| Records |
| Author |
David Geronimo; Antonio Lopez |
| Title |
Deteccion de Peatones para Sistemas Avanzados de Asistencia al Conductor |
Type |
Miscellaneous |
| Year |
2010 |
Publication |
UAB Divulga |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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Abstract  |
Los sistemas de asistencia al conductor, y particularmente los sistemas de protección de peatones, representan uno de los campos de investigación más activos dedicados a la mejora de la seguridad vial. El mayor desafío es el desarrollo de sistemas a bordo fiables de detección de peatones. En esta revisión del estado de la técnica de la detección de peatones, se divide el problema en diferentes etapas, cada una con responsabilidades propias dentro del sistema. Esta división facilita el posterior análisis y discusión de cada uno de los métodos en la literatura, favoreciendo la comparación entre ellos. Finalmente se discuten los temas más importantes de este campo poniendo especial énfasis en las necesidades actuales y los desafíos futuros. |
| Address |
Bellaterra (Catalonia), Spain |
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| Notes |
spreading;ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ GeL2010a |
Serial |
1414 |
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| Author |
Enric Marti; Jordi Vitria; Alberto Sanfeliu |
| Title |
Reconocimiento de Formas y Análisis de Imágenes |
Type |
Book Whole |
| Year |
1998 |
Publication |
Asociación Española de Reconocimientos de Formas y Análisis de Imágenes |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Abstract |
Los sistemas actuales de reconocimiento automático del lenguaje oral se basan en dos etapas básicas de procesado: la parametrización, que extrae la evolución temporal de los parámetros que caracterizan la voz, y el reconocimiento propiamente dicho, que identifica la cadena de palabras de la elocución recibida con ayuda de los modelos que representan el conocimiento adquirido en la etapa de aprendizaje. Tomando como línea divisoria la palabra, dichos modelos son de tipo acústicofonético o gramatical. Los primeros caracterizan las palabras incluidas en el vocabulario de la aplicación o tarea a la que está orientado el sistema de reconocimiento, usando a menudo para ello modelos de unidades de habla de extensión inferior a la palabra, es decir, de unidades subléxicas. Por otro lado, la gramática incluye el conocimiento acerca de las combinaciones permitidas de palabras para formar las frases o su probabilidad. Queda fuera del esquema la denominada comprensión del habla, que utiliza adicionalmente el conocimiento semántico y pragmático para captar el significado de la elocución de entrada al sistema a partir de la cadena (o cadenas alternativas) de palabras que suministra el reconocedor. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
AERFAI |
Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
84–922529–4–4 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
IAM;OR;MV |
Approved |
no |
| Call Number |
IAM @ iam @ MVS1998 |
Serial |
1620 |
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| Author |
Katerine Diaz; Francesc J. Ferri |
| Title |
Extensiones del método de vectores comunes discriminantes Aplicadas a la clasificación de imágenes |
Type |
Book Whole |
| Year |
2013 |
Publication |
Extensiones del método de vectores comunes discriminantes Aplicadas a la clasificación de imágenes |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Abstract |
Los métodos basados en subespacios son una herramienta muy utilizada en aplicaciones de visión por computador. Aquí se presentan y validan algunos algoritmos que hemos propuesto en este campo de investigación. El primer algoritmo está relacionado con una extensión del método de vectores comunes discriminantes con kernel, que reinterpreta el espacio nulo de la matriz de dispersión intra-clase del conjunto de entrenamiento para obtener las características discriminantes. Dentro de los métodos basados en subespacios existen diferentes tipos de entrenamiento. Uno de los más populares, pero no por ello uno de los más eficientes, es el aprendizaje por lotes. En este tipo de aprendizaje, todas las muestras del conjunto de entrenamiento tienen que estar disponibles desde el inicio. De este modo, cuando nuevas muestras se ponen a disposición del algoritmo, el sistema tiene que ser reentrenado de nuevo desde cero. Una alternativa a este tipo de entrenamiento es el aprendizaje incremental. Aquí se proponen diferentes algoritmos incrementales del método de vectores comunes discriminantes. |
| Address |
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Thesis |
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Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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ISBN |
978-3-639-55339-0 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ DiF2013 |
Serial |
2440 |
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| Author |
Aura Hernandez-Sabate; Debora Gil; Jaume Garcia; Enric Marti |
| Title |
Image-based Cardiac Phase Retrieval in Intravascular Ultrasound Sequences |
Type |
Journal Article |
| Year |
2011 |
Publication |
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control |
Abbreviated Journal |
T-UFFC |
| Volume |
58 |
Issue |
1 |
Pages |
60-72 |
| Keywords |
