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Author David Masip; Jordi Vitria
Title (up) An Experimental Comparision of Dimensionality Reduction for Face Verification Methods Type Miscellaneous
Year 2003 Publication In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science 2652,:530–537 Abbreviated Journal
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Address Springer-Verlag
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Notes OR;MV Approved no
Call Number BCNPCL @ bcnpcl @ MaV2003a Serial 386
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Author David Guillamet; Jordi Vitria
Title (up) An Experimental Evaluation of K-nn for Linear Transforms of Positive Data Type Book Chapter
Year 2003 Publication In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science. 2652:317–325 Abbreviated Journal
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Address Springer-Verlag
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Notes OR;MV Approved no
Call Number BCNPCL @ bcnpcl @ GuV2003a Serial 379
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Author Fernando Vilariño; Dimosthenis Karatzas; Marcos Catalan; Alberto Valcarcel
Title (up) An horizon for the Public Library as a place for innovation and creativity. The Library Living Lab in Volpelleres Type Book Chapter
Year 2015 Publication The White Book on Public Library Network from Diputació de Barcelona Abbreviated Journal
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Notes MV; DAG;SIAI Approved no
Call Number Admin @ si @VKC2015 Serial 2798
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Author A. Martinez; J.R. Serra; Jordi Vitria; J.B. Subirana
Title (up) An Iconic Representation for Image Retrieval Type Report
Year 1997 Publication CVC Technical Report #19 Abbreviated Journal
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Address CVC (UAB)
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Notes OR;MV Approved no
Call Number BCNPCL @ bcnpcl @ MSV1997 Serial 531
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Author Carles Sanchez;F. Javier Sanchez; Antoni Rosell; Debora Gil
Title (up) An illumination model of the trachea appearance in videobronchoscopy images Type Book Chapter
Year 2012 Publication Image Analysis and Recognition Abbreviated Journal LNCS
Volume 7325 Issue Pages 313-320
Keywords Bronchoscopy, tracheal ring, stenosis assesment, trachea appearance model, segmentation
Abstract Videobronchoscopy is a medical imaging technique that allows interactive navigation inside the respiratory pathways. This imaging modality provides realistic images and allows non-invasive minimal intervention procedures. Tracheal procedures are routinary interventions that require assessment of the percentage of obstructed pathway for injury (stenosis) detection. Visual assessment in videobronchoscopic sequences requires high expertise of trachea anatomy and is prone to human error.
This paper introduces an automatic method for the estimation of steneosed trachea percentage reduction in videobronchoscopic images. We look for tracheal rings , whose deformation determines the degree of obstruction. For ring extraction , we present a ring detector based on an illumination and appearance model. This model allows us to parametrise the ring detection. Finally, we can infer optimal estimation parameters for any video resolution.
Address Aveiro, Portugal
Corporate Author Thesis
Publisher Springer Berlin Heidelberg Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Lecture Notes in Computer Science Abbreviated Series Title LNCS
Series Volume Series Issue Edition
ISSN 0302-9743 ISBN 978-3-642-31297-7 Medium
Area 800 Expedition Conference ICIAR
Notes MV;IAM Approved no
Call Number IAM @ iam @ SSR2012 Serial 1898
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Author Petia Radeva; Enric Marti
Title (up) An improved model of snakes for model-based segmentation Type Conference Article
Year 1995 Publication Proceedings of Computer Analysis of Images and Patterns Abbreviated Journal
Volume Issue Pages 515-520
Keywords
Abstract The main advantage of segmentation by snakes consists in its ability to incorporate smoothness constraints on the detected shapes that can occur. Likewise, we propose to model snakes with other properties that reflect the information provided about the object of interest in a different extent. We consider different kinds of snakes, those searching for contours with a certain direction, those preserving an object’s model, those seeking for symmetry, those expanding open, etc. The availability of such a collection of snakes allows not only the more complete use of the knowledge about the segmented object, but also to solve some problems of the existing snakes. Our experiments on segmentation of facial features justify the usefulness of snakes with different properties.
