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Author Thanh Nam Le; Muhammad Muzzamil Luqman; Anjan Dutta; Pierre Heroux; Christophe Rigaud; Clement Guerin; Pasquale Foggia; Jean Christophe Burie; Jean Marc Ogier; Josep Llados; Sebastien Adam edit  url
openurl 
  Title Subgraph spotting in graph representations of comic book images Type Journal Article
  Year 2018 Publication Pattern Recognition Letters Abbreviated Journal PRL  
  Volume 112 Issue Pages 118-124  
  Keywords (down) Attributed graph; Region adjacency graph; Graph matching; Graph isomorphism; Subgraph isomorphism; Subgraph spotting; Graph indexing; Graph retrieval; Query by example; Dataset and comic book images  
  Abstract Graph-based representations are the most powerful data structures for extracting, representing and preserving the structural information of underlying data. Subgraph spotting is an interesting research problem, especially for studying and investigating the structural information based content-based image retrieval (CBIR) and query by example (QBE) in image databases. In this paper we address the problem of lack of freely available ground-truthed datasets for subgraph spotting and present a new dataset for subgraph spotting in graph representations of comic book images (SSGCI) with its ground-truth and evaluation protocol. Experimental results of two state-of-the-art methods of subgraph spotting are presented on the new SSGCI dataset.  
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  Notes DAG; 600.097; 600.121 Approved no  
  Call Number Admin @ si @ LLD2018 Serial 3150  
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Author Hana Jarraya; Oriol Ramos Terrades; Josep Llados edit   pdf
url  openurl
  Title Graph Embedding through Probabilistic Graphical Model applied to Symbolic Graphs Type Conference Article
  Year 2017 Publication 8th Iberian Conference on Pattern Recognition and Image Analysis Abbreviated Journal  
  Volume Issue Pages  
  Keywords (down) Attributed Graph; Probabilistic Graphical Model; Graph Embedding; Structured Support Vector Machines  
  Abstract We propose a new Graph Embedding (GEM) method that takes advantages of structural pattern representation. It models an Attributed Graph (AG) as a Probabilistic Graphical Model (PGM). Then, it learns the parameters of this PGM presented by a vector. This vector is a signature of AG in a lower dimensional vectorial space. We apply Structured Support Vector Machines (SSVM) to process classification task. As first tentative, results on the GREC dataset are encouraging enough to go further on this direction.  
  Address Faro; Portugal; June 2017  
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  ISSN ISBN Medium  
  Area Expedition Conference IbPRIA  
  Notes DAG; 600.097; 600.121 Approved no  
  Call Number Admin @ si @ JRL2017a Serial 2953  
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Author Marçal Rusiñol; V. Poulain d'Andecy; Dimosthenis Karatzas; Josep Llados edit   pdf
doi  isbn
openurl 
  Title Classification of Administrative Document Images by Logo Identification Type Book Chapter
  Year 2014 Publication Graphics Recognition. Current Trends and Challenges Abbreviated Journal  
  Volume 8746 Issue Pages 49-58  
  Keywords (down) Administrative Document Classification; Logo Recognition; Logo Spotting  
  Abstract This paper is focused on the categorization of administrative document images (such as invoices) based on the recognition of the supplier’s graphical logo. Two different methods are proposed, the first one uses a bag-of-visual-words model whereas the second one tries to locate logo images described by the blurred shape model descriptor within documents by a sliding-window technique. Preliminar results are reported with a dataset of real administrative documents.  
