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Author | Mathieu Nicolas Delalandre; Jean-Marc Ogier; Josep Llados | ||||
Title | A Fast Cbir System of Old Ornamental Letter | Type | Book Chapter | ||
Year | 2008 | Publication | Graphics Reognition: Recent Advances and New Opportunities | Abbreviated Journal | |
Volume | 5046 | Issue | Pages | 135–144 | |
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Publisher | Place of Publication | Editor | W. Liu, J. Llados, J.M. Ogier | ||
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Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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Area | Expedition | Conference | |||
Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ DOL2008 | Serial | 987 | ||
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Author | Mathieu Nicolas Delalandre; Tony Pridmore; Ernest Valveny; Herve Locteau; Eric Trupin | ||||
Title | Building Synthetic Graphical Documents for Performance Evaluation | Type | Book Chapter | ||
Year | 2008 | Publication | Graphics Recognition: Recent Advances and New Opportunities | Abbreviated Journal | |
Volume | 5046 | Issue | Pages | 288–298 | |
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Publisher | Place of Publication | Editor | W. Liu, J. Llados, J.M. Ogier | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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Area | Expedition | Conference | |||
Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ DPV2008 | Serial | 988 | ||
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Author | Alicia Fornes; Sergio Escalera; Josep Llados; Gemma Sanchez; Joan Mas | ||||
Title | Hand Drawn Symbol Recognition by Blurred Shape Model Descriptor and a Multiclass Classifier | Type | Book Chapter | ||
Year | 2008 | Publication | Graphics Recognition: Recent Advances and New Opportunities | Abbreviated Journal | |
Volume | 5046 | Issue | Pages | 30–40 | |
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Publisher | Place of Publication | Editor | W. Liu, J. Llados, J.M. Ogier | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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Area | Expedition | Conference | |||
Notes | DAG; HUPBA; MILAB | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ FEL2008 | Serial | 989 | ||
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Author | Alicia Fornes; Josep Llados; Gemma Sanchez | ||||
Title | Old Handwritten Musical Symbol Classification by a Dynamic TimeWrapping Based Method | Type | Book Chapter | ||
Year | 2008 | Publication | Graphics Recognition: Recent Advances and New Opportunities | Abbreviated Journal | |
Volume | 5046 | Issue | Pages | 52–60 | |
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Publisher | Place of Publication | Editor | W. Liu, J. Llados, J.M. Ogier | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ FLS2008a | Serial | 990 | ||
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Author | Joan Mas; J.A. Jorge; Gemma Sanchez; Josep Llados | ||||
Title | Representing and Parsing Sketched Symbols using Adjacency Grammars and a Grid-Directed Parser | Type | Book Chapter | ||
Year | 2008 | Publication | Graphics Recognition: Recent Advances and New Opportunities, | Abbreviated Journal | |
Volume | 5046 | Issue | Pages | 176–187 | |
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Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | W. Liu, J. Llados, J.M. Ogier | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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Area | Expedition | Conference | |||
Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ MJS2008 | Serial | 991 | ||
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Author | Jose Antonio Rodriguez; Florent Perronnin | ||||
Title | Local Gradient Histogram Features for Word Spotting in Unconstrained Handwritten Documents | Type | Book Chapter | ||
Year | 2008 | Publication | Graphics Recognition: Recent Advances and New Opportunities | Abbreviated Journal | |
Volume | 5046 | Issue | Pages | 188–198 | |
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Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | W. Liu, J. Llados, J.M. Ogier | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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Area | Expedition | Conference | |||
Notes | Approved | no | |||
Call Number | Admin @ si @ RoP2008a | Serial | 992 | ||
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Author | Jose Antonio Rodriguez; Gemma Sanchez; Josep Llados | ||||
Title | Categorization of Digital Ink Elements using Spectral Features | Type | Book Chapter | ||
