| Records |
| Author |
Mathieu Nicolas Delalandre; Jean-Marc Ogier; Josep Llados |
| Title |
A Fast Cbir System of Old Ornamental Letter |
Type |
Book Chapter |
| Year |
2008 |
Publication |
Graphics Reognition: Recent Advances and New Opportunities |
Abbreviated Journal |
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| Volume |
5046 |
Issue |
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Pages |
135–144 |
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Editor |
W. Liu, J. Llados, J.M. Ogier |
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LNCS |
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Notes  |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ DOL2008 |
Serial |
987 |
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| Author |
Mathieu Nicolas Delalandre; Tony Pridmore; Ernest Valveny; Herve Locteau; Eric Trupin |
| Title |
Building Synthetic Graphical Documents for Performance Evaluation |
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 |
288–298 |
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Place of Publication |
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Editor |
W. Liu, J. Llados, J.M. Ogier |
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Original Title |
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Series Title |
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Abbreviated Series Title |
LNCS |
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| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ DPV2008 |
Serial |
988 |
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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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Place of Publication |
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Editor |
W. Liu, J. Llados, J.M. Ogier |
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Original Title |
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Series Title |
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Abbreviated Series Title |
LNCS |
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Expedition |
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| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ FLS2008a |
Serial |
990 |
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| Author |
Joan Mas; J.A. Jorge; Gemma Sanchez; Josep Llados |
| Title |
Representing and Parsing Sketched Symbols using Adjacency Grammars and a Grid-Directed Parser |
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 |
176–187 |
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| Abstract |
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Place of Publication |
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Editor |
W. Liu, J. Llados, J.M. Ogier |
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Summary Language |
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Original Title |
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Series Title |
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LNCS |
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| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ MJS2008 |
Serial |
991 |
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| Author |
Jose Antonio Rodriguez; Gemma Sanchez; Josep Llados |
| Title |
Categorization of Digital Ink Elements using Spectral Features |
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 |
188–198 |
| Keywords |
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| Abstract |
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| 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 |
W. Liu, J. Llados, J.M. Ogier |
| 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 |
LNCS |
| Series Volume |
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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 |
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| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ RSL2008 |
Serial |
1099 |
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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%. |
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Thesis |
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| Publisher |
IGI-Global |
Place of Publication |
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Editor |
Copnstantin Papaodysseus |
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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 |
Admin @ si @ FLS2012 |
Serial |
1828 |
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| Author |
Ernest Valveny; Oriol Ramos Terrades; Joan Mas; Marçal Rusiñol |
| Title |
Interactive Document Retrieval and Classification. |
Type |
Book Chapter |
| Year |
2013 |
Publication |
Multimodal Interaction in Image and Video Applications |
Abbreviated Journal |
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| Volume |
48 |
Issue |
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Pages |
17-30 |
| Keywords |
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| Abstract |
In this chapter we describe a system for document retrieval and classification following the interactive-predictive framework. In particular, the system addresses two different scenarios of document analysis: document classification based on visual appearance and logo detection. These two classical problems of document analysis are formulated following the interactive-predictive model, taking the user interaction into account to make easier the process of annotating and labelling the documents. A system implementing this model in a real scenario is presented and analyzed. This system also takes advantage of active learning techniques to speed up the task of labelling the documents. |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
Angel Sappa; Jordi Vitria |
| 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 |
1868-4394 |
ISBN |
978-3-642-35931-6 |
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 @ VRM2013 |
Serial |
2341 |
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| Author |
Muhammad Muzzamil Luqman; Jean-Yves Ramel; Josep Llados |
| Title |
Multilevel Analysis of Attributed Graphs for Explicit Graph Embedding in Vector Spaces |
Type |
Book Chapter |
| Year |
2013 |
Publication |
Graph Embedding for Pattern Analysis |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
1-26 |
| Keywords |
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| Abstract |
Ability to recognize patterns is among the most crucial capabilities of human beings for their survival, which enables them to employ their sophisticated neural and cognitive systems [1], for processing complex audio, visual, smell, touch, and taste signals. Man is the most complex and the best existing system of pattern recognition. Without any explicit thinking, we continuously compare, classify, and identify huge amount of signal data everyday [2], starting from the time we get up in the morning till the last second we fall asleep. This includes recognizing the face of a friend in a crowd, a spoken word embedded in noise, the proper key to lock the door, smell of coffee, the voice of a favorite singer, the recognition of alphabetic characters, and millions of more tasks that we perform on regular basis. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer New York |
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 |
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ISBN |
