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Author Ignasi Rius; Jordi Gonzalez; Mikhail Mozerov; Xavier Roca edit  openurl
  Title Automatic Learning of 3D Pose Variability in Walking Performances for Gait Analysis Type Journal
  Year 2008 Publication International Journal for Computational Vision and Biomechanics Abbreviated Journal  
  Volume 1 Issue 1 Pages 33–43  
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  Notes ISE Approved no  
  Call Number ISE @ ise @ RGM2008 Serial 1020  
Permanent link to this record
 
 
Author Carles Fernandez; Xavier Roca; Jordi Gonzalez edit  openurl
  Title Providing Automatic Multilingual Text Generation to Artificial Cognitive Systems Type Journal
  Year 2008 Publication Abbreviated Journal  
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  Notes ISE Approved no  
  Call Number ISE @ ise @ FRG2008 Serial 1021  
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Author X. Varona; Antoni Jaume-i-Capo; Jordi Gonzalez; Francisco Jose Perales edit  openurl
  Title Toward Natural Interaction through Visual Recognition of Body Gestures in Real-Time Type Journal
  Year 2008 Publication Interacting with Computers, diu 10,1016/j.intcom.2008.10.001, available on line Abbreviated Journal  
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  Notes Approved no  
  Call Number ISE @ ise @ VJG2008 Serial 1022  
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Author Agata Lapedriza; Jaume Garcia; Ernest Valveny; Robert Benavente; Miquel Ferrer; Gemma Sanchez edit  openurl
  Title Una experiencia de aprenentatge basada en projectes en el ambit de la informatica Type Miscellaneous
  Year 2008 Publication V Jornades d’Innovacio Docent (UAB) Abbreviated Journal  
  Volume Issue Pages 63  
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  Address Bellaterra (Spain)  
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  Publisher Place of Publication Editor  
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  Notes OR; IAM; DAG; CIC; MV Approved no  
  Call Number BCNPCL @ bcnpcl @ LGV2008 Serial 1030  
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Author Robert Benavente; Ernest Valveny; Jaume Garcia; Agata Lapedriza; Miquel Ferrer; Gemma Sanchez edit  openurl
  Title Una experiencia de adaptacion al EEES de las asignaturas de programacion en Ingenieria Informatica Type Miscellaneous
  Year 2008 Publication V Congreso Iberoamericano de Docencia Universitaria, pp. 213–216 Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address Valencia  
  Corporate Author Thesis  
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  Area (up) Expedition Conference  
  Notes OR;DAG;CIC;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ BVG2008 Serial 1031  
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Author Jaume Garcia; Debora Gil; Sandra Pujades; Francesc Carreras edit   pdf
openurl 
  Title Valoracion de la Funcion del Ventriculo Izquierdo mediante Modelos Regionales Hiperparametricos Type Journal Article
  Year 2008 Publication Revista Española de Cardiologia Abbreviated Journal  
  Volume 61 Issue 3 Pages 79  
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  Abstract La mayoría de la enfermedades cardiovasculares afectan a las propiedades contráctiles de la banda ventricular helicoidal. Esto se refleja en una variación del comportamiento normal de la función ventricular. Parámetros locales tales como los strains, o la deformación experimentada por el tejido, son indicadores capaces de detectar anomalías funcionales en territorios específicos. A menudo, dichos parámetros son considerados de forma separada. En este trabajo presentamos un marco computacional (el Dominio Paramétrico Normalizado, DPN) que permite integrarlos en hiperparámetros funcionales y estudiar sus rangos de normalidad. Dichos rangos permiten valorar de forma objetiva la función regional de cualquier nuevo paciente. Para ello, consideramos secuencias de resonancia magnética etiquetada a nivel basal, medio y apical. Los hiperparámetros se obtienen a partir del movimiento intramural del VI estimado mediante el método Harmonic Phase Flow. El DPN se define a partir de en una parametrización del Ventrículo Izquierdo (VI) en sus coordenadas radiales y circunferencial basada en criterios anatómicos. El paso de los hiperparámetros al DPN hace posible la comparación entre distintos pacientes. Los rangos de normalidad se definen mediante análisis estadístico de valores de voluntarios sanos en 45 regiones del DPN a lo largo de 9 fases sistólicas. Se ha usado un conjunto de 19 (14 H; E: 30.7±7.5) voluntarios sanos para crear los patrones de normalidad y se han validado usando 2 controles sanos y 3 pacientes afectados de contractilidad global reducida. Para los controles los resultados regionales se han ajustado dentro de la normalidad, mientras que para los pacientes se han obtenido valores anormales en las zonas descritas, localizando y cuantificando así el diagnóstico empírico.  