3-D exploring; ECG; band-pass filter; cardiac motion; cardiac phase retrieval; coronary arteries; electrocardiogram signal; image intensity local mean evolution; image-based cardiac phase retrieval; in vivo pullbacks acquisition; intravascular ultrasound sequences; longitudinal motion; signal extrema; time 36 ms; band-pass filters; biomedical ultrasonics; cardiovascular system; electrocardiography; image motion analysis; image retrieval; image sequences; medical image processing; ultrasonic imaging |
| Abstract |
Longitudinal motion during in vivo pullbacks acquisition of intravascular ultrasound (IVUS) sequences is a major artifact for 3-D exploring of coronary arteries. Most current techniques are based on the electrocardiogram (ECG) signal to obtain a gated pullback without longitudinal motion by using specific hardware or the ECG signal itself. We present an image-based approach for cardiac phase retrieval from coronary IVUS sequences without an ECG signal. A signal reflecting cardiac motion is computed by exploring the image intensity local mean evolution. The signal is filtered by a band-pass filter centered at the main cardiac frequency. Phase is retrieved by computing signal extrema. The average frame processing time using our setup is 36 ms. Comparison to manually sampled sequences encourages a deeper study comparing them to ECG signals. |
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Place of Publication |
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Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
0885-3010 |
ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
IAM;ADAS |
Approved |
no |
| Call Number |
IAM @ iam @ HGG2011 |
Serial |
1546 |
| Permanent link to this record |
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| |
| Author |
Aura Hernandez-Sabate; David Rotger; Debora Gil |
| Title |
Image-based ECG sampling of IVUS sequences |
Type |
Conference Article |
| Year |
2008 |
Publication |
Proc. IEEE Ultrasonics Symp. IUS 2008 |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
1330-1333 |
| Keywords |
Longitudinal Motion; Image-based ECG-gating; Fourier analysis |
| Abstract |
Longitudinal motion artifacts in IntraVascular UltraSound (IVUS) sequences hinders a properly 3D reconstruction and vessel measurements. Most of current techniques base on the ECG signal to obtain a gated pullback without the longitudinal artifact by using a specific hardware or the ECG signal itself. The potential of IVUS images processing for phase retrieval still remains little explored. In this paper, we present a fast forward image-based algorithm to approach ECG sampling. Inspired on the fact that maximum and minimum lumen areas are related to end-systole and end-diastole, our cardiac phase retrieval is based on the analysis of tissue density of mass along the sequence. The comparison between automatic and manual phase retrieval (0.07 ± 0.07 mm. of error) encourages a deep validation contrasting with ECG signals. |
| Address |
Beijing (China) |
| Corporate Author |
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Place of Publication |
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Summary Language |
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Original Title |
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Series Title |
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Edition |
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ISBN |
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Medium |
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Expedition |
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Conference |
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| Notes |
IAM;MILAB |
Approved |
no |
| Call Number |
IAM @ iam @ HRG2008 |
Serial |
1553 |
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| Author |
G. Zahnd; Simone Balocco; A. Serusclat; P. Moulin; M. Orkisz; D. Vray |
| Title |
Progressive attenuation of the longitudinal kinetics in the common carotid artery: preliminary in vivo assessment Ultrasound in Medicine and Biology |
Type |
Journal Article |
| Year |
2015 |
Publication |
Ultrasound in Medicine and Biology |
Abbreviated Journal |
UMB |
| Volume |
41 |
Issue |
1 |
Pages |
339-345 |
| Keywords |
Arterial stiffness; Atherosclerosis; Common carotid artery; Longitudinal kinetics; Motion tracking; Ultrasound imaging |
| Abstract |
Longitudinal kinetics (LOKI) of the arterial wall consists of the shearing motion of the intima-media complex over the adventitia layer in the direction parallel to the blood flow during the cardiac cycle. The aim of this study was to investigate the local variability of LOKI amplitude along the length of the vessel. By use of a previously validated motion-estimation framework, 35 in vivo longitudinal B-mode ultrasound cine loops of healthy common carotid arteries were analyzed. Results indicated that LOKI amplitude is progressively attenuated along the length of the artery, as it is larger in regions located on the proximal side of the image (i.e., toward the heart) and smaller in regions located on the distal side of the image (i.e., toward the head), with an average attenuation coefficient of -2.5 ± 2.0%/mm. Reported for the first time in this study, this phenomenon is likely to be of great importance in improving understanding of atherosclerosis mechanisms, and has the potential to be a novel index of arterial stiffness. |
| Address |
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Thesis |
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Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
