Warping Based Method |
Type |
Conference Article |
| Year |
2007 |
Publication |
Seventh IAPR International Workshop on Graphics Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
26–27 |
| Keywords |
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| Abstract |
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| Address |
Curitiba (Brazil) |
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Edition |
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Medium |
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Expedition |
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Conference |
GREC |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ FLS2007 |
Serial |
887 |
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| Author |
Alicia Fornes; Josep Llados; Gemma Sanchez |
| Title |
Old Handwritten Musical Symbol Classification by a Dynamic TimeWrapping Based Method |
Type |
Book Chapter |
| Year |
2008 |
Publication |
Graphics Recognition: Recent Advances and New Opportunities |
Abbreviated Journal |
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| Volume |
5046 |
Issue |
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Pages |
52–60 |
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| Abstract |
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Editor |
W. Liu, J. Llados, J.M. Ogier |
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Original Title |
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LNCS |
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ISBN |
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Medium |
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Expedition |
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Conference |
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| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ FLS2008a |
Serial |
990 |
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| Author |
Alicia Fornes; Josep Llados |
| Title |
A Symbol-dependent Writer Identifcation Approach in Old Handwritten Music Scores |
Type |
Conference Article |
| Year |
2010 |
Publication |
12th International Conference on Frontiers in Handwriting Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
634 - 639 |
| Keywords |
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| Abstract |
Writer identification consists in determining the writer of a piece of handwriting from a set of writers. In this paper we introduce a symbol-dependent approach for identifying the writer of old music scores, which is based on two symbol recognition methods. The main idea is to use the Blurred Shape Model descriptor and a DTW-based method for detecting, recognizing and describing the music clefs and notes. The proposed approach has been evaluated in a database of old music scores, achieving very high writer identification rates. |
| Address |
Kolkata (India) |
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Place of Publication |
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Edition |
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ISBN |
978-1-4244-8353-2 |
Medium |
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| Area |
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Expedition |
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Conference |
ICFHR |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ FoL2010 |
Serial |
1321 |
| Permanent link to this record |
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| Author |
Alicia Fornes; Gemma Sanchez |
| Title |
Analysis and Recognition of Music Scores |
Type |
Book Chapter |
| Year |
2014 |
Publication |
Handbook of Document Image Processing and Recognition |
Abbreviated Journal |
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| Volume |
E |
Issue |
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Pages |
749-774 |
| Keywords |
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| Abstract |
The analysis and recognition of music scores has attracted the interest of researchers for decades. Optical Music Recognition (OMR) is a classical research field of Document Image Analysis and Recognition (DIAR), whose aim is to extract information from music scores. Music scores contain both graphical and textual information, and for this reason, techniques are closely related to graphics recognition and text recognition. Since music scores use a particular diagrammatic notation that follow the rules of music theory, many approaches make use of context information to guide the recognition and solve ambiguities. This chapter overviews the main Optical Music Recognition (OMR) approaches. Firstly, the different methods are grouped according to the OMR stages, namely, staff removal, music symbol recognition, and syntactical analysis. Secondly, specific approaches for old and handwritten music scores are reviewed. Finally, online approaches and commercial systems are also commented. |
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Thesis |
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Springer London |
Place of Publication |
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Editor |
D. Doermann; K. Tombre |
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Summary Language |
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Original Title |
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Series Title |
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Series Issue |
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Edition |
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ISBN |
978-0-85729-860-7 |
Medium |
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Expedition |
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Conference |
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| Notes |
DAG; ADAS; 600.076; 600.077 |
Approved |
no |
| Call Number |
Admin @ si @ FoS2014 |
Serial |
2484 |
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| Author |
Alicia Fornes; Beata Megyesi; Joan Mas |
| Title |
Transcription of Encoded Manuscripts with Image Processing Techniques |
Type |
Conference Article |
| Year |
2017 |
Publication |
Digital Humanities Conference |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
441-443 |
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Edition |
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Medium |
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Expedition |
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Conference |
DH |
| Notes |
DAG; 600.097; 600.121 |
Approved |
no |
| Call Number |
Admin @ si @ FMM2017 |
Serial |
3061 |
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