978-1-4614-4456-5 |
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 @ LRL2013b |
Serial |
2271 |
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| Author |
Joan Mas; Gemma Sanchez; Josep Llados |
| Title |
SSP: Sketching slide Presentations, a Syntactic Approach |
Type |
Book Chapter |
| Year |
2010 |
Publication |
Graphics Recognition. Achievements, Challenges, and Evolution. 8th International Workshop, GREC 2009. Selected Papers |
Abbreviated Journal |
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| Volume |
6020 |
Issue |
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Pages |
118-129 |
| Keywords |
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| Abstract |
The design of a slide presentation is a creative process. In this process first, humans visualize in their minds what they want to explain. Then, they have to be able to represent this knowledge in an understandable way. There exists a lot of commercial software that allows to create our own slide presentations but the creativity of the user is rather limited. In this article we present an application that allows the user to create and visualize a slide presentation from a sketch. A slide may be seen as a graphical document or a diagram where its elements are placed in a particular spatial arrangement. To describe and recognize slides a syntactic approach is proposed. This approach is based on an Adjacency Grammar and a parsing methodology to cope with this kind of grammars. The experimental evaluation shows the performance of our methodology from a qualitative and a quantitative point of view. Six different slides containing different number of symbols, from 4 to 7, have been given to the users and they have drawn them without restrictions in the order of the elements. The quantitative results give an idea on how suitable is our methodology to describe and recognize the different elements in a slide. |
| Address |
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| 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 |
LNCS |
| 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 |
MSL2010 |
Serial |
2405 |
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| Author |
Mathieu Nicolas Delalandre; Jean-Yves Ramel; Ernest Valveny; Muhammad Muzzamil Luqman |
| Title |
A Performance Characterization Algorithm for Symbol Localization |
Type |
Book Chapter |
| Year |
2010 |
Publication |
Graphics Recognition. Achievements, Challenges, and Evolution. 8th International Workshop, GREC 2009. Selected Papers |
Abbreviated Journal |
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| Volume |
6020 |
Issue |
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Pages |
260–271 |
| Keywords |
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| Abstract |
In this paper we present an algorithm for performance characterization of symbol localization systems. This algorithm is aimed to be a more “reliable” and “open” solution to characterize the performance. To achieve that, it exploits only single points as the result of localization and offers the possibility to reconsider the localization results provided by a system. We use the information about context in groundtruth, and overall localization results, to detect the ambiguous localization results. A probability score is computed for each matching between a localization point and a groundtruth region, depending on the spatial distribution of the other regions in the groundtruth. Final characterization is given with detection rate/probability score plots, describing the sets of possible interpretations of the localization results, according to a given confidence rate. We present experimentation details along with the results for the symbol localization system of [1], exploiting a synthetic dataset of architectural floorplans and electrical diagrams (composed of 200 images and 3861 symbols). |
| Address |
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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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Series Title |
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Abbreviated Series Title |
LNCS |
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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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Expedition |
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Conference |
GREC |
| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ DRV2010 |
Serial |
2406 |
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| Author |
Marçal Rusiñol; K. Bertet; Jean-Marc Ogier; Josep Llados |
| Title |
Symbol Recognition Using a Concept Lattice of Graphical Patterns |
Type |
Book Chapter |
| Year |
2010 |
Publication |
Graphics Recognition. Achievements, Challenges, and Evolution. 8th International Workshop, GREC 2009. Selected Papers |
Abbreviated Journal |
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| Volume |
6020 |
Issue |
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Pages |
187-198 |
| Keywords |
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| Abstract |
In this paper we propose a new approach to recognize symbols by the use of a concept lattice. We propose to build a concept lattice in terms of graphical patterns. Each model symbol is decomposed in a set of composing graphical patterns taken as primitives. Each one of these primitives is described by boundary moment invariants. The obtained concept lattice relates which symbolic patterns compose a given graphical symbol. A Hasse diagram is derived from the context and is used to recognize symbols affected by noise. We present some preliminary results over a variation of the dataset of symbols from the GREC 2005 symbol recognition contest. |
| Address |
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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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Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
LNCS |
| 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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Expedition |
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Conference |
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| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ RBO2010 |
Serial |
2407 |
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| Author |
Partha Pratim Roy; Umapada Pal; Josep Llados |
| Title |
Touching Text Character Localization in Graphical Documents using SIFT |
Type |
Book Chapter |
| Year |
2010 |
Publication |
Graphics Recognition. Achievements, Challenges, and Evolution. 8th International Workshop, GREC 2009. Selected Papers |
Abbreviated Journal |
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| Volume |
6020 |
Issue |
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Pages |
199-211 |
| Keywords |
Support Vector Machine; Text Component; Graphical Line; Document Image; Scale Invariant Feature Transform |
| Abstract |
Interpretation of graphical document images is a challenging task as it requires proper understanding of text/graphics symbols present in such documents. Difficulties arise in graphical document recognition when text and symbol overlapped/touched. Intersection of text and symbols with graphical lines and curves occur frequently in graphical documents and hence separation of such symbols is very difficult.
