| Records |
| Author |
Oriol Vicente; Alicia Fornes; Ramon Valdes |
| Title |
The Digital Humanities Network of the UABCie: a smart structure of research and social transference for the digital humanities |
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Conference Article |
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2016 |
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Digital Humanities Centres: Experiences and Perspectives |
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Warsaw; Poland; December 2016 |
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DHLABS |
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DAG; 600.097 |
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Admin @ si @ VFV2016 |
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2908 |
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| Author |
Alicia Fornes; Beata Megyesi; Joan Mas |
| Title |
Transcription of Encoded Manuscripts with Image Processing Techniques |
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Conference Article |
| Year |
2017 |
Publication |
Digital Humanities Conference |
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441-443 |
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DH |
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DAG; 600.097; 600.121 |
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no |
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Admin @ si @ FMM2017 |
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3061 |
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| Author |
Petia Radeva |
| Title |
Uncertainty Modeling within an End-to-end Framework for Food Image Analysis |
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Conference Article |
| Year |
2020 |
Publication |
1st DELTA |
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DELTA |
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MILAB |
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no |
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Admin @ si @ Rad2020 |
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3527 |
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| Author |
Jaime Moreno; Xavier Otazu |
| Title |
Image coder based on Hilbert scanning of embedded quadTrees |
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Conference Article |
| Year |
2011 |
Publication |
Data Compression Conference |
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470-470 |
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In this work we present an effective and computationally simple algorithm for image compression based on Hilbert Scanning of Embedded quadTrees (Hi-SET). It allows to represent an image as an embedded bitstream along a fractal function. Embedding is an important feature of modern image compression algorithms, in this way Salomon in [1, pg. 614] cite that another feature and perhaps a unique one is the fact of achieving the best quality for the number of bits input by the decoder at any point during the decoding. Hi-SET possesses also this latter feature. Furthermore, the coder is based on a quadtree partition strategy, that applied to image transformation structures such as discrete cosine or wavelet transform allows to obtain an energy clustering both in frequency and space. The coding algorithm is composed of three general steps, using just a list of significant pixels. |
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DCC |
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CIC |
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no |
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Admin @ si @ MoO2011b |
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2177 |
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| 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 |
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Pages |
103-108 |
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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 |
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978-1-4503-2588-2 |
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DATeCH |
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DAG; 600.061; 602.006; 600.077 |
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no |
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Admin @ si @ FLM2014 |
Serial |
2516 |
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| Author |
Arnau Baro; Jialuo Chen; Alicia Fornes; Beata Megyesi |
| Title |
Towards a generic unsupervised method for transcription of encoded manuscripts |
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Conference Article |
| Year |
2019 |
Publication |
3rd International Conference on Digital Access to Textual Cultural Heritage |
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73-78 |
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A. Baró, J. Chen, A. Fornés, B. Megyesi. |
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Historical ciphers, a special type of manuscripts, contain encrypted information, important for the interpretation of our history. The first step towards decipherment is to transcribe the images, either manually or by automatic image processing techniques. Despite the improvements in handwritten text recognition (HTR) thanks to deep learning methodologies, the need of labelled data to train is an important limitation. Given that ciphers often use symbol sets across various alphabets and unique symbols without any transcription scheme available, these supervised HTR techniques are not suitable to transcribe ciphers. In this paper we propose an un-supervised method for transcribing encrypted manuscripts based on clustering and label propagation, which has been successfully applied to community detection in networks. We analyze the performance on ciphers with various symbol sets, and discuss the advantages and drawbacks compared to supervised HTR methods. |
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Brussels; May 2019 |
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DATeCH |
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DAG; 600.097; 600.140; 600.121 |
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no |
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Admin @ si @ BCF2019 |
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3276 |
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| Author |
Partha Pratim Roy; Umapada Pal; Josep Llados |
| Title |
Multi-oriented English Text Line Extraction using Background and Foreground Information |
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Conference Article |
| Year |
2008 |
Publication |
Proceedings of the 8th IAPR International Workshop on Document Analysis Systems, |
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315–322 |
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Nara (Japo) |
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DAG |
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no |
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DAG @ dag @ RPL2008b |
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1047 |
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| Author |
Marçal Rusiñol; Josep Llados |
| Title |
Word and Symbol Spotting using Spatial Organization of Local Descriptors |
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Conference Article |
| Year |
2008 |
Publication |
Proceedings of the 8th IAPR International Workshop on Document Analysis Systems, |
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489–496 |
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Nara (Japan) |
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DAG |
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no |
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DAG @ dag @ RuL2008b |