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  Notes IAM; Approved no  
  Call Number IAM @ iam @ GRP2008 Serial 1032  
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Author C. Santa-Marta; Jaume Garcia; A. Bajo; J.J. Vaquero; M. Ledesma-Carbayo; Debora Gil edit  openurl
  Title Influence of the Temporal Resolution on the Quantification of Displacement Fields in Cardiac Magnetic Resonance Tagged Images Type Conference Article
  Year 2008 Publication XXVI Congreso Anual de la Sociedad Española de Ingenieria Biomedica Abbreviated Journal  
  Volume Issue Pages 352–353  
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  Abstract It is difficult to acquire tagged cardiac MR images with a high temporal and spatial resolution using clinical MR scanners. However, if such images are used for quantifying scores based on motion, it is essential a resolution as high as possibl e. This paper explores the influence of the temporal resolution of a tagged series on the quantification of myocardial dynamic parameters. To such purpose we have designed a SPAMM (Spatial Modulation of Magnetization) sequence allowing acquisition of sequences at simple and double temporal resolution. Sequences are processed to compute myocardial motion by an automatic technique based on the tracking of the harmonic phase of tagged images (the Harmonic Phase Flow, HPF). The results have been compared to manual tracking of myocardial tags. The error in displacement fields for double resolution sequences reduces 17%.  
  Address Valladolid  
  Corporate Author Thesis  
  Publisher Place of Publication Editor Roberto hornero, Saniel Abasolo  
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  Area (up) Expedition Conference CASEIB  
  Notes IAM; Approved no  
  Call Number IAM @ iam @ SGB2008 Serial 1033  
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Author Fadi Dornaika; Bogdan Raducanu edit  openurl
  Title Facial Expression Recognition for HCI Applications Type Book Chapter
  Year 2008 Publication Encyclopedia of Artificial Intelligence Abbreviated Journal  
  Volume II Issue Pages 625–631  
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  Publisher IGI–Global Publisher Place of Publication Editor Rabuñal  
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  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ DoR2008c Serial 1034  
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Author Bogdan Raducanu; Fadi Dornaika edit  openurl
  Title Dynamic Vs. Static Recognition of Facial Expressions Type Book Chapter
  Year 2008 Publication Ambient Intelligence. European Conference Abbreviated Journal  
  Volume 5355 Issue Pages 13–25  
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  Address Nuremberg (Germany)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor Rabuñal  
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  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area (up) Expedition Conference AMI  
  Notes OR; MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaD2008 Serial 1035  
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Author O. Rodriguez-Leor; Carlo Gatta; E Fernandez-Nofrerias; Oriol Pujol; Neus Salvatella; C. Bosch; H. Tizon; Petia Radeva; J. Mauri edit  openurl
  Title Computationally Efficient Image-based IVUS Pullbacks Gating Type Journal
  Year 2008 Publication European Heart Journal, ESC Supplement, Munich, 2008, p. 775 Abbreviated Journal  
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  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ RGF2008 Serial 1036  
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Author Carlo Gatta; Oriol Pujol; O. Rodriguez-Leor; J. Mauri; Petia Radeva edit  openurl
  Title Robust Image-based IVUS Pullbacks Gating Type Book Chapter
  Year 2008 Publication Proceedings 11th International ConferenceMedical Image Computing and Computer–Assisted Intervention Abbreviated Journal  
  Volume 5242 Issue Pages 518–525  
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  Address NY (USA)  
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  Series Editor Series Title Abbreviated Series Title LNCS  
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  Area (up) Expedition Conference MICCAI  
  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ GPR2008a Serial 1037  
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Author Carlo Gatta; Oriol Pujol; O. Rodriguez-Leor; Josefina Mauri; Petia Radeva edit  openurl
  Title Improved Rigid Registration of Vessel Structures using the Fast Radial Symmetry Transform Type Conference Article
  Year 2008 Publication Computer Vision for Intravascular Imaging CVII’08 Workshop Medical Image Computing and Computer–Assisted Intervention , 11th International Conference Abbreviated Journal  
  Volume Issue Pages 128–136  
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  Address NY (USA)  
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  Area (up) Expedition Conference MICCAI  
  Notes MILAB;HUPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ GPR2008b Serial 1038  
Permanent link to this record
 
 
Author Aymen Azaza edit  isbn
openurl 
  Title Context, Motion and Semantic Information for Computational Saliency Type Book Whole
  Year 2018 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
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  Abstract The main objective of this thesis is to highlight the salient object in an image or in a video sequence. We address three important—but in our opinion
insufficiently investigated—aspects of saliency detection. Firstly, we start
by extending previous research on saliency which explicitly models the information provided from the context. Then, we show the importance of
explicit context modelling for saliency estimation. Several important works
in saliency are based on the usage of object proposals. However, these methods
focus on the saliency of the object proposal itself and ignore the context.