Several pattern recognition and classification techniques exist to recognize isolated text/symbol. But, the touching/overlapping text and symbol recognition has not yet been dealt successfully. An interesting technique, Scale Invariant Feature Transform (SIFT), originally devised for object recognition can take care of overlapping problems. Even if SIFT features have emerged as a very powerful object descriptors, their employment in graphical documents context has not been investigated much. In this paper we present the adaptation of the SIFT approach in the context of text character localization (spotting) in graphical documents. We evaluate the applicability of this technique in such documents and discuss the scope of improvement by combining some state-of-the-art approaches. |
| Address |
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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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Original Title |
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Series Title |
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Abbreviated Series Title |
LNCS |
| 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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Expedition |
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Conference |
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| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ RPL2010c |
Serial |
2408 |
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| Author |
Miquel Ferrer; I. Bardaji; Ernest Valveny; Dimosthenis Karatzas; Horst Bunke |
| Title |
Median Graph Computation by Means of Graph Embedding into Vector Spaces |
Type |
Book Chapter |
| Year |
2013 |
Publication |
Graph Embedding for Pattern Analysis |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
45-72 |
| Keywords |
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| Abstract |
In pattern recognition [8, 14], a key issue to be addressed when designing a system is how to represent input patterns. Feature vectors is a common option. That is, a set of numerical features describing relevant properties of the pattern are computed and arranged in a vector form. The main advantages of this kind of representation are computational simplicity and a well sound mathematical foundation. Thus, a large number of operations are available to work with vectors and a large repository of algorithms for pattern analysis and classification exist. However, the simple structure of feature vectors might not be the best option for complex patterns where nonnumerical features or relations between different parts of the pattern become relevant. |
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Thesis |
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Springer New York |
Place of Publication |
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Editor |
Yun Fu; Yungian Ma |
| Language |
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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 |
978-1-4614-4456-5 |
Medium |
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| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ FBV2013 |
Serial |
2421 |
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| Author |
Thanh Ha Do; Salvatore Tabbone; Oriol Ramos Terrades |
| Title |
Spotting Symbol over Graphical Documents Via Sparsity in Visual Vocabulary |
Type |
Book Chapter |
| Year |
2016 |
Publication |
Recent Trends in Image Processing and Pattern Recognition |
Abbreviated Journal |
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| Volume |
709 |
Issue |
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Pages |
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Conference |
RTIP2R |
| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ HTR2016 |
Serial |
2956 |
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| Author |
Beata Megyesi; Alicia Fornes; Nils Kopal; Benedek Lang |
| Title |
Historical Cryptology |
Type |
Book Chapter |
| Year |
2024 |
Publication |
Learning and Experiencing Cryptography with CrypTool and SageMath |
Abbreviated Journal |
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Pages |
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| Abstract |
Historical cryptology studies (original) encrypted manuscripts, often handwritten sources, produced in our history. These historical sources can be found in archives, often hidden without any indexing and therefore hard to locate. Once found they need to be digitized and turned into a machine-readable text format before they can be deciphered with computational methods. The focus of historical cryptology is not primarily the development of sophisticated algorithms for decipherment, but rather the entire process of analysis of the encrypted source from collection and digitization to transcription and decryption. The process also includes the interpretation and contextualization of the message set in its historical context. There are many challenges on the way, such as mistakes made by the scribe, errors made by the transcriber, damaged pages, handwriting styles that are difficult to interpret, historical languages from various time periods, and hidden underlying language of the message. Ciphertexts vary greatly in terms of their code system and symbol sets used with more or less distinguishable symbols. Ciphertexts can be embedded in clearly written text, or shorter or longer sequences of cleartext can be embedded in the ciphertext. The ciphers used mostly in historical times are substitutions (simple, homophonic, or polyphonic), with or without nomenclatures, encoded as digits or symbol sequences, with or without spaces. So the circumstances are different from those in modern cryptography which focuses on methods (algorithms) and their strengths and assumes that the algorithm is applied correctly. For both historical and modern cryptology, attack vectors outside the algorithm are applied like implementation flaws and side-channel attacks. In this chapter, we give an introduction to the field of historical cryptology and present an overview of how researchers today process historical encrypted sources. |
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DAG |
Approved |
no |
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Admin @ si @ MFK2024 |
Serial |
4020 |
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