Address
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Area Expedition Conference CAIP
Notes MILAB;IAM Approved no
Call Number IAM @ iam @ RaM1995b Serial 1632
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Author Oriol Pujol; Sergio Escalera; Petia Radeva
Title (up) An Incremental Node Embedding Technique for Error Correcting Output Codes Type Journal
Year 2008 Publication Pattern Recognition Abbreviated Journal PR
Volume 41 Issue 2 Pages 713–725
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Notes MILAB;HuPBA Approved no
Call Number BCNPCL @ bcnpcl @ PER2008 Serial 942
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Author Joan Mas; Gemma Sanchez; Josep Llados; B. Lamiroy
Title (up) 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)
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Area Expedition Conference ICDAR
Notes DAG Approved no
Call Number DAG @ dag @ MSL2007a Serial 847
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Author Joan Mas; Gemma Sanchez; Josep Llados
Title (up) An Incremental Parser to Recognize Diagram Symbols and Gestures represented by Adjacency Grammars Type Miscellaneous
Year 2005 Publication Sixth IAPR International Workshop on Graphics Recognition (GREC 2005), 229–237 Abbreviated Journal
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Address Hong Kong (China)
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Notes DAG Approved no
Call Number DAG @ dag @ MSL2005b Serial 611
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Author Joan Mas; Gemma Sanchez; Josep Llados
Title (up) An Incremental Parser to Recognize Diagram Symbols and Gestures represented by Adjacency Grammars Type Book Whole
Year 2006 Publication Graphics Recognition: Ten Years Review and Future Perspectives, W. Liu, J. Llados (Eds.), LNCS 3926: 252–263 Abbreviated Journal
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Notes DAG Approved no
Call Number DAG @ dag @ MSL2006a Serial 711
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Author David Roche; Debora Gil; Jesus Giraldo
Title (up) An inference model for analyzing termination conditions of Evolutionary Algorithms Type Conference Article
Year 2011 Publication 14th Congrès Català en Intel·ligencia Artificial Abbreviated Journal
Volume Issue Pages 216-225
Keywords Evolutionary Computation Convergence, Termination Conditions, Statistical Inference
Abstract In real-world problems, it is mandatory to design a termination condition for Evolutionary Algorithms (EAs) ensuring stabilization close to the unknown optimum. Distribution-based quantities are good candidates as far as suitable parameters are used. A main limitation for application to real-world problems is that such parameters strongly depend on the topology of the objective function, as well as, the EA paradigm used.
We claim that the termination problem would be fully solved if we had a model measuring to what extent a distribution-based quantity asymptotically behaves like the solution accuracy. We present a regression-prediction model that relates any two given quantities and reports if they can be statistically swapped as termination conditions. Our framework is applied to two issues. First, exploring if the parameters involved in the computation of distribution-based quantities influence their asymptotic behavior. Second, to what extent existing distribution-based quantities can be asymptotically exchanged for the accuracy of the EA solution.
