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Author | Marçal Rusiñol; R.Roset; Josep Llados; C.Montaner | ||||
Title | Automatic Index Generation of Digitized Map Series by Coordinate Extraction and Interpretation | Type | Journal | ||
Year | 2011 | Publication | e-Perimetron | Abbreviated Journal | ePER |
Volume | 6 | Issue | 4 | Pages | 219-229 |
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Abstract | By means of computer vision algorithms scanned images of maps are processed in order to extract relevant geographic information from printed coordinate pairs. The meaningful information is then transformed into georeferencing information for each single map sheet, and the complete set is compiled to produce a graphical index sheet for the map series along with relevant metadata. The whole process is fully automated and trained to attain maximum effectivity and throughput. | ||||
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Notes | DAG | Approved | no | ||
Call Number | Admin @ si @ RRL2011a | Serial | 1765 | ||
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Author | Miguel Oliveira; Angel Sappa; V.Santos | ||||
Title | Unsupervised Local Color Correction for Coarsely Registered Images | Type | Conference Article | ||
Year | 2011 | Publication | IEEE conference on Computer Vision and Pattern Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 201-208 | ||
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Abstract | The current paper proposes a new parametric local color correction technique. Initially, several color transfer functions are computed from the output of the mean shift color segmentation algorithm. Secondly, color influence maps are calculated. Finally, the contribution of every color transfer function is merged using the weights from the color influence maps. The proposed approach is compared with both global and local color correction approaches. Results show that our method outperforms the technique ranked first in a recent performance evaluation on this topic. Moreover, the proposed approach is computed in about one tenth of the time. | ||||
Address | Colorado Springs | ||||
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ISSN | 1063-6919 | ISBN | 978-1-4577-0394-2 | Medium | |
Area | Expedition | Conference | CVPR | ||
Notes | ADAS | Approved | no | ||
Call Number | Admin @ si @ OSS2011; ADAS @ adas @ | Serial | 1766 | ||
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Author | Francesco Ciompi; Oriol Pujol; Simone Balocco; Xavier Carrillo; J. Mauri; Petia Radeva | ||||
Title | Automatic Key Frames Detection in Intravascular Ultrasound Sequences | Type | Conference Article | ||
Year | 2011 | Publication | In MICCAI 2011 Workshop on Computing and Visualization for Intra Vascular Imaging | Abbreviated Journal | |
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Abstract | We present a method for the automatic detection of key frames in Intravascular Ultrasound (IVUS) sequences. The key frames are markers delimiting morphological changes along the vessel. The aim of defining key frames is two-fold: (1) they allow to summarize the content of the pullback into few representative frames; (2) they represent the basis for the automatic detection of clinical events in IVUS. The proposed approach achieved a compression ratio of 0.016 with respect to the original sequence and an average inter-frame distance of 61.76 frame, minimizing the number of missed clinical events. | ||||
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Area | Expedition | Conference | CVII | ||
Notes | MILAB;HuPBA | Approved | no | ||
Call Number | Admin @ si @ CPB2011 | Serial | 1767 | ||
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Author | Miguel Reyes; Jose Ramirez Moreno; Juan R Revilla; Petia Radeva; Sergio Escalera | ||||
Title | ADiBAS: Sistema Multisensor de Adquisicion Automatica de Datos Corporales Objetivos, Robustos y Fiables para el Analisis de la Postura y el Movimiento | Type | Conference Article | ||
Year | 2011 | Publication | 6th Congreso Iberoamericano de Tecnologia de Apoyo a la Discapacidad | Abbreviated Journal | |
Volume | Issue | Pages | 939-944 | ||
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Abstract | El análisis de la postura y del rango de movimiento son fundamentales para conocer la optimización del gesto y mejorar, de este modo, el rendimiento y la detección de posibles lesiones. Esta cuantificación es especialmente interesante en deportistas o en pacientes que presentan alguna lesión neurológica o del sistema musculo-esquelético, ya que permite conocer el proceso evolutivo de estos pacientes, evaluar la eficacia de la terapia aplicada y proponer, en caso necesario, una modificación del protocolo de tratamiento.
