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Author Mohamed Ali Souibgui; Asma Bensalah; Jialuo Chen; Alicia Fornes; Michelle Waldispühl edit  doi
openurl 
  Title (up) A User Perspective on HTR methods for the Automatic Transcription of Rare Scripts: The Case of Codex Runicus Just Accepted Type Journal Article
  Year 2022 Publication ACM Journal on Computing and Cultural Heritage Abbreviated Journal JOCCH  
  Volume Issue Pages  
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  Abstract Recent breakthroughs in Artificial Intelligence, Deep Learning and Document Image Analysis and Recognition have significantly eased the creation of digital libraries and the transcription of historical documents. However, for documents in rare scripts with few labelled training data available, current Handwritten Text Recognition (HTR) systems are too constraint. Moreover, research on HTR often focuses on technical aspects only, and rarely puts emphasis on implementing software tools for scholars in Humanities. In this article, we describe, compare and analyse different transcription methods for rare scripts. We evaluate their performance in a real use case of a medieval manuscript written in the runic script (Codex Runicus) and discuss advantages and disadvantages of each method from the user perspective. From this exhaustive analysis and comparison with a fully manual transcription, we raise conclusions and provide recommendations to scholars interested in using automatic transcription tools.  
  Address July 2022  
  Corporate Author Thesis  
  Publisher ACM Place of Publication Editor  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes DAG; 600.121; 600.162; 602.230; 600.140 Approved no  
  Call Number Admin @ si @ Serial 3732  
Permanent link to this record
 

 
Author Jialuo Chen; M.A.Souibgui; Alicia Fornes; Beata Megyesi edit   pdf
openurl 
  Title (up) A Web-based Interactive Transcription Tool for Encrypted Manuscripts Type Conference Article
  Year 2020 Publication 3rd International Conference on Historical Cryptology Abbreviated Journal  
  Volume Issue Pages 52-59  
  Keywords  
  Abstract Manual transcription of handwritten text is a time consuming task. In the case of encrypted manuscripts, the recognition is even more complex due to the huge variety of alphabets and symbol sets. To speed up and ease this process, we present a web-based tool aimed to (semi)-automatically transcribe the encrypted sources. The user uploads one or several images of the desired encrypted document(s) as input, and the system returns the transcription(s). This process is carried out in an interactive fashion with
the user to obtain more accurate results. For discovering and testing, the developed web tool is freely available.
 
  Address Virtual; June 2020  
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  ISSN ISBN Medium  
  Area Expedition Conference HistoCrypt  
  Notes DAG; 600.140; 602.230; 600.121 Approved no  
  Call Number Admin @ si @ CSF2020 Serial 3447  
Permanent link to this record
 

 
Author Ernest Valveny; Robert Benavente; Agata Lapedriza; Miquel Ferrer; Jaume Garcia; Gemma Sanchez edit   pdf
doi  openurl
  Title (up) Adaptation of a computer programming course to the EXHE requirements: evaluation five years later Type Miscellaneous
  Year 2012 Publication European Journal of Engineering Education Abbreviated Journal  
  Volume 37 Issue 3 Pages 243-254  
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  Notes DAG; CIC; OR; invisible;MV Approved no  
  Call Number Admin @ si @ VBL2012 Serial 2070  
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Author Josep Llados edit  url
openurl 
  Title (up) Advances in Graphics Recognition Type Book Chapter
  Year 2007 Publication Digital Document Processing, Major Directions and Recent Advances, Advances in Pattern Recognition, B.B. Chaudhuri, ed., 281–304 Abbreviated Journal  
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  Address Springer London  
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  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number DAG @ dag @ Lla2007 Serial 780  
Permanent link to this record
 

