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Author |
Bhalaji Nagarajan; Ricardo Marques; Marcos Mejia; Petia Radeva |
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Title |
Class-conditional Importance Weighting for Deep Learning with Noisy Labels |
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Conference Article |
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Year |
2022 |
Publication |
17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications |
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5 |
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Pages |
679-686 |
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Keywords |
Noisy Labeling; Loss Correction; Class-conditional Importance Weighting; Learning with Noisy Labels |
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Abstract |
Large-scale accurate labels are very important to the Deep Neural Networks to train them and assure high performance. However, it is very expensive to create a clean dataset since usually it relies on human interaction. To this purpose, the labelling process is made cheap with a trade-off of having noisy labels. Learning with Noisy Labels is an active area of research being at the same time very challenging. The recent advances in Self-supervised learning and robust loss functions have helped in advancing noisy label research. In this paper, we propose a loss correction method that relies on dynamic weights computed based on the model training. We extend the existing Contrast to Divide algorithm coupled with DivideMix using a new class-conditional weighted scheme. We validate the method using the standard noise experiments and achieved encouraging results. |
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Virtual; February 2022 |
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VISAPP |
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MILAB; no menciona |
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no |
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Admin @ si @ NMM2022 |
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3798 |
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Author |
Xose M. Pardo; Petia Radeva |
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Title |
Discriminant snakes for 3D reconstruction in medical Images. |
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Conference Article |
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Year |
2000 |
Publication |
15 th International Conference on Pattern Recognition |
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4 |
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336-339 |
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Barcelona. |
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ICPR |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ PaR2000 |
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234 |
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Author |
Ricardo Toledo; X. Orriols; Petia Radeva; X. Binefa; Jordi Vitria; Cristina Cañero; Juan J. Villanueva |
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Title |
Eigensnakes for vessel segmentation in angiography. |
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Conference Article |
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Year |
2000 |
Publication |
15 th International Conference on Pattern Recognition |
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4 |
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340-343 |
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Barcelona. |
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ICPR |
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OR;MILAB;ADAS;MV |
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BCNPCL @ bcnpcl @ TOR2000 |
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235 |
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Author |
A. Pujol; Felipe Lumbreras; Javier Varona; Juan J. Villanueva |
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Title |
Locating people in indoor scenes for real applications. |
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Conference Article |
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Year |
2000 |
Publication |
15 th International Conference on Pattern Recognition |
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4 |
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632-635 |
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Barcelona. |
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ICPR |
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ADAS |
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no |
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ADAS @ adas @ PLV2000 |
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237 |
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Author |
Cristina Cañero; Petia Radeva; Ricardo Toledo; Juan J. Villanueva; J. Mauri |
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Title |
3D Curve Reconstruction by Biplane Snakes. |
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Conference Article |
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Year |
2000 |
Publication |
15 th International Conference on Pattern Recognition |
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4 |
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563-566 |
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Barcelona. |
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ICPR |
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MILAB;ADAS |
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no |
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Call Number |
BCNPCL @ bcnpcl @ CRT2000 |
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238 |
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Author |
Joan Serrat; Antonio Lopez; David Lloret |
![download PDF file pdf](img/file_PDF.gif)
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Title |
On ridges and valleys. |
Type |
Conference Article |
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Year |
2000 |
Publication |
15 th International Conference on Pattern Recognition |
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4 |
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59-66 |
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Barcelona |
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ADAS |
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no |
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ADAS @ adas @ SLL2000 d |
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334 |
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Author |
Oriol Rodriguez-Leor; J. Mauri; Eduard Fernandez-Nofrerias; M. Gomez; Antonio Tovar; L. Cano; C. Diego; Carme Julia; Vicente del Valle; Debora Gil; Petia Radeva |
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Title |
Ecografia Intracoronaria: Segmentacio Automatica de area de la llum |
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Journal |
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2002 |
Publication |