En este trabajo presentamos un sistema automático que permite, mediante una tecnología no invasiva, la captación automática de marcadores LED situados sobre el paciente y su posterior análisis con el fin de mostrar al especialista datos objetivos que permitan un mejor soporte diagnóstico. También se describe un sistema analítico de la postura corporal sin marcadores, donde su ejecución durante secuencias dinámicas aporta un alto grado de naturalidad al paciente a la hora de realizar los ejercicios funcionales. |
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Address | Palma de Mallorca | ||||
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Area | Expedition | Conference | IBERDISCAP | ||
Notes | MILAB;HuPBA | Approved | no | ||
Call Number | Admin @ si @ RRR2011 | Serial | 1768 | ||
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Author | Victor Ponce; Mario Gorga; Xavier Baro; Sergio Escalera | ||||
Title | Human Behavior Analysis from Video Data Using Bag-of-Gestures | Type | Conference Article | ||
Year | 2011 | Publication | 22nd International Joint Conference on Artificial Intelligence | Abbreviated Journal | |
Volume | 3 | Issue | Pages | 2836-2837 | |
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Abstract | Human Behavior Analysis in Uncontrolled Environments can be categorized in two main challenges: 1) Feature extraction and 2) Behavior analysis from a set of corporal language vocabulary. In this work, we present our achievements characterizing some simple behaviors from visual data on different real applications and discuss our plan for future work: low level vocabulary definition from bag-of-gesture units and high level modelling and inference of human behaviors. | ||||
Address | Barcelona | ||||
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ISSN | ISBN | 978-1-57735-516-8 | Medium | ||
Area | Expedition | Conference | IJCAI | ||
Notes | HuPBA;MV | Approved | no | ||
Call Number | Admin @ si @ PGB2011b | Serial | 1770 | ||
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Author | Oscar Amoros; Sergio Escalera; Anna Puig | ||||
Title | Adaboost GPU-based Classifier for Direct Volume Rendering | Type | Conference Article | ||
Year | 2011 | Publication | International Conference on Computer Graphics Theory and Applications | Abbreviated Journal | |
Volume | Issue | Pages | 215-219 | ||
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Abstract | In volume visualization, the voxel visibitity and materials are carried out through an interactive editing of Transfer Function. In this paper, we present a two-level GPU-based labeling method that computes in times of rendering a set of labeled structures using the Adaboost machine learning classifier. In a pre-processing step, Adaboost trains a binary classifier from a pre-labeled dataset and, in each sample, takes into account a set of features. This binary classifier is a weighted combination of weak classifiers, which can be expressed as simple decision functions estimated on a single feature values. Then, at the testing stage, each weak classifier is independently applied on the features of a set of unlabeled samples. We propose an alternative representation of these classifiers that allow a GPU-based parallelizated testing stage embedded into the visualization pipeline. The empirical results confirm the OpenCL-based classification of biomedical datasets as a tough problem where an opportunity for further research emerges. | ||||
Address | Algarve, Portugal | ||||
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Area | Expedition | Conference | GRAPP | ||
Notes | MILAB; HuPBA | Approved | no | ||
Call Number | Admin @ si @ AEP2011 | Serial | 1774 | ||
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Author | Miguel Angel Bautista; Sergio Escalera; Xavier Baro; Oriol Pujol; Jordi Vitria; Petia Radeva | ||||
Title | Compact Evolutive Design of Error-Correcting Output Codes. Supervised and Unsupervised Ensemble Methods and Applications | Type | Conference Article | ||
Year | 2010 | Publication | European Conference on Machine Learning | Abbreviated Journal | |
Volume | I | Issue | Pages | 119-128 | |
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Area | Expedition | Conference | ECML | ||
Notes | MILAB; OR;HUPBA;MV | Approved | no | ||
Call Number | Admin @ si @ BEB2010 | Serial | 1775 | ||
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Author | Noha Elfiky; Fahad Shahbaz Khan; Joost Van de Weijer; Jordi Gonzalez | ||||
Title | Discriminative Compact Pyramids for Object and Scene Recognition | Type | Journal Article | ||
Year | 2012 | Publication | Pattern Recognition | Abbreviated Journal | PR |
Volume | 45 | Issue | 4 | Pages | 1627-1636 |
