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Author Marçal Rusiñol; K. Bertet; Jean-Marc Ogier; Josep Llados edit  openurl
  Title Symbol Recognition Using a Concept Lattice of Graphical Patterns Type Conference Article
  Year 2009 Publication 8th IAPR International Workshop on Graphics Recognition Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  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 La Rochelle; July 2009  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference GREC  
  Notes DAG Approved no  
  Call Number (down) DAG @ dag @ RBO2009 Serial 1444  
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Author Marçal Rusiñol; Agnes Borras; Josep Llados edit  doi
openurl 
  Title Relational Indexing of Vectorial Primitives for Symbol Spotting in Line-Drawing Images Type Journal Article
  Year 2010 Publication Pattern Recognition Letters Abbreviated Journal PRL  
  Volume 31 Issue 3 Pages 188–201  
  Keywords Document image analysis and recognition, Graphics recognition, Symbol spotting ,Vectorial representations, Line-drawings  
  Abstract This paper presents a symbol spotting approach for indexing by content a database of line-drawing images. As line-drawings are digital-born documents designed by vectorial softwares, instead of using a pixel-based approach, we present a spotting method based on vector primitives. Graphical symbols are represented by a set of vectorial primitives which are described by an off-the-shelf shape descriptor. A relational indexing strategy aims to retrieve symbol locations into the target documents by using a combined numerical-relational description of 2D structures. The zones which are likely to contain the queried symbol are validated by a Hough-like voting scheme. In addition, a performance evaluation framework for symbol spotting in graphical documents is proposed. The presented methodology has been evaluated with a benchmarking set of architectural documents achieving good performance results.  
  Address  
  Corporate Author Thesis  
  Publisher Elsevier Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number (down) DAG @ dag @ RBL2010 Serial 1177  
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Author Oriol Ramos Terrades; Ernest Valveny edit  doi
openurl 
  Title A new use of the ridgelets transform for describing linear singularities in images Type Journal Article
  Year 2006 Publication Pattern Recognition Letters Abbreviated Journal PRL  
  Volume 27 Issue 6 Pages 587–596  
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  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number (down) DAG @ dag @ RaV2006a Serial 635  
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Author Oriol Ramos Terrades; Ernest Valveny edit  openurl
  Title Local Norm Features based on ridgelets Transform Type Miscellaneous
  Year 2005 Publication 8th International Conference on Document Analysis and Recognition (ICDAR´05), 700–704 Abbreviated Journal  
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  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number (down) DAG @ dag @ RaV2005d Serial 642  
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Author Oriol Ramos Terrades; Ernest Valveny edit  openurl
  Title Radon Transform for Lineal Symbol Representation Type Miscellaneous
  Year 2003 Publication Proceedings of the Seventh International Conference on Document Analysis and Recognition (ICDAR´03), 195–199 Abbreviated Journal  
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  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number (down) DAG @ dag @ RaV2003d Serial 406  
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Author Oriol Ramos Terrades; Ernest Valveny edit  openurl
  Title Indexing Technical Symbols Using Ridgelets Transform Type Miscellaneous
  Year 2003 Publication Proceedings of the Fifth International Workshop on Graphics Recognition (GREC´03), 202–211 Abbreviated Journal  
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  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number (down) DAG @ dag @ RaV2003c Serial 405  
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Author Oriol Ramos Terrades; Ernest Valveny edit  openurl
  Title Line Detection Using Ridgelets Transform for Graphic Symbol Representation Type Miscellaneous
  Year 2003 Publication In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science 2652:829–837 Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address Springer-Verlag  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number (down) DAG @ dag @ RaV2003a Serial 403  
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Author Oriol Ramos Terrades edit  openurl
  Title Linear Combination of Multiresolution Descriptors: Application to Graphics Recognition Type Book Whole
  Year 2006 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC & Universite Nancy 2 Abbreviated Journal  
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  Abstract  
  Address  
  Corporate Author Thesis Ph.D. thesis  
  Publisher Place of Publication Editor Salvatore Antoine Tabbone;Ernest Valveny  
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  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number (down) DAG @ dag @ Ram2006 Serial 713  
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Author Oriol Ramos Terrades edit  openurl
  Title Descripcio i classificacio de simbols tecnics usant la transformada de crestetes Type Report
  Year 2003 Publication CVC Technical Report #74 Abbreviated Journal  
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  Abstract  
  Address CVC (UAB)  
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  Notes DAG Approved no  
  Call Number (down) DAG @ dag @ Ram2003 Serial 517  
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Author Umapada Pal; Partha Pratim Roy; N. Tripathya; Josep Llados edit  url
doi  openurl
  Title Multi-oriented Bangla and Devnagari text recognition Type Journal Article
  Year 2010 Publication Pattern Recognition Abbreviated Journal PR  
  Volume 43 Issue 12 Pages 4124–4136  
  Keywords  
  Abstract There are printed complex documents where text lines of a single page may have different orientations or the text lines may be curved in shape. As a result, it is difficult to detect the skew of such documents and hence character segmentation and recognition of such documents are a complex task. In this paper, using background and foreground information we propose a novel scheme towards the recognition of Indian complex documents of Bangla and Devnagari script. In Bangla and Devnagari documents usually characters in a word touch and they form cavity regions. To take care of these cavity regions, background information of such documents is used. Convex hull and water reservoir principle have been applied for this purpose. Here, at first, the characters are segmented from the documents using the background information of the text. Next, individual characters are recognized using rotation invariant features obtained from the foreground part of the characters.