MILAB |
Approved |
no |
| Call Number |
Admin @ si @ ZBS2014 |
Serial |
2556 |
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| Author |
Pedro Martins; Paulo Carvalho; Carlo Gatta |
| Title |
Context-aware features and robust image representations |
Type |
Journal Article |
| Year |
2014 |
Publication |
Journal of Visual Communication and Image Representation |
Abbreviated Journal |
JVCIR |
| Volume |
25 |
Issue |
2 |
Pages |
339-348 |
| Keywords |
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| Abstract |
Local image features are often used to efficiently represent image content. The limited number of types of features that a local feature extractor responds to might be insufficient to provide a robust image representation. To overcome this limitation, we propose a context-aware feature extraction formulated under an information theoretic framework. The algorithm does not respond to a specific type of features; the idea is to retrieve complementary features which are relevant within the image context. We empirically validate the method by investigating the repeatability, the completeness, and the complementarity of context-aware features on standard benchmarks. In a comparison with strictly local features, we show that our context-aware features produce more robust image representations. Furthermore, we study the complementarity between strictly local features and context-aware ones to produce an even more robust representation. |
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Thesis |
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Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
LAMP; 600.079;MILAB |
Approved |
no |
| Call Number |
Admin @ si @ MCG2014 |
Serial |
2467 |
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| Author |
Ivo Everts; Jan van Gemert; Theo Gevers |
| Title |
Per-patch Descriptor Selection using Surface and Scene Properties |
Type |
Conference Article |
| Year |
2012 |
Publication |
12th European Conference on Computer Vision |
Abbreviated Journal |
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| Volume |
7577 |
Issue |
VI |
Pages |
172-186 |
| Keywords |
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| Abstract |
Local image descriptors are generally designed for describing all possible image patches. Such patches may be subject to complex variations in appearance due to incidental object, scene and recording conditions. Because of this, a single-best descriptor for accurate image representation under all conditions does not exist. Therefore, we propose to automatically select from a pool of descriptors the one that is best suitable based on object surface and scene properties. These properties are measured on the fly from a single image patch through a set of attributes. Attributes are input to a classifier which selects the best descriptor. Our experiments on a large dataset of colored object patches show that the proposed selection method outperforms the best single descriptor and a-priori combinations of the descriptor pool. |
| Address |
Florence, Italy |
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Thesis |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Original Title |
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Abbreviated Series Title |
LNCS |
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Series Issue |
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Edition |
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| ISSN |
0302-9743 |
ISBN |
978-3-642-33782-6 |
Medium |
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Conference |
ECCV |
| Notes |
ALTRES;ISE |
Approved |
no |
| Call Number |
Admin @ si @ EGG2012 |
Serial |
2023 |
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| Author |
Adria Ruiz; Joost Van de Weijer; Xavier Binefa |
| Title |
From emotions to action units with hidden and semi-hidden-task learning |
Type |
Conference Article |
| Year |
2015 |
Publication |
16th IEEE International Conference on Computer Vision |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
3703-3711 |
| Keywords |
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| Abstract |
Limited annotated training data is a challenging problem in Action Unit recognition. In this paper, we investigate how the use of large databases labelled according to the 6 universal facial expressions can increase the generalization ability of Action Unit classifiers. For this purpose, we propose a novel learning framework: Hidden-Task Learning. HTL aims to learn a set of Hidden-Tasks (Action Units)for which samples are not available but, in contrast, training data is easier to obtain from a set of related VisibleTasks (Facial Expressions). To that end, HTL is able to exploit prior knowledge about the relation between Hidden and Visible-Tasks. In our case, we base this prior knowledge on empirical psychological studies providing statistical correlations between Action Units and universal facial expressions. Additionally, we extend HTL to Semi-Hidden Task Learning (SHTL) assuming that Action Unit training samples are also provided. Performing exhaustive experiments over four different datasets, we show that HTL and SHTL improve the generalization ability of AU classifiers by training them with additional facial expression data. Additionally, we show that SHTL achieves competitive performance compared with state-of-the-art Transductive Learning approaches which face the problem of limited training data by using unlabelled test samples during training. |