Address Lleida, Catalonia (Spain)
Corporate Author Associació Catalana Intel·ligència Artificial 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 978-1-60750-841-0 Medium
Area Expedition Conference CCIA
Notes IAM Approved no
Call Number IAM @ iam @ RGG2011a Serial 1677
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Author Santiago Segui; Michal Drozdzal; Petia Radeva; Jordi Vitria
Title (up) An Integrated Approach to Contextual Face Detection Type Conference Article
Year 2012 Publication 1st International Conference on Pattern Recognition Applications and Methods Abbreviated Journal
Volume Issue Pages 143-150
Keywords
Abstract Face detection is, in general, based on content-based detectors. Nevertheless, the face is a non-rigid object with well defined relations with respect to the human body parts. In this paper, we propose to take benefit of the context information in order to improve content-based face detections. We propose a novel framework for integrating multiple content- and context-based detectors in a discriminative way. Moreover, we develop an integrated scoring procedure that measures the ’faceness’ of each hypothesis and is used to discriminate the detection results. Our approach detects a higher rate of faces while minimizing the number of false detections, giving an average increase of more than 10% in average precision when comparing it to state-of-the art face detectors
Address Vilamoura, Algarve, Portugal
Corporate Author Thesis
Publisher Springer 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 ICPRAM
Notes MILAB; OR;MV Approved no
Call Number Admin @ si @ SDR2012 Serial 1895
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Author Guillermo Torres; Sonia Baeza; Carles Sanchez; Ignasi Guasch; Antoni Rosell; Debora Gil
Title (up) An Intelligent Radiomic Approach for Lung Cancer Screening Type Journal Article
Year 2022 Publication Applied Sciences Abbreviated Journal APPLSCI
Volume 12 Issue 3 Pages 1568
Keywords Lung cancer; Early diagnosis; Screening; Neural networks; Image embedding; Architecture optimization
Abstract The efficiency of lung cancer screening for reducing mortality is hindered by the high rate of false positives. Artificial intelligence applied to radiomics could help to early discard benign cases from the analysis of CT scans. The available amount of data and the fact that benign cases are a minority, constitutes a main challenge for the successful use of state of the art methods (like deep learning), which can be biased, over-fitted and lack of clinical reproducibility. We present an hybrid approach combining the potential of radiomic features to characterize nodules in CT scans and the generalization of the feed forward networks. In order to obtain maximal reproducibility with minimal training data, we propose an embedding of nodules based on the statistical significance of radiomic features for malignancy detection. This representation space of lesions is the input to a feed
forward network, which architecture and hyperparameters are optimized using own-defined metrics of the diagnostic power of the whole system. Results of the best model on an independent set of patients achieve 100% of sensitivity and 83% of specificity (AUC = 0.94) for malignancy detection.
Address Jan 2022
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Notes IAM; 600.139; 600.145 Approved no
Call Number Admin @ si @ TBS2022 Serial 3699
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Author Hongxing Gao; Marçal Rusiñol; Dimosthenis Karatzas; Apostolos Antonacopoulos; Josep Llados
Title (up) An interactive appearance-based document retrieval system for historical newspapers Type Conference Article
Year 2013 Publication Proceedings of the International Conference on Computer Vision Theory and Applications Abbreviated Journal
Volume Issue Pages 84-87
Keywords
Abstract In this paper we present a retrieval-based application aimed at assisting a user to semi-automatically segment an incoming flow of historical newspaper images by automatically detecting a particular type of pages based on their appearance. A visual descriptor is used to assess page similarity while a relevance feedback process allow refining the results iteratively. The application is tested on a large dataset of digitised historic newspapers.
Address Barcelona; February 2013
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Area Expedition Conference VISAPP
Notes DAG; 600.056; 600.045; 605.203 Approved no
Call Number Admin @ si @ GRK2013a Serial 2290
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Author Joan Mas; Alicia Fornes; Josep Llados
Title (up) An Interactive Transcription System of Census Records using Word-Spotting based Information Transfer Type Conference Article
Year 2016 Publication 12th IAPR Workshop on Document Analysis Systems Abbreviated Journal
Volume Issue Pages 54-59
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Abstract This paper presents a system to assist in the transcription of historical handwritten census records in a crowdsourcing platform. Census records have a tabular structured layout. They consist in a sequence of rows with information of homes ordered by street address. For each household snippet in the page, the list of family members is reported. The censuses are recorded in intervals of a few years and the information of individuals in each household is quite stable from a point in time to the next one. This redundancy is used to assist the transcriber, so the redundant information is transferred from the census already transcribed to the next one. Household records are aligned from one year to the next one using the knowledge of the ordering by street address. Given an already transcribed census, a query by string word spotting is applied. Thus, names from the census in time t are used as queries in the corresponding home record in time t+1. Since the search is constrained, the obtained precision-recall values are very high, with an important reduction in the transcription time. The proposed system has been tested in a real citizen-science experience where non expert users transcribe the census data of their home town.
Address Santorini; Greece; April 2016
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Area Expedition Conference DAS
Notes DAG; 603.053; 602.006; 600.061; 600.077; 600.097 Approved no
Call Number Admin @ si @ MFL2016 Serial 2751
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