For character segmentation, at first, writing mode of a touching component (word) is detected using water reservoir principle based features. Next, depending on writing mode and the reservoir base-region of the touching component, a set of candidate envelope points is then selected from the contour points of the component. Based on these candidate points, the touching component is finally segmented into individual characters. For recognition of multi-sized/multi-oriented characters the features are computed from different angular information obtained from the external and internal contour pixels of the characters. These angular information are computed in such a way that they do not depend on the size and rotation of the characters. Circular and convex hull rings have been used to divide a character into smaller zones to get zone-wise features for higher recognition results. We combine circular and convex hull features to improve the results and these features are fed to support vector machines (SVM) for recognition. From our experiment we obtained recognition results of 99.18% (98.86%) accuracy when tested on 7515 (7874) Devnagari (Bangla) characters.
 
  Address  
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  Publisher Elsevier Place of Publication Editor  
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  Notes DAG Approved no  
  Call Number (down) DAG @ dag @ PRT2010 Serial 1337  
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Author Marco Pedersoli; Jordi Gonzalez; Andrew Bagdanov; Juan J. Villanueva edit  doi
isbn  openurl
  Title Recursive Coarse-to-Fine Localization for fast Object Recognition Type Conference Article
  Year 2010 Publication 11th European Conference on Computer Vision Abbreviated Journal  
  Volume 6313 Issue II Pages 280–293  
  Keywords  
  Abstract Cascading techniques are commonly used to speed-up the scan of an image for object detection. However, cascades of detectors are slow to train due to the high number of detectors and corresponding thresholds to learn. Furthermore, they do not use any prior knowledge about the scene structure to decide where to focus the search. To handle these problems, we propose a new way to scan an image, where we couple a recursive coarse-to-fine refinement together with spatial constraints of the object location. For doing that we split an image into a set of uniformly distributed neighborhood regions, and for each of these we apply a local greedy search over feature resolutions. The neighborhood is defined as a scanning region that only one object can occupy. Therefore the best hypothesis is obtained as the location with maximum score and no thresholds are needed. We present an implementation of our method using a pyramid of HOG features and we evaluate it on two standard databases, VOC2007 and INRIA dataset. Results show that the Recursive Coarse-to-Fine Localization (RCFL) achieves a 12x speed-up compared to standard sliding windows. Compared with a cascade of multiple resolutions approach our method has slightly better performance in speed and Average-Precision. Furthermore, in contrast to cascading approach, the speed-up is independent of image conditions, the number of detected objects and clutter.  
  Address Crete (Greece)  
  Corporate Author Thesis  
  Publisher Springer Berlin Heidelberg Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 978-3-642-15566-6 Medium  
  Area Expedition Conference ECCV  
  Notes ISE Approved no  
  Call Number (down) DAG @ dag @ PGB2010 Serial 1438  
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Author X. Orriols; Andrew Willis; X. Binefa; David B. Cooper edit  openurl
  Title Bayesian estimation of axial symmetries from partial data, a generative model approach Type Report
  Year 2000 Publication CVC Technical Report #49 Abbreviated Journal  
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  Address CVC (UAB)  
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  Notes Approved no  
  Call Number (down) DAG @ dag @ OWB2000 Serial 536  
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Author Farshad Nourbakhsh; Dimosthenis Karatzas; Ernest Valveny edit  doi
isbn  openurl
  Title A polar-based logo representation based on topological and colour features Type Conference Article
  Year 2010 Publication 9th IAPR International Workshop on Document Analysis Systems Abbreviated Journal  
  Volume Issue Pages 341–348  
  Keywords  
  Abstract In this paper, we propose a novel rotation and scale invariant method for colour logo retrieval and classification, which involves performing a simple colour segmentation and subsequently describing each of the resultant colour components based on a set of topological and colour features. A polar representation is used to represent the logo and the subsequent logo matching is based on Cyclic Dynamic Time Warping (CDTW). We also show how combining information about the global distribution of the logo components and their local neighbourhood using the Delaunay triangulation allows to improve the results. All experiments are performed on a dataset of 2500 instances of 100 colour logo images in different rotations and scales.  
  Address Boston; USA;  
  Corporate Author Thesis  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-1-60558-773-8 Medium  
  Area Expedition Conference DAS  
  Notes DAG Approved no  
  Call Number (down) DAG @ dag @ NKV2010 Serial 1436  
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Author Joan Mas; Gemma Sanchez; Josep Llados edit  openurl
  Title SSP: Sketching slide Presentations, a Syntactic Approach Type Conference Article
  Year 2009 Publication 8th IAPR International Workshop on Graphics Recognition Abbreviated Journal  
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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 La Rochelle; France; July 2009  
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  ISSN ISBN Medium  
  Area Expedition Conference GREC  
  Notes DAG Approved no  
  Call Number (down) DAG @ dag @ MSL2009a Serial 1441  
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Author Joan Mas; Gemma Sanchez; Josep Llados; B. Lamiroy edit  openurl
  Title An Incremental On-line Parsing Algorithm for Recognizing Sketching Diagrams Type Conference Article
  Year 2007 Publication 9th IEEE International Conference on Document Analysis and Recognition Abbreviated Journal  
  Volume 1 Issue Pages 452–456  
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  Address Curitiba (Brazil)  
  Corporate Author Thesis  
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  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ICDAR  
  Notes DAG Approved no  
  Call Number (down) DAG @ dag @ MSL2007a Serial 847  
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