Revista Societat Catalana de Cardiologia |
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4 |
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4 |
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42 |
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Barcelona |
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XIVe Congres de la Societat Catalana de Cardiologia |
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Notes |
MILAB;IAM |
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no |
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Call Number |
BCNPCL @ bcnpcl @ RMF2002 |
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435 |
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Permanent link to this record |
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Author |
Oriol Pujol; Petia Radeva |
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Title |
Texture Segmentation by Statistical Deformable Models |
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Journal |
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Year |
2004 |
Publication |
International Journal of Image and Graphics |
Abbreviated Journal |
IJIG |
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Volume ![sorted by Volume (numeric) field, descending order (down)](img/sort_desc.gif) |
4 |
Issue |
3 |
Pages |
433-452 |
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Keywords |
Texture segmentation, parametric active contours, statistic snakes |
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Deformable models have received much popularity due to their ability to include high-level knowledge on the application domain into low-level image processing. Still, most proposed active contour models do not sufficiently profit from the application information and they are too generalized, leading to non-optimal final results of segmentation, tracking or 3D reconstruction processes. In this paper we propose a new deformable model defined in a statistical framework to segment objects of natural scenes. We perform a supervised learning of local appearance of the textured objects and construct a feature space using a set of co-occurrence matrix measures. Linear Discriminant Analysis allows us to obtain an optimal reduced feature space where a mixture model is applied to construct a likelihood map. Instead of using a heuristic potential field, our active model is deformed on a regularized version of the likelihood map in order to segment objects characterized by the same texture pattern. Different tests on synthetic images, natural scene and medical images show the advantages of our statistic deformable model. |
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Notes |
MILAB;HuPBA |
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no |
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Call Number |
BCNPCL @ bcnpcl @ PuR2004a |
Serial |
505 |
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Permanent link to this record |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy |
Type |
Conference Article |
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Year |
2006 |
Publication |
18th International Conference on Pattern Recognition |
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4 |
Issue |
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719-722 |
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Clinical diagnosis , Endoscopes , Fluids and secretions , Gabor filters , Hospitals , Image sequence analysis , Intestines , Lighting , Shape , Visualization |
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Abstract |
Wireless capsule video endoscopy is a novel and challenging clinical technique, whose major reported drawback relates to the high amount of time needed for video visualization. In this paper, we propose a method for the rejection of the parts of the video resulting not valid for analysis by means of automatic detection of intestinal juices. We applied Gabor filters for the characterization of the bubble-like shape of intestinal juices in fasting patients. Our method achieves a significant reduction in visualization time, with no relevant loss of valid frames. The proposed approach is easily extensible to other image analysis scenarios where the described pattern of bubbles can be found. |
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Hong Kong |
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1051-4651 |
ISBN |
0-7695-2521-0 |
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800 |
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ICPR |
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Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ VSV2006b; IAM @ iam @ VSV2006g |
Serial |
727 |
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Permanent link to this record |
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Author |
Maya Dimitrova; Ch. Roumenin; Siya Lozanova; David Rotger; Petia Radeva |
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Title |
An Interface System Based on Multimodal Principle for Cardiological Diagnosis Assistance |
Type |
Conference Article |
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Year |
2007 |
Publication |
International Conference On Computer Systems And Technologies |
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Volume ![sorted by Volume (numeric) field, descending order (down)](img/sort_desc.gif) |
IIIB.4 |
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1–6 |
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Bulgaria |
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CompSysTech’07 |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ DRL2007 |
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833 |
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Permanent link to this record |
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Author |
C. Butakoff; Simone Balocco; F.M. Sukno; C. Hoogendoorn; C. Tobon-Gomez; G. Avegliano; A.F. Frangi |
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Title |
Left-ventricular Epi- and Endocardium Extraction from 3D Ultrasound Images Using an Automatically Constructed 3D ASM |
Type |
Journal Article |
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Year |
2016 |
Publication |
Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization |
Abbreviated Journal |
CMBBE |
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4 |
Issue |
5 |
Pages |
265-280 |
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ASM; cardiac segmentation; statistical model; shape model; 3D ultrasound; cardiac segmentation |
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In this paper, we propose an automatic method for constructing an active shape model (ASM) to segment the complete cardiac left ventricle in 3D ultrasound (3DUS) images, which avoids costly manual landmarking. The automatic construction of the ASM has already been addressed in the literature; however, the direct application of these methods to 3DUS is hampered by a high level of noise and artefacts. Therefore, we propose to construct the ASM by fusing the multidetector computed tomography data, to learn the shape, with the artificially generated 3DUS, in order to learn the neighbourhood of the boundaries. Our artificial images were generated by two approaches: a faster one that does not take into account the geometry of the transducer, and a more comprehensive one, implemented in Field II toolbox. The segmentation accuracy of our ASM was evaluated on 20 patients with left-ventricular asynchrony, demonstrating plausibility of the approach. |