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Abstract | Spatial pyramids have been successfully applied to incorporating spatial information into bag-of-words based image representation. However, a major drawback is that it leads to high dimensional image representations. In this paper, we present a novel framework for obtaining compact pyramid representation. First, we investigate the usage of the divisive information theoretic feature clustering (DITC) algorithm in creating a compact pyramid representation. In many cases this method allows us to reduce the size of a high dimensional pyramid representation up to an order of magnitude with little or no loss in accuracy. Furthermore, comparison to clustering based on agglomerative information bottleneck (AIB) shows that our method obtains superior results at significantly lower computational costs. Moreover, we investigate the optimal combination of multiple features in the context of our compact pyramid representation. Finally, experiments show that the method can obtain state-of-the-art results on several challenging data sets. | ||||
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ISSN | 0031-3203 | ISBN | Medium | ||
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Notes | ISE; CAT;CIC | Approved | no | ||
Call Number | Admin @ si @ EKW2012 | Serial | 1807 | ||
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Author | Arnau Ramisa; David Aldavert; Shrihari Vasudevan; Ricardo Toledo; Ramon Lopez de Mantaras | ||||
Title | The IIIA30 MObile Robot Object Recognition Datset | Type | Conference Article | ||
Year | 2011 | Publication | 11th Portuguese Robotics Open | Abbreviated Journal | |
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Abstract | Object perception is a key feature in order to make mobile robots able to perform high-level tasks. However, research aimed at addressing the constraints and limitations encountered in a mobile robotics scenario, like low image resolution, motion blur or tight computational constraints, is still very scarce. In order to facilitate future research in this direction, in this work we present an object detection and recognition dataset acquired using a mobile robotic platform. As a baseline for the dataset, we evaluated the cascade of weak classifiers object detection method from Viola and Jones. | ||||
Address | Lisboa | ||||
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Area | Expedition | Conference | Robotica | ||
Notes | RV;ADAS | Approved | no | ||
Call Number | Admin @ si @ RAV2011 | Serial | 1777 | ||
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Author | Carolina Malagelada; F.De Lorio; Fernando Azpiroz; Santiago Segui; Petia Radeva; Anna Accarino; J.Santos; Juan R. Malagelada | ||||
Title | Intestinal Dysmotility in Patients with Functional Intestinal Disorders Demonstrated by Computer Vision Analysis of Capsule Endoscopy Images | Type | Conference Article | ||
Year | 2010 | Publication | 18th United European Gastroenterology Week | Abbreviated Journal | |
Volume | 56 | Issue | 3 | Pages | A19-20 |
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Address | Barcelona | ||||
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Area | Expedition | Conference | UEGW | ||
Notes | MILAB | Approved | no | ||
Call Number | Admin @ si @ MLA2010 | Serial | 1779 | ||
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Author | Koen E.A. van de Sande; Jasper Uilings; Theo Gevers; Arnold Smeulders | ||||
Title | Segmentation as Selective Search for Object Recognition | Type | Conference Article | ||
Year | 2011 | Publication | 13th IEEE International Conference on Computer Vision | Abbreviated Journal | |
Volume | Issue | Pages | 1879-1886 | ||
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Abstract | For object recognition, the current state-of-the-art is based on exhaustive search. However, to enable the use of more expensive features and classifiers and thereby progress beyond the state-of-the-art, a selective search strategy is needed. Therefore, we adapt segmentation as a selective search by reconsidering segmentation: We propose to generate many approximate locations over few and precise object delineations because (1) an object whose location is never generated can not be recognised and (2) appearance and immediate nearby context are most effective for object recognition. Our method is class-independent and is shown to cover 96.7% of all objects in the Pascal VOC 2007 test set using only 1,536 locations per image. Our selective search enables the use of the more expensive bag-of-words method which we use to substantially improve the state-of-the-art by up to 8.5% for 8 out of 20 classes on the Pascal VOC 2010 detection challenge. | ||||
Address | Barcelona | ||||
Corporate Author | Thesis | ||||
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ISSN | 1550-5499 | ISBN | 978-1-4577-1101-5 | Medium | |
Area | Expedition | Conference | ICCV | ||
Notes | ISE | Approved | no | ||
Call Number | Admin @ si @ SUG2011 | Serial | 1780 | ||
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Author | Shida Beigpour; Joost Van de Weijer | ||||
Title | Object Recoloring Based on Intrinsic Image Estimation | Type | Conference Article | ||
Year | 2011 | Publication | 13th IEEE International Conference in Computer Vision | Abbreviated Journal | |