| Address |
Santiago de Chile; Chile; December 2015 |
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Place of Publication |
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Summary Language |
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Original Title |
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Edition |
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Conference |
ICCV |
| Notes |
LAMP; 600.068; 600.079 |
Approved |
no |
| Call Number |
Admin @ si @ RWB2015 |
Serial |
2671 |
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| Author |
Armin Mehri; Parichehr Behjati Ardakani; Angel Sappa |
| Title |
MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution |
Type |
Conference Article |
| Year |
2021 |
Publication |
IEEE Winter Conference on Applications of Computer Vision |
Abbreviated Journal |
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Issue |
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Pages |
2703-2712 |
| Keywords |
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| Abstract |
Lightweight super resolution networks have extremely importance for real-world applications. In recent years several SR deep learning approaches with outstanding achievement have been introduced by sacrificing memory and computational cost. To overcome this problem, a novel lightweight super resolution network is proposed, which improves the SOTA performance in lightweight SR and performs roughly similar to computationally expensive networks. Multi-Path Residual Network designs with a set of Residual concatenation Blocks stacked with Adaptive Residual Blocks: ($i$) to adaptively extract informative features and learn more expressive spatial context information; ($ii$) to better leverage multi-level representations before up-sampling stage; and ($iii$) to allow an efficient information and gradient flow within the network. The proposed architecture also contains a new attention mechanism, Two-Fold Attention Module, to maximize the representation ability of the model. Extensive experiments show the superiority of our model against other SOTA SR approaches. |
| Address |
Virtual; January 2021 |
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Summary Language |
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Original Title |
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Conference |
WACV |
| Notes |
MSIAU; 600.130; 600.122 |
Approved |
no |
| Call Number |
Admin @ si @ MAS2021b |
Serial |
3582 |
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| Author |
Kai Wang; Chenshen Wu; Andrew Bagdanov; Xialei Liu; Shiqi Yang; Shangling Jui; Joost Van de Weijer |
| Title |
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification |
Type |
Conference Article |
| Year |
2022 |
Publication |
33rd British Machine Vision Conference |
Abbreviated Journal |
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Issue |
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Pages |
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| Abstract |
Lifelong object re-identification incrementally learns from a stream of re-identification tasks. The objective is to learn a representation that can be applied to all tasks and that generalizes to previously unseen re-identification tasks. The main challenge is that at inference time the representation must generalize to previously unseen identities. To address this problem, we apply continual meta metric learning to lifelong object re-identification. To prevent forgetting of previous tasks, we use knowledge distillation and explore the roles of positive and negative pairs. Based on our observation that the distillation and metric losses are antagonistic, we propose to remove positive pairs from distillation to robustify model updates. Our method, called Distillation without Positive Pairs (DwoPP), is evaluated on extensive intra-domain experiments on person and vehicle re-identification datasets, as well as inter-domain experiments on the LReID benchmark. Our experiments demonstrate that DwoPP significantly outperforms the state-of-the-art. |
| Address |
London; UK; November 2022 |
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Conference |
BMVC |
| Notes |
LAMP; 600.147 |
Approved |
no |
| Call Number |
Admin @ si @ WWB2022 |
Serial |
3794 |
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| Author |
Marc Bolaños; Maite Garolera; Petia Radeva |
| Title |
Object Discovery using CNN Features in Egocentric Videos |
Type |
Conference Article |
| Year |
2015 |
Publication |
Pattern Recognition and Image Analysis, Proceedings of 7th Iberian Conference , ibPRIA 2015 |
Abbreviated Journal |
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| Volume |
9117 |
Issue |
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Pages |
67-74 |
| Keywords |
Object discovery; Egocentric videos; Lifelogging; CNN |
| Abstract |
Lifelogging devices based on photo/video are spreading faster everyday. This growth can represent great benefits to develop methods for extraction of meaningful information about the user wearing the device and his/her environment. In this paper, we propose a semi-supervised strategy for easily discovering objects relevant to the person wearing a first-person camera. The egocentric video sequence acquired by the camera, uses both the appearance extracted by means of a deep convolutional neural network and an object refill methodology that allow to discover objects even in case of small amount of object appearance in the collection of images. We validate our method on a sequence of 1000 egocentric daily images and obtain results with an F-measure of 0.5, 0.17 better than the state of the art approach. |