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1059 |
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| Author |
Mathieu Nicolas Delalandre; Ernest Valveny; Josep Llados |
| Title |
Performance Evaluation of Symbol Recognition and Spotting Systems |
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Conference Article |
| Year |
2008 |
Publication |
Proceedings of the 8th International Workshop on Document Analysis Systems, |
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497–505 |
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Nara (Japan) |
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DAG |
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no |
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DAG @ dag @ DVL2008b |
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1060 |
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| Author |
Joan Mas; Jose Antonio Rodriguez; Dimosthenis Karatzas; Gemma Sanchez; Josep Llados |
| Title |
HistoSketch: A Semi-Automatic Annotation Tool for Archival Documents |
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Conference Article |
| Year |
2008 |
Publication |
Proceedings of the 8th International Workshop on Document Analysis Systems, |
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517–524 |
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Nara (Japan) |
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DAG |
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no |
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DAG @ dag @ MRK2008a |
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1061 |
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| Author |
Dimosthenis Karatzas |
| Title |
Detecting Gradients in Text Images Using the Hough Transform |
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Conference Article |
| Year |
2008 |
Publication |
Proceedings of the 8th International Workshop on Document Analysis Systems, |
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245–252 |
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Nara (Japan) |
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DAG |
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no |
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DAG @ dag @ Kar2008 |
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1062 |
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| Author |
Alicia Fornes; Josep Llados; Gemma Sanchez; Horst Bunke |
| Title |
Writer Identification in Old Handwritten Music Scores |
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Conference Article |
| Year |
2008 |
Publication |
Proceedings of the 8th International Workshop on Document Analysis Systems, |
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347–353 |
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Nara (Japan) |
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DAG |
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no |
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DAG @ dag @ FLS2008b |
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1078 |
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| Author |
Albert Gordo; Alicia Fornes; Ernest Valveny; Josep Llados |
| Title |
A Bag of Notes Approach to Writer Identification in Old Handwritten Music Scores |
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Conference Article |
| Year |
2010 |
Publication |
9th IAPR International Workshop on Document Analysis Systems |
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247–254 |
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Determining the authorship of a document, namely writer identification, can be an important source of information for document categorization. Contrary to text documents, the identification of the writer of graphical documents is still a challenge. In this paper we present a robust approach for writer identification in a particular kind of graphical documents, old music scores. This approach adapts the bag of visual terms method for coping with graphic documents. The identification is performed only using the graphical music notation. For this purpose, we generate a graphic vocabulary without recognizing any music symbols, and consequently, avoiding the difficulties in the recognition of hand-drawn symbols in old and degraded documents. The proposed method has been tested on a database of old music scores from the 17th to 19th centuries, achieving very high identification rates. |
| Address |
Boston; USA; |
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978-1-60558-773-8 |
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DAG |
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DAG @ dag @ GFV2010 |
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1320 |
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| Author |
Albert Gordo; Jaume Gibert; Ernest Valveny; Marçal Rusiñol |
| Title |
A Kernel-based Approach to Document Retrieval |
Type |
Conference Article |
| Year |
2010 |
Publication |
9th IAPR International Workshop on Document Analysis Systems |
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377–384 |
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In this paper we tackle the problem of document image retrieval by combining a similarity measure between documents and the probability that a given document belongs to a certain class. The membership probability to a specific class is computed using Support Vector Machines in conjunction with similarity measure based kernel applied to structural document representations. In the presented experiments, we use different document representations, both visual and structural, and we apply them to a database of historical documents. We show how our method based on similarity kernels outperforms the usual distance-based retrieval. |
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Boston; USA; |
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978-1-60558-773-8 |
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DAG |
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DAG @ dag @ GGV2010 |
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1431 |
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| Author |
Antonio Clavelli; Dimosthenis Karatzas; Josep Llados |
| Title |
A framework for the assessment of text extraction algorithms on complex colour images |
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Conference Article |
| Year |
2010 |
Publication |
9th IAPR International Workshop on Document Analysis Systems |
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19–26 |
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The availability of open, ground-truthed datasets and clear performance metrics is a crucial factor in the development of an application domain. The domain of colour text image analysis (real scenes, Web and spam images, scanned colour documents) has traditionally suffered from a lack of a comprehensive performance evaluation framework. Such a framework is extremely difficult to specify, and corresponding pixel-level accurate information tedious to define. In this paper we discuss the challenges and technical issues associated with developing such a framework. Then, we describe a complete framework for the evaluation of text extraction methods at multiple levels, provide a detailed ground-truth specification and present a case study on how this framework can be used in a real-life situation. |
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Boston; USA; |
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978-1-60558-773-8 |
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DAG |
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DAG @ dag @ CKL2010 |
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1432 |
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