Year | 2008 | Publication | Graphics Recognition: Recent Advances and New Opportunities | Abbreviated Journal | |
Volume | 5046 | Issue | Pages | 188–198 | |
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Corporate Author | Thesis | ||||
Publisher | Springer–Verlag | Place of Publication | Editor | W. Liu, J. Llados, J.M. Ogier | |
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
Series Volume | Series Issue | Edition | |||
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Area | Expedition | Conference | |||
Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ RSL2008 | Serial | 1099 | ||
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Author | Jorge Bernal; F. Javier Sanchez; Fernando Vilariño | ||||
Title | A Region Segmentation Method for Colonoscopy Images Using a Model of Polyp Appearance | Type | Conference Article | ||
Year | 2011 | Publication | 5th Iberian Conference on Pattern Recognition and Image Analysis | Abbreviated Journal | |
Volume | 6669 | Issue | Pages | 134-143 | |
Keywords | Colonoscopy, Polyp Detection, Region Merging, Region Segmentation. | ||||
Abstract | This work aims at the segmentation of colonoscopy images into a minimum number of informative regions. Our method performs in a way such, if a polyp is present in the image, it will be exclusively and totally contained in a single region. This result can be used in later stages to classify regions as polyp-containing candidates. The output of the algorithm also defines which regions can be considered as non-informative. The algorithm starts with a high number of initial regions and merges them taking into account the model of polyp appearance obtained from available data. The results show that our segmentations of polyp regions are more accurate than state-of-the-art methods. | ||||
Address | Las Palmas de Gran Canaria, June 2011 | ||||
Corporate Author | SpringerLink | Thesis | |||
Publisher | Place of Publication | Editor | Vitrià, Jordi and Sanches, João and Hernández, Mario | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Lecture Notes in Computer Science | Abbreviated Series Title | LNCS | |
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-3-642-21256-7 | Medium | ||
Area | 800 | Expedition | Conference | IbPRIA | |
Notes | MV;SIAI | Approved | no | ||
Call Number | IAM @ iam @ BSV2011c | Serial | 1696 | ||
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Author | Michal Drozdzal; Santiago Segui; Carolina Malagelada; Fernando Azpiroz; Jordi Vitria; Petia Radeva | ||||
Title | Interactive Labeling of WCE Images | Type | Conference Article | ||
Year | 2011 | Publication | 5th Iberian Conference on Pattern Recognition and Image Analysis | Abbreviated Journal | |
Volume | 6669 | Issue | Pages | 143-150 | |
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Abstract | A high quality labeled training set is necessary for any supervised machine learning algorithm. Labeling of the data can be a very expensive process, specially while dealing with data of high variability and complexity. A good example of such data are the videos from Wireless Capsule Endoscopy. Building a representative WCE data set means many videos to be labeled by an expert. The problem that occurs is the data diversity, in the space of the features, from different WCE studies. That means that when new data arrives it is highly probable that it will not be represented in the training set, thus getting a high probability of performing an error when applying machine learning schemes. In this paper an interactive labeling scheme that allows reducing expert effort in the labeling process is presented. It is shown that the number of human interventions can be significantly reduced. The proposed system allows the annotation of informative/non-informative frames of the WCE video with less than 100 clicks | ||||
Address | Las Palmas de Gran Canaria. Spain | ||||
Corporate Author | Thesis | ||||
Publisher | Springer | Place of Publication | Editor | Vitria, Jordi; Sanches, João Miguel Raposo; Hernández, Mario | |
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | IbPRIA | ||
Notes | MILAB;OR;MV | Approved | no | ||
Call Number | Admin @ si @ DSM2011 | Serial | 1734 | ||
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Author | Pierluigi Casale; Oriol Pujol; Petia Radeva | ||||
Title | Human Activity Recognition from Accelerometer Data using a Wearable Device | Type | Conference Article | ||
Year | 2011 | Publication | 5th Iberian Conference on Pattern Recognition and Image Analysis | Abbreviated Journal | |
Volume | 6669 | Issue | Pages | 289-296 | |