 
Author J.Kuhn; A.Nussbaumer; J.Pirker; Dimosthenis Karatzas; A. Pagani; O.Conlan; M.Memmel; C.M.Steiner; C.Gutl; D.Albert; Andreas Dengel edit  url
doi  openurl
  Title (up) Advancing Physics Learning Through Traversing a Multi-Modal Experimentation Space Type Conference Article
  Year 2015 Publication Workshop Proceedings on the 11th International Conference on Intelligent Environments Abbreviated Journal  
  Volume 19 Issue Pages 373-380  
  Keywords  
  Abstract Translating conceptual knowledge into real world experiences presents a significant educational challenge. This position paper presents an approach that supports learners in moving seamlessly between conceptual learning and their application in the real world by bringing physical and virtual experiments into everyday settings. Learners are empowered in conducting these situated experiments in a variety of physical settings by leveraging state of the art mobile, augmented reality, and virtual reality technology. A blend of mobile-based multi-sensory physical experiments, augmented reality and enabling virtual environments can allow learners to bridge their conceptual learning with tangible experiences in a completely novel manner. This approach focuses on the learner by applying self-regulated personalised learning techniques, underpinned by innovative pedagogical approaches and adaptation techniques, to ensure that the needs and preferences of each learner are catered for individually.  
  Address Praga; Chzech Republic; July 2015  
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  Area Expedition Conference IE  
  Notes DAG; 600.077 Approved no  
  Call Number Admin @ si @ KNP2015 Serial 2694  
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Author Sounak Dey; Anjan Dutta; Suman Ghosh; Ernest Valveny; Josep Llados edit   pdf
openurl 
  Title (up) Aligning Salient Objects to Queries: A Multi-modal and Multi-object Image Retrieval Framework Type Conference Article
  Year 2018 Publication 14th Asian Conference on Computer Vision Abbreviated Journal  
  Volume Issue Pages  
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  Abstract In this paper we propose an approach for multi-modal image retrieval in multi-labelled images. A multi-modal deep network architecture is formulated to jointly model sketches and text as input query modalities into a common embedding space, which is then further aligned with the image feature space. Our architecture also relies on a salient object detection through a supervised LSTM-based visual attention model learned from convolutional features. Both the alignment between the queries and the image and the supervision of the attention on the images are obtained by generalizing the Hungarian Algorithm using different loss functions. This permits encoding the object-based features and its alignment with the query irrespective of the availability of the co-occurrence of different objects in the training set. We validate the performance of our approach on standard single/multi-object datasets, showing state-of-the art performance in every dataset.  
  Address Perth; Australia; December 2018  
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  Area Expedition Conference ACCV  
  Notes DAG; 600.097; 600.121; 600.129 Approved no  
  Call Number Admin @ si @ DDG2018a Serial 3151  
Permanent link to this record
 

 
Author Christophe Rigaud; Dimosthenis Karatzas; Joost Van de Weijer; Jean-Christophe Burie; Jean-Marc Ogier edit   pdf
doi  openurl
  Title (up) An active contour model for speech balloon detection in comics Type Conference Article
  Year 2013 Publication 12th International Conference on Document Analysis and Recognition Abbreviated Journal  
  Volume Issue Pages 1240-1244  
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  Abstract Comic books constitute an important cultural heritage asset in many countries. Digitization combined with subsequent comic book understanding would enable a variety of new applications, including content-based retrieval and content retargeting. Document understanding in this domain is challenging as comics are semi-structured documents, combining semantically important graphical and textual parts. Few studies have been done in this direction. In this work we detail a novel approach for closed and non-closed speech balloon localization in scanned comic book pages, an essential step towards a fully automatic comic book understanding. The approach is compared with existing methods for closed balloon localization found in the literature and results are presented.  
  Address washington; USA; August 2013  
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  Series Volume Series Issue Edition  
  ISSN 1520-5363 ISBN Medium  
  Area Expedition Conference ICDAR  
  Notes DAG; CIC; 600.056 Approved no  
  Call Number Admin @ si @ RKW2013a Serial 2260  
Permanent link to this record
 

 
Author Joan Mas; Gemma Sanchez; Josep Llados edit  openurl
  Title (up) An Adjacency Grammar to Recognize Symbols and Gestures in a Digital Pen Framework Type Book Chapter
  Year 2005 Publication Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3523: 115–122 Abbreviated Journal  
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  Address Estoril (Portugal)  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ MSL2005a Serial 558  
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Author Gemma Sanchez; Josep Llados; K. Tombre edit  openurl
  Title (up) An Algorithm to Recognize Graphical Textured Symbols using String Representations. Type Miscellaneous
  Year 2001 Publication Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, :203–208. Abbreviated Journal  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ SLT2001a Serial 163  
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Author Miquel Ferrer; Ernest Valveny; F. Serratosa; K. Riesen; Horst Bunke edit  doi
openurl 
  Title (up) An Approximate Algorith for Median Graph Computation using Graph Embedding Type Conference Article
  Year 2008 Publication 19th International Conference on Pattern Recognition. Abbreviated Journal  
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  Address Tampa, USA  
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  ISSN ISBN Medium  
  Area Expedition Conference ICPR  
  Notes DAG Approved no  
  Call Number DAG @ dag @ FVS2008a Serial 1064  
Permanent link to this record
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