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  Publisher Springer Berlin Heidelberg Place of Publication Editor Bart Lamiroy; Jean-Marc Ogier  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 978-3-662-44853-3 Medium  
  Area Expedition Conference  
  Notes DAG; 600.056; 600.045; 605.203; 600.077 Approved no  
  Call Number Admin @ si @ RPK2014 Serial 2701  
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Author T.Chauhan; E.Perales; Kaida Xiao; E.Hird ; Dimosthenis Karatzas; Sophie Wuerger edit  doi
openurl 
  Title The achromatic locus: Effect of navigation direction in color space Type Journal Article
  Year 2014 Publication Journal of Vision Abbreviated Journal VSS  
  Volume 14 (1) Issue 25 Pages 1-11  
  Keywords (down) achromatic; unique hues; color constancy; luminance; color space  
  Abstract 5Y Impact Factor: 2.99 / 1st (Ophthalmology)
An achromatic stimulus is defined as a patch of light that is devoid of any hue. This is usually achieved by asking observers to adjust the stimulus such that it looks neither red nor green and at the same time neither yellow nor blue. Despite the theoretical and practical importance of the achromatic locus, little is known about the variability in these settings. The main purpose of the current study was to evaluate whether achromatic settings were dependent on the task of the observers, namely the navigation direction in color space. Observers could either adjust the test patch along the two chromatic axes in the CIE u*v* diagram or, alternatively, navigate along the unique-hue lines. Our main result is that the navigation method affects the reliability of these achromatic settings. Observers are able to make more reliable achromatic settings when adjusting the test patch along the directions defined by the four unique hues as opposed to navigating along the main axes in the commonly used CIE u*v* chromaticity plane. This result holds across different ambient viewing conditions (Dark, Daylight, Cool White Fluorescent) and different test luminance levels (5, 20, and 50 cd/m2). The reduced variability in the achromatic settings is consistent with the idea that internal color representations are more aligned with the unique-hue lines than the u* and v* axes.
 
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  Notes DAG; 600.077 Approved no  
  Call Number Admin @ si @ CPX2014 Serial 2418  
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Author Arnau Baro; Jialuo Chen; Alicia Fornes; Beata Megyesi edit   pdf
doi  openurl
  Title Towards a generic unsupervised method for transcription of encoded manuscripts Type Conference Article
  Year 2019 Publication 3rd International Conference on Digital Access to Textual Cultural Heritage Abbreviated Journal  
  Volume Issue Pages 73-78  
  Keywords (down) A. Baró, J. Chen, A. Fornés, B. Megyesi.  
  Abstract 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.  
  Address Brussels; May 2019  
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  Area Expedition Conference DATeCH  
  Notes DAG; 600.097; 600.140; 600.121 Approved no  
  Call Number Admin @ si @ BCF2019 Serial 3276  
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Author Josep Llados; J. Lopez-Krahe; Enric Marti edit  openurl
  Title A Hough-based method for hatched pattern detection in maps and diagrams. Type Miscellaneous
  Year 1999 Publication Proceedings of the International Conference on Document Analysis and Recognition. Abbreviated Journal  
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  Address Bangalore-India  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ LlM1999b Serial 1  
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Author Josep Llados; Felipe Lumbreras; X. Varona edit  openurl
  Title A multidocument platform for automatic reading of identity cards. Type Miscellaneous
  Year 1999 Publication Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes. Abbreviated Journal  
  Volume Issue Pages  
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  Address Bilbao  
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  Notes ADAS;DAG Approved no  
  Call Number ADAS @ adas @ LLV1999 Serial 7  
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Author A. Pujol; Jordi Vitria; Petia Radeva; X. Binefa; Robert Benavente; Ernest Valveny; Craig Von Land edit  openurl
  Title Real time pharmaceutical product recognition using color and shape indexing. Type Conference Article
  Year 1999 Publication Proceedings of the 2nd International Workshop on European Scientific and Industrial Collaboration (WESIC´99), Promotoring Advanced Technologies in Manufacturing. Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address Wales  
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  Notes OR;MILAB;DAG;CIC;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ PVR1999 Serial 24  
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Author Josep Llados; Gemma Sanchez; Enric Marti edit  openurl
  Title A String-Based Method to Recognize Symbols and Structural Textures in Architectural Plans. Type Miscellaneous
  Year 1997 Publication Second IAPR Workshop on Graphics Recognition, pp. 287–294. Abbreviated Journal  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ LSM1997 Serial 44  
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Author Jordi Vitria; Petia Radeva; X. Binefa; A. Pujol; Ernest Valveny; Robert Benavente; Craig Von Land edit  openurl
  Title Real time recognition of pharmaceutical products by subspace methods Type Report
  Year 1999 Publication CVC Technical Report #35 Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address CVC (UAB)  
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  Notes OR;MILAB;DAG;CIC;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ VRB1999b Serial 54  
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