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Abstract | Activity Recognition is an emerging field of research, born from the larger fields of ubiquitous computing, context-aware computing and multimedia. Recently, recognizing everyday life activities becomes one of the challenges for pervasive computing. In our work, we developed a novel wearable system easy to use and comfortable to bring. Our wearable system is based on a new set of 20 computationally efficient features and the Random Forest classifier. We obtain very encouraging results with classification accuracy of human activities recognition of up to 94%. | ||||
Address | Las Palmas de Gran Canaria. Spain | ||||
Corporate Author | Thesis | ||||
Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | Vitria, Jordi; Sanches, João Miguel Raposo; Hernández, Mario | |
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
Series Volume | Series Issue | Edition | |||
ISSN | 0302-9743 | ISBN | 978-3-642-21256-7 | Medium | |
Area | Expedition | Conference | IbPRIA | ||
Notes | MILAB;HuPBA | Approved | no | ||
Call Number | Admin @ si @ CPR2011a | Serial | 1735 | ||
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Author | Jaume Gibert; Ernest Valveny; Horst Bunke | ||||
Title | Vocabulary Selection for Graph of Words Embedding | Type | Conference Article | ||
Year | 2011 | Publication | 5th Iberian Conference on Pattern Recognition and Image Analysis | Abbreviated Journal | |
Volume | 6669 | Issue | Pages | 216-223 | |
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Abstract | The Graph of Words Embedding consists in mapping every graph in a given dataset to a feature vector by counting unary and binary relations between node attributes of the graph. It has been shown to perform well for graphs with discrete label alphabets. In this paper we extend the methodology to graphs with n-dimensional continuous attributes by selecting node representatives. We propose three different discretization procedures for the attribute space and experimentally evaluate the dependence on both the selector and the number of node representatives. In the context of graph classification, the experimental results reveal that on two out of three public databases the proposed extension achieves superior performance over a standard reference system. | ||||
Address | Las Palmas de Gran Canaria. Spain | ||||
Corporate Author | Thesis | ||||
Publisher | Springer | Place of Publication | Berlin | Editor | Vitria, Jordi; Sanches, João Miguel Raposo; Hernández, Mario |
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-3-642-21256-7 | Medium | ||
Area | Expedition | Conference | IbPRIA | ||
Notes | DAG | Approved | no | ||
Call Number | Admin @ si @ GVB2011b | Serial | 1744 | ||
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Author | Jiaolong Xu; Sebastian Ramos; David Vazquez; Antonio Lopez | ||||
Title | Incremental Domain Adaptation of Deformable Part-based Models | Type | Conference Article | ||
Year | 2014 | Publication | 25th British Machine Vision Conference | Abbreviated Journal | |
Volume | Issue | Pages | |||
Keywords | Pedestrian Detection; Part-based models; Domain Adaptation | ||||
Abstract | Nowadays, classifiers play a core role in many computer vision tasks. The underlying assumption for learning classifiers is that the training set and the deployment environment (testing) follow the same probability distribution regarding the features used by the classifiers. However, in practice, there are different reasons that can break this constancy assumption. Accordingly, reusing existing classifiers by adapting them from the previous training environment (source domain) to the new testing one (target domain)
is an approach with increasing acceptance in the computer vision community. In this paper we focus on the domain adaptation of deformable part-based models (DPMs) for object detection. In particular, we focus on a relatively unexplored scenario, i.e. incremental domain adaptation for object detection assuming weak-labeling. Therefore, our algorithm is ready to improve existing source-oriented DPM-based detectors as soon as a little amount of labeled target-domain training data is available, and keeps improving as more of such data arrives in a continuous fashion. For achieving this, we follow a multiple instance learning (MIL) paradigm that operates in an incremental per-image basis. As proof of concept, we address the challenging scenario of adapting a DPM-based pedestrian detector trained with synthetic pedestrians to operate in real-world scenarios. The obtained results show that our incremental adaptive models obtain equally good accuracy results as the batch learned models, while being more flexible for handling continuously arriving target-domain data. |