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2168-1163 |
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MILAB |
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Admin @ si @ BBS2016 |
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2449 |
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Author |
Carles Fernandez; Pau Baiget; Xavier Roca; Jordi Gonzalez |
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Title |
Exploiting Natural Language Generation in Scene Interpretation |
Type |
Book Chapter |
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Year |
2009 |
Publication |
Human–Centric Interfaces for Ambient Intelligence |
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4 |
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71–93 |
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Elsevier Science and Tech |
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ISE |
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ISE @ ise @ FBR2009 |
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1212 |
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Author |
Debora Gil; Petia Radeva; Jordi Saludes; J. Mauri |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Automatic Segmentation of Artery Wall in Coronary IVUS Images: A Probabilistic Approach |
Type |
Conference Article |
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Year |
2000 |
Publication |
International Conference on Pattern Recognition |
Abbreviated Journal |
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4 |
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352-355 |
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Intravascular ultrasound images represent a unique tool to analyze the morphology of arteries and vessels (plaques, restenosis, etc). The poor quality of these images makes unsupervised segmentation based on traditional segmentation algorithms (such as edge or ridge/valley detection) fail to achieve the expected results. In this paper we present a probabilistic flexible template to separate different regions in the image. In particular, we use elliptic templates to model and detect the shape of the vessel inner wall in IVUS images. We present the results of successful segmentation obtained from patients undergoing stent treatment. A physician team has validated these results. |
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IAM;MILAB |
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IAM @ iam @ GRS2000a |
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1537 |
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Permanent link to this record |
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Author |
Victor Ponce; Mario Gorga; Xavier Baro; Petia Radeva; Sergio Escalera |
![goto web page url](img/www.gif)
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Title |
Analisis de la Expresion Oral y Gestual en Proyectos Fin de Carrera Via un Sistema de Vision Artificial |
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Miscellaneous |
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Year |
2011 |
Publication |
Revista electronica de la asociacion de enseñantes universitarios de la informatica AENUI |
Abbreviated Journal |
ReVision |
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4 |
Issue |
1 |
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8-18 |
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La comunicación y expresión oral es una competencia de especial relevancia en el EEES. No obstante, en muchas enseñanzas superiores la puesta en práctica de esta competencia ha sido relegada principalmente a la presentación de proyectos fin de carrera. Dentro de un proyecto de innovación docente, se ha desarrollado una herramienta informática para la extracción de información objetiva para el análisis de la expresión oral y gestual de los alumnos. El objetivo es dar un “feedback” a los estudiantes que les permita mejorar la calidad de sus presentaciones. El prototipo inicial que se presenta en este trabajo permite extraer de forma automática información audiovisual y analizarla mediante técnicas de aprendizaje. El sistema ha sido aplicado a 15 proyectos fin de carrera y 15 exposiciones dentro de una asignatura de cuarto curso. Los resultados obtenidos muestran la viabilidad del sistema para sugerir factores que ayuden tanto en el éxito de la comunicación así como en los criterios de evaluación. |
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1989-1199 |
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MILAB;HuPBA;MV |
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Admin @ si @ PGB2011c |
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1783 |
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Hamdi Dibeklioglu; M.O. Hortas; I. Kosunen; P. Zuzánek; Albert Ali Salah; Theo Gevers |
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Title |
Design and implementation of an affect-responsive interactive photo frame |
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2011 |
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Journal on Multimodal User Interfaces |
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JMUI |
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2 |
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81-95 |
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This paper describes an affect-responsive interactive photo-frame application that offers its user a different experience with every use. It relies on visual analysis of activity levels and facial expressions of its users to select responses from a database of short video segments. This ever-growing database is automatically prepared by an offline analysis of user-uploaded videos. The resulting system matches its user’s affect along dimensions of valence and arousal, and gradually adapts its response to each specific user. In an extended mode, two such systems are coupled and feed each other with visual content. The strengths and weaknesses of the system are assessed through a usability study, where a Wizard-of-Oz response logic is contrasted with the fully automatic system that uses affective and activity-based features, either alone, or in tandem. |
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Springer–Verlag |
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1783-7677 |
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ALTRES;ISE |
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Admin @ si @ DHK2011 |
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1842 |
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