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Marçal Rusiñol and Josep Llados. 2010. Symbol Spotting in Digital Libraries:Focused Retrieval over Graphic-rich Document Collections. Springer.
Abstract: The specific problem of symbol recognition in graphical documents requires additional techniques to those developed for character recognition. The most well-known obstacle is the so-called Sayre paradox: Correct recognition requires good segmentation, yet improvement in segmentation is achieved using information provided by the recognition process. This dilemma can be avoided by techniques that identify sets of regions containing useful information. Such symbol-spotting methods allow the detection of symbols in maps or technical drawings without having to fully segment or fully recognize the entire content.
This unique text/reference provides a complete, integrated and large-scale solution to the challenge of designing a robust symbol-spotting method for collections of graphic-rich documents. The book examines a number of features and descriptors, from basic photometric descriptors commonly used in computer vision techniques to those specific to graphical shapes, presenting a methodology which can be used in a wide variety of applications. Additionally, readers are supplied with an insight into the problem of performance evaluation of spotting methods. Some very basic knowledge of pattern recognition, document image analysis and graphics recognition is assumed.
Keywords: Focused Retrieval , Graphical Pattern Indexation,Graphics Recognition ,Pattern Recognition , Performance Evaluation , Symbol Description ,Symbol Spotting
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Thanh Ha Do, Salvatore Tabbone and Oriol Ramos Terrades. 2013. Document noise removal using sparse representations over learned dictionary. Symposium on Document engineering.161–168.
Abstract: best paper award
In this paper, we propose an algorithm for denoising document images using sparse representations. Following a training set, this algorithm is able to learn the main document characteristics and also, the kind of noise included into the documents. In this perspective, we propose to model the noise energy based on the normalized cross-correlation between pairs of noisy and non-noisy documents. Experimental
results on several datasets demonstrate the robustness of our method compared with the state-of-the-art.
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Fernando Vilariño, Dimosthenis Karatzas and Alberto Valcarce. 2018. The Library Living Lab Barcelona: A participative approach to technology as an enabling factor for innovation in cultural spaces.
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Joana Maria Pujadas-Mora, Alicia Fornes, Josep Llados and Anna Cabre. 2016. Bridging the gap between historical demography and computing: tools for computer-assisted transcription and the analysis of demographic sources. In K.Matthijs, S.Hin, H.Matsuo and J.Kok, eds. The future of historical demography. Upside down and inside out. Acco Publishers, 127–131.
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Oriol Ramos Terrades, Salvatore Tabbone, L. Wendling and Ernest Valveny. 2004. Symbol Recognition based on a Multiresolution Analysis of the Radon Transform.
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Fernando Vilariño, Dimosthenis Karatzas, Marcos Catalan and Alberto Valcarcel. 2015. An horizon for the Public Library as a place for innovation and creativity. The Library Living Lab in Volpelleres. The White Book on Public Library Network from Diputació de Barcelona.
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Salvatore Tabbone and Josep Llados. 2007. A Propos de la Reconnaissance de Documents Graphiques: Synthese et Perspectives. Traitement et Analyse de l’Information: Methodes et Applications.247–258.
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Josep Llados and Enric Marti. 1995. Interpretacio de dibuixos lineals mitjançant tècniques d isomorfisme entre grafs. Trobada de Joves Investigadors.
Abstract: L’anàlisi de documents té com a objectiu la interpretació automàtica de documents impresos sobre paper, amb la finalitat d’obtenir una descripció simbòlica d’aquests, que permeti el seu emmagatzemament i posterior tractament computacional. Les tècniques basades en grafs relacionals d’atributs permeten representar de manera compacta la informació continguda en dibuixos lineals i mitjançant mecanismes d’isomorfisme entre grafs, reconèixer-hi certes estructures i d’aquesta manera, interpretar el document. En aquest treball es dóna una visió general de les tènciques de grafs aplicades al reconeixement visual d’objectes en problemes d’anàlisi de documents. Aquestes tècniques s’il·lustren amb un exemple de reconeixement de plànols dibuixats a mà alçada. Finalment es proposa la utilització de tècniques de Hough com a mecanisme per accelerar el procés de reconeixement aplicant un cert coneixement sobre el domini en el que es treballa
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Robert Benavente, Ernest Valveny, Jaume Garcia, Agata Lapedriza, Miquel Ferrer and Gemma Sanchez. 2008. Una experiencia de adaptacion al EEES de las asignaturas de programacion en Ingenieria Informatica.
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Agata Lapedriza, Jaume Garcia, Ernest Valveny, Robert Benavente, Miquel Ferrer and Gemma Sanchez. 2008. Una experiencia de aprenentatge basada en projectes en el ambit de la informatica.
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