| Address |
Santiago de Compostela; España; June 2015 |
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LNCS |
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Edition |
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| ISSN |
0302-9743 |
ISBN |
978-3-319-19389-2 |
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Conference |
IbPRIA |
| Notes |
MILAB |
Approved |
no |
| Call Number |
Admin @ si @ BGR2015 |
Serial |
2596 |
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| Author |
Fernando Vilariño; Dimosthenis Karatzas; Alberto Valcarce |
| Title |
Libraries as New Innovation Hubs: The Library Living Lab |
Type |
Conference Article |
| Year |
2018 |
Publication |
30th ISPIM Innovation Conference |
Abbreviated Journal |
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Issue |
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Pages |
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| Abstract |
Libraries are in deep transformation both in EU and around the world, and they are thriving within a great window of opportunity for innovation. In this paper, we show how the Library Living Lab in Barcelona participated of this changing scenario and contributed to create the Bibliolab program, where more than 200 public libraries give voice to their users in a global user-centric innovation initiative, using technology as enabling factor. The Library Living Lab is a real 4-helix implementation where Universities, Research Centers, Public Administration, Companies and the Neighbors are joint together to explore how technology transforms the cultural experience of people. This case is an example of scalability and provides reference tools for policy making, sustainability, user engage methodologies and governance. We provide specific examples of new prototypes and services that help to understand how to redefine the role of the Library as a real hub for social innovation. |
| Address |
Stockholm; May 2018 |
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Conference |
ISPIM |
| Notes |
DAG; MV; 600.097; 600.121; 600.129;SIAI |
Approved |
no |
| Call Number |
Admin @ si @ VKV2018b |
Serial |
3154 |
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| Author |
Jaume Garcia; Debora Gil; Francesc Carreras; Sandra Pujades; R.Leta; Xavier Alomar; Guillem Pons-LLados |
| Title |
Patrons de Normalitat Regional per la Valoració de la Funció del Ventricle Esquerre |
Type |
Conference Article |
| Year |
2008 |
Publication |
XX Congrés de la Societat Catalana de Cardiologia |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
60 |
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| Abstract |
Les malalties cardiovasculars afecten les propietats contràctils de la banda ventricular i provoquen una variació de la funció del Ventricle Esquerre (VE) . Només els indicadors locals (strains, la deformació del teixit) són capaços de detectar anomalies en territoris específics del VE . Patrons de normalitat regionals d’aquests paràmetres serien d’utilitat a l’hora de valorar-ne la funció .
Presentem un Domini Paramètric Normalitzat (DPN) que permet comparar dades de diferents pacients i definir Patrons de Normalitat Regional (PNR) |
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Barcelona |
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| Language |
catalan |
Summary Language |
catalan |
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IAM; |
Approved |
no |
| Call Number |
IAM @ iam @ GGC2008b |
Serial |
1503 |
| Permanent link to this record |
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| Author |
Clement Guerin; Christophe Rigaud; Karell Bertet; Jean-Christophe Burie; Arnaud Revel ; Jean-Marc Ogier |
| Title |
Réduction de l’espace de recherche pour les personnages de bandes dessinées |
Type |
Conference Article |
| Year |
2014 |
Publication |
19th National Congress Reconnaissance de Formes et l'Intelligence Artificielle |
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| Keywords |
contextual search; document analysis; comics characters |
| Abstract |
Les bandes dessinées représentent un patrimoine culturel important dans de nombreux pays et leur numérisation massive offre la possibilité d'effectuer des recherches dans le contenu des images. À ce jour, ce sont principalement les structures des pages et leurs contenus textuels qui ont été étudiés, peu de travaux portent sur le contenu graphique. Nous proposons de nous appuyer sur des éléments déjà étudiés tels que la position des cases et des bulles, pour réduire l'espace de recherche et localiser les personnages en fonction de la queue des bulles. L'évaluation de nos différentes contributions à partir de la base eBDtheque montre un taux de détection des queues de bulle de 81.2%, de localisation des personnages allant jusqu'à 85% et un gain d'espace de recherche de plus de 50%. |
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Rouen; Francia; July 2014 |
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RFIA |
| Notes |
DAG; 600.077 |
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Admin @ si @ GRB2014 |
Serial |
2480 |
| Permanent link to this record |
