| Records |
| Author |
Aura Hernandez-Sabate; Debora Gil; Petia Radeva |
| Title |
On the usefulness of supervised learning for vessel border detection in IntraVascular Imaging |
Type |
Conference Article |
| Year |
2005 |
Publication  |
Proceeding of the 2005 conference on Artificial Intelligence Research and Development |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
67-74 |
| Keywords |
classification; vessel border modelling; IVUS |
| Abstract |
IntraVascular UltraSound (IVUS) imaging is a useful tool in diagnosis of cardiac diseases since sequences completely show the morphology of coronary vessels. Vessel borders detection, especially the external adventitia layer, plays a central role in morphological measures and, thus, their segmentation feeds development of medical imaging techniques. Deterministic approaches fail to yield optimal results due to the large amount of IVUS artifacts and vessel borders descriptors. We propose using classification techniques to learn the set of descriptors and parameters that best detect vessel borders. Statistical hypothesis test on the error between automated detections and manually traced borders by 4 experts show that our detections keep within inter-observer variability. |
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IOS Press |
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Amsterdam, The Netherlands |
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IAM;MILAB |
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no |
| Call Number |
IAM @ iam @ HGR2005c |
Serial |
1549 |
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| Author |
Josep Llados; Enric Marti; Jaime Lopez-Krahe |
| Title |
A Hough-based method for hatched pattern detection in maps and diagrams |
Type |
Conference Article |
| Year |
1999 |
Publication |
Proceeding of the Fifth Int. Conf. Document Analysis and Recognition ICDAR ’99 |
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Pages |
479-482 |
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| Abstract |
A hatched area is characterized by a set of parallel straight lines placed at regular intervals. In this paper, a Hough-based schema is introduced to recognize hatched areas in technical documents from attributed graph structures representing the document once it has been vectorized. Defining a Hough-based transform from a graph instead of the raster image allows to drastically reduce the processing time and, second, to obtain more reliable results because straight lines have already been detected in the vectorization step. A second advantage of the proposed method is that no assumptions must be made a priori about the slope and frequency of hatching patterns, but they are computed in run time for each hatched area. |
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DAG;IAM; |
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no |
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IAM @ iam @ LIM1999b |
Serial |
1580 |
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| Author |
J.M. Sanchez; X. Binefa; J.R. Kender |
| Title |
Multiple Feature Temporal Models for Object Detection in Video. |
Type |
Miscellaneous |
| Year |
2002 |
Publication |
Proceeding of the International Conference on Multimedia and Expo ICME 2002 |
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Lausanne |
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no |
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Admin @ si @ SBK2002b |
Serial |
299 |
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| Author |
J.M. Sanchez; X. Binefa; J.R. Kender |
| Title |
Coupled Markox Chains for Video Contents Characterization. |
Type |
Miscellaneous |
| Year |
2002 |
Publication |
Proceeding of the International Conference on Pattern Recognition ICPR 2002 |
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no |
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Admin @ si @ SBK2002a |
Serial |
298 |
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| Author |
V. Valev; Petia Radeva |
| Title |
Determining structural descriptions by boolean formulas advances in structural and syntactic Pattern Recognition. |
Type |
Miscellaneous |
| Year |
1992 |
Publication |
Proceeding of the International Workshop on Structural and Syntactic Pattern Recognition. Ed. Bunke, World Scientific Pub. |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ VaR1992a |
Serial |
251 |
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| Author |
Ernest Valveny; Ricardo Toledo; Ramon Baldrich; Enric Marti |
| Title |
Combining recognition-based in segmentation-based approaches for graphic symol recognition using deformable template matching |
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Conference Article |
| Year |
2002 |
Publication |
Proceeding of the Second IASTED International Conference Visualization, Imaging and Image Proceesing VIIP 2002 |
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502–507 |
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DAG;RV;CAT;IAM;CIC;ADAS |
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no |
| Call Number |
IAM @ iam @ VTB2002 |
Serial |
1660 |
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| Author |
Ramon Baldrich; Ricardo Toledo; Ernest Valveny; Maria Vanrell |
| Title |
Perceptual Colour Image Segmentation. |
Type |
Miscellaneous |
| Year |
2002 |
Publication |
Proceeding of the Second IASTED International Conference Visualization, Imaging and Image Proceesing VIIP 2002: 145–150. |
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DAG;CIC;ADAS |
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no |
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CAT @ cat @ BTV2002 |
Serial |
290 |
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| Author |
David Lloret; Joan Serrat |
| Title |
System for calibration of a stereotatic frame. |
Type |
Miscellaneous |
| Year |
1999 |
Publication |
Proceeding of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes |
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Bilbao |
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ADAS |
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no |
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ADAS @ adas @ LlS1999 |
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20 |
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| Author |
Carlo Gatta; Oriol Pujol; Oriol Rodriguez-Leor; J. Mauri; Petia Radeva |
| Title |
Robust Image-based IVUS Pullbacks Gating |
Type |