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Address | Nottingham; uk; September 2014 | ||||
Corporate Author | Thesis | ||||
Publisher | BMVA Press | Place of Publication | Editor | Valstar, Michel and French, Andrew and Pridmore, Tony | |
Language | Summary Language | Original Title | |||
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Area | Expedition | Conference | BMVC | ||
Notes | ADAS; 600.057; 600.054; 600.076 | Approved | no | ||
Call Number | XRV2014c; ADAS @ adas @ xrv2014c | Serial | 2455 | ||
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Author | Sergio Escalera; Oriol Pujol; Eric Laciar; Jordi Vitria; Esther Pueyo; Petia Radeva | ||||
Title | Classification of Coronary Damage in Chronic Chagasic Patients | Type | Book Chapter | ||
Year | 2010 | Publication | Intelligent Systems – From Theory to Practice. Studies in Computational Intelligence | Abbreviated Journal | |
Volume | 299 | Issue | Pages | 461-478 | |
Keywords | Chagas disease; Error-Correcting Output Codes; High resolution ECG; Decoding | ||||
Abstract | Post Conference IEEE-IS 2008
The Chagas’ disease is endemic in all Latin America, affecting millions of people in the continent. In order to diagnose and treat the chagas’ disease, it is important to detect and measure the coronary damage of the patient. In this paper, we analyze and categorize patients into different groups based on the coronary damage produced by the disease. Based on the features of the heart cycle extracted using high resolution ECG, a multi-class scheme of Error-Correcting Output Codes (ECOC)is formulated and successfully applied. The results show that the proposed scheme obtains significant performance improvements compared to previous works and state-of-the-art ECOC designs. |
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Corporate Author | Thesis | ||||
Publisher | Springer-Verlag | Place of Publication | Editor | V. Sgurev, M. Hadjiski (eds) | |
Language | Summary Language | Original Title | |||
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Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | |||
Notes | OR;MILAB;HUPBA;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ EPL2010 | Serial | 1452 | ||
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Author | Utkarsh Porwal; Alicia Fornes; Faisal Shafait (eds) | ||||
Title | Frontiers in Handwriting Recognition. International Conference on Frontiers in Handwriting Recognition. 18th International Conference, ICFHR 2022 | Type | Book Whole | ||
Year | 2022 | Publication | Frontiers in Handwriting Recognition. | Abbreviated Journal | |
Volume | 13639 | Issue | Pages | ||
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Address | ICFHR 2022, Hyderabad, India, December 4–7, 2022 | ||||
Corporate Author | Thesis | ||||
Publisher | Springer | Place of Publication | Editor | Utkarsh Porwal; Alicia Fornes; Faisal Shafait | |
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-3-031-21648-0 | Medium | ||
Area | Expedition | Conference | ICFHR | ||
Notes | DAG | Approved | no | ||
Call Number | Admin @ si @ PFS2022 | Serial | 3809 | ||
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Author | F.Guirado; Ana Ripoll; C.Roig; Aura Hernandez-Sabate; Emilio Luque | ||||
Title | Exploiting Throughput for Pipeline Execution in Streaming Image Processing Applications | Type | Book Chapter | ||
Year | 2006 | Publication | Euro-Par 2006 Parallel Processing | Abbreviated Journal | LNCS |
Volume | 4128 | Issue | Pages | 1095-1105 | |
Keywords | 12th International Euro–Par Conference | ||||
Abstract | There is a large range of image processing applications that act on an input sequence of image frames that are continuously received. Throughput is a key performance measure to be optimized when execu- ting them. In this paper we propose a new task replication methodology for optimizing throughput for an image processing application in the field of medicine. The results show that by applying the proposed methodo- logy we are able to achieve the desired throughput in all cases, in such a way that the input frames can be processed at any given rate. | ||||
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Corporate Author | Thesis | ||||
Publisher | Springer-Verlag Berlin Heidelberg | Place of Publication | Dresden, Germany (European Union) | Editor | UAB; W, E.N.; et al. |
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Lecture Notes In Computer Science | Abbreviated Series Title | ||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | Euro–Par | ||
Notes | IAM | Approved | no | ||
Call Number | IAM @ iam @ GRR2006a | Serial | 1542 | ||
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