To introduce context in such saliency approaches, we couple every object
proposal with its direct context. This allows us to evaluate the importance
of the immediate surround (context) for its saliency. We propose several
saliency features which are computed from the context proposals including
features based on omni-directional and horizontal context continuity. Secondly,
we investigate the usage of top-downmethods (high-level semantic
information) for the task of saliency prediction since most computational
methods are bottom-up or only include few semantic classes. We propose
to consider a wider group of object classes. These objects represent important
semantic information which we will exploit in our saliency prediction
approach. Thirdly, we develop a method to detect video saliency by computing
saliency from supervoxels and optical flow. In addition, we apply the
context features developed in this thesis for video saliency detection. The
method combines shape and motion features with our proposed context
features. To summarize, we prove that extending object proposals with their
direct context improves the task of saliency detection in both image and
video data. Also the importance of the semantic information in saliency
estimation is evaluated. Finally, we propose a newmotion feature to detect
saliency in video data. The three proposed novelties are evaluated on standard
saliency benchmark datasets and are shown to improve with respect to
state-of-the-art.		  
  Address October 2018  
  Corporate Author Thesis Ph.D. thesis  
  Publisher Ediciones Graficas Rey Place of Publication Editor Joost Van de Weijer;Ali Douik  
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  Series Volume Series Issue Edition  
  ISSN ISBN 978-84-945373-9-4 Medium  
  Area (up) Expedition Conference  
  Notes LAMP; 600.120 Approved no  
  Call Number Admin @ si @ Aza2018 Serial 3218  
Permanent link to this record
 
 
Author C. Malagelada; Fosca De Iorio; Fernando Azpiroz; Anna Accarino; Santiago Segui; Petia Radeva; Juan R. Malagelada edit  openurl
  Title New Insight Into Intestinal Motor Function via Noninvasive Endoluminal Image Analysis Type Journal
  Year 2008 Publication Gastroenterology Abbreviated Journal  
  Volume 135 Issue 4 Pages 1155–1162  
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  Notes MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ MDA2008 Serial 1040  
Permanent link to this record
 
 
Author Sergio Escalera; Oriol Pujol; J. Mauri; Petia Radeva edit  doi
openurl 
  Title IVUS Tissue Characterization with Sub-class Error-correcting Output Codes Type Conference Article
  Year 2008 Publication Computer Vision and Pattern Recognition Workshops, 2008. CVPR Workshops 2008. IEEE Computer Society Conference on, pp. 1–8, 23–28 juny 2008. Abbreviated Journal  
  Volume Issue Pages  
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  Abstract Intravascular ultrasound (IVUS) represents a powerful imaging technique to explore coronary vessels and to study their morphology and histologic properties. In this paper, we characterize different tissues based on Radio Frequency, texture-based, slope-based, and combined features. To deal with the classification of multiple tissues, we require the use of robust multi-class learning techniques. In this context, we propose a strategy to model multi-class classification tasks using sub-classes information in the ECOC framework. The new strategy splits the classes into different subsets according to the applied base classifier. Complex IVUS data sets containing overlapping data are learnt by splitting the original set of classes into sub-classes, and embedding the binary problems in a problem-dependent ECOC design. The method automatically characterizes different tissues, showing performance improvements over the state-of-the-art ECOC techniques for different base classifiers and feature sets.  
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  ISSN ISBN Medium  
  Area (up) Expedition Conference CVPR  
  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ EPM2008 Serial 1041  
Permanent link to this record
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