Book Chapter |
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2008 |
Publication |
Proceedings 11th International ConferenceMedical Image Computing and Computer–Assisted Intervention |
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5242 |
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518–525 |
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NY (USA) |
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LNCS |
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MICCAI |
| Notes |
MILAB;HuPBA |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ GPR2008a |
Serial |
1037 |
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| Author |
David Guillamet; Jordi Vitria |
| Title |
Unsupervised Learning of Part-Based Representations |
Type |
Miscellaneous |
| Year |
2001 |
Publication |
Proceedings 9th International Conference CAIP 2001,700–708, W. Skarbek (Ed.): Computer Analysis of Images and Patterns, LNCS 2059, Springer Verlag, 123–134. |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ GVi2001b |
Serial |
106 |
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| Author |
Robert Benavente; Maria Vanrell |
| Title |
Parametrizacion del Espacio de Categorias de Color |
Type |
Miscellaneous |
| Year |
2007 |
Publication |
Proceedings del VIII Congreso Nacional del Color |
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77–78 |
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Madrid (Spain) |
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CNC’07 |
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CAT;CIC |
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no |
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CAT @ cat @ BeV2007 |
Serial |
905 |
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| Author |
Emanuele Vivoli; Ali Furkan Biten; Andres Mafla; Dimosthenis Karatzas; Lluis Gomez |
| Title |
MUST-VQA: MUltilingual Scene-text VQA |
Type |
Conference Article |
| Year |
2022 |
Publication |
Proceedings European Conference on Computer Vision Workshops |
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13804 |
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Pages |
345–358 |
| Keywords |
Visual question answering; Scene text; Translation robustness; Multilingual models; Zero-shot transfer; Power of language models |
| Abstract |
In this paper, we present a framework for Multilingual Scene Text Visual Question Answering that deals with new languages in a zero-shot fashion. Specifically, we consider the task of Scene Text Visual Question Answering (STVQA) in which the question can be asked in different languages and it is not necessarily aligned to the scene text language. Thus, we first introduce a natural step towards a more generalized version of STVQA: MUST-VQA. Accounting for this, we discuss two evaluation scenarios in the constrained setting, namely IID and zero-shot and we demonstrate that the models can perform on a par on a zero-shot setting. We further provide extensive experimentation and show the effectiveness of adapting multilingual language models into STVQA tasks. |
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Tel-Aviv; Israel; October 2022 |
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ECCVW |
| Notes |
DAG; 302.105; 600.155; 611.002 |
Approved |
no |
| Call Number |
Admin @ si @ VBM2022 |
Serial |
3770 |
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| Author |
Sergi Garcia Bordils; Andres Mafla; Ali Furkan Biten; Oren Nuriel; Aviad Aberdam; Shai Mazor; Ron Litman; Dimosthenis Karatzas |
| Title |
Out-of-Vocabulary Challenge Report |
Type |
Conference Article |
| Year |
2022 |
Publication |
Proceedings European Conference on Computer Vision Workshops |
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13804 |
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359–375 |
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| Abstract |
This paper presents final results of the Out-Of-Vocabulary 2022 (OOV) challenge. The OOV contest introduces an important aspect that is not commonly studied by Optical Character Recognition (OCR) models, namely, the recognition of unseen scene text instances at training time. The competition compiles a collection of public scene text datasets comprising of 326,385 images with 4,864,405 scene text instances, thus covering a wide range of data distributions. A new and independent validation and test set is formed with scene text instances that are out of vocabulary at training time. The competition was structured in two tasks, end-to-end and cropped scene text recognition respectively. A thorough analysis of results from baselines and different participants is presented. Interestingly, current state-of-the-art models show a significant performance gap under the newly studied setting. We conclude that the OOV dataset proposed in this challenge will be an essential area to be explored in order to develop scene text models that achieve more robust and generalized predictions. |
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Tel-Aviv; Israel; October 2022 |
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ECCVW |
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DAG; 600.155; 302.105; 611.002 |
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no |
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Admin @ si @ GMB2022 |
Serial |
3771 |
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| Author |
Petia Radeva; Jordi Vitria |
| Title |
Region Based Approach for Discriminant Snakes. |
Type |
Miscellaneous |
| Year |
2001 |
Publication |
Proceedings IEEE International Conference on Image Processing, 801–804. |
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OR;MILAB;MV |
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no |
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BCNPCL @ bcnpcl @ RVi2001 |
Serial |
160 |
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| Author |
Josep Llados; Gemma Sanchez |
| Title |
Symbol Recognition Using Graphs |
Type |
Miscellaneous |
| Year |
2003 |
Publication |
Proceedings of 10th IEEE International Conference on Image Processing, vol II, 49–52 |
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Barcelona |
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DAG |
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no |
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DAG @ dag @ LlS2003 |
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383 |
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