Volume | Issue | Pages | 327 - 334 | ||
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Abstract | Object recoloring is one of the most popular photo-editing tasks. The problem of object recoloring is highly under-constrained, and existing recoloring methods limit their application to objects lit by a white illuminant. Application of these methods to real-world scenes lit by colored illuminants, multiple illuminants, or interreflections, results in unrealistic recoloring of objects. In this paper, we focus on the recoloring of single-colored objects presegmented from their background. The single-color constraint allows us to fit a more comprehensive physical model to the object. We demonstrate that this permits us to perform realistic recoloring of objects lit by non-white illuminants, and multiple illuminants. Moreover, the model allows for more realistic handling of illuminant alteration of the scene. Recoloring results captured by uncalibrated cameras demonstrate that the proposed framework obtains realistic recoloring for complex natural images. Furthermore we use the model to transfer color between objects and show that the results are more realistic than existing color transfer methods. | ||||
Address | Barcelona | ||||
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ISSN | 1550-5499 | ISBN | 978-1-4577-1101-5 | Medium | |
Area | Expedition | Conference | ICCV | ||
Notes | CIC | Approved | no | ||
Call Number | Admin @ si @ BeW2011 | Serial | 1781 | ||
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Author | Joan M. Nuñez | ||||
Title | Computer vision techniques for characterization of finger joints in X-ray image | Type | Report | ||
Year | 2011 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | 165 | Issue | Pages | ||
Keywords | Rheumatoid arthritis, X-ray, Sharp Van der Heijde, joint characterization, sclerosis detection, bone detection, edge, ridge | ||||
Abstract | Rheumatoid arthritis (RA) is an autoimmune inflammatory type of arthritis which mainly affects hands on its first stages. Though it is a chronic disease and there is no cure for it, treatments require an accurate assessment of illness evolution. Such assessment is based on evaluation of hand X-ray images by using one of the several available semi-quantitative methods. This task requires highly trained medical personnel. That is why the automation of the assessment would allow professionals to save time and effort. Two stages are involved in this task. Firstly, the joint detection, afterwards, the joint characterization. Unlike the little existing previous work, this contribution clearly separates those two stages and sets the foundations of a modular assessment system focusing on the characterization stage. A hand joint dataset is created and an accurate data analysis is achieved in order to identify relevant features. Since the sclerosis and the lower bone were decided to be the most important features, different computer vision techniques were used in order to develop a detector system for both of them. Joint space width measures are provided and their correlation with Sharp-Van der Heijde is verified | ||||
Address | Bellaterra (Barcelona) | ||||
Corporate Author | Computer Vision Center | Thesis | Master's thesis | ||
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Place of Publication | Editor | Dr. Fernando Vilariño and Dra. Debora Gil | ||
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Notes | MV;IAM; | Approved | no | ||
Call Number | IAM @ iam @ Nuñ2011 | Serial | 1795 | ||
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Author | Mohammad Rouhani; Angel Sappa | ||||
Title | Implicit B-Spline Fitting Using the 3L Algorithm | Type | Conference Article | ||
Year | 2011 | Publication | 18th IEEE International Conference on Image Processing | Abbreviated Journal | |
Volume | Issue | Pages | 893-896 | ||
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Address | Brussels, Belgium | ||||
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Area | Expedition | Conference | ICIP | ||
Notes | ADAS | Approved | no | ||
Call Number | Admin @ si @ RoS2011a; ADAS @ adas @ | Serial | 1782 | ||
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Author | Victor Ponce; Mario Gorga; Xavier Baro; Petia Radeva; Sergio Escalera | ||||
Title | Analisis de la Expresion Oral y Gestual en Proyectos Fin de Carrera Via un Sistema de Vision Artificial | Type | Miscellaneous | ||
Year | 2011 | Publication | Revista electronica de la asociacion de enseñantes universitarios de la informatica AENUI | Abbreviated Journal | ReVision |
Volume | 4 | Issue | 1 | Pages | 8-18 |
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Abstract | 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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ISSN | 1989-1199 | ISBN | Medium | ||
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Notes | MILAB;HuPBA;MV | Approved | no | ||
Call Number | Admin @ si @ PGB2011c | Serial | 1783 | ||
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