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| Author | Jaume Amores; Petia Radeva | ||||
| Title | Registration and Retrieval of Highly Elastic Bodies using Contextual Information | Type | Journal Article | ||
| Year | 2005 | Publication | Pattern Recognition Letters | Abbreviated Journal | PRL |
| Volume | 26 | Issue | 11 | Pages | 1720–1731 |
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| Abstract | IF: 1.138 | ||||
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| Notes | ADAS;MILAB | Approved | no | ||
| Call Number | ADAS @ adas @ AmR2005b | Serial | 592 | ||
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| Author | Oriol Ramos Terrades; Ernest Valveny | ||||
| Title | A new use of the ridgelets transform for describing linear singularities in images | Type | Journal Article | ||
| Year | 2006 | Publication | Pattern Recognition Letters | Abbreviated Journal | PRL |
| Volume | 27 | Issue | 6 | Pages | 587–596 |
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| Notes | DAG | Approved | no | ||
| Call Number | DAG @ dag @ RaV2006a | Serial | 635 | ||
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| Author | Jaume Amores; N. Sebe; Petia Radeva | ||||
| Title | Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier | Type | Journal Article | ||
| Year | 2006 | Publication | Pattern Recognition Letters | Abbreviated Journal | PRL |
| Volume | 27 | Issue | 3 | Pages | 201–209 |
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| Notes | ADAS;MILAB | Approved | no | ||
| Call Number | ADAS @ adas @ ASR2006 | Serial | 643 | ||
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| Author | Fernando Vilariño; Ludmila I. Kuncheva; Petia Radeva | ||||
| Title | ROC curves and video analysis optimization in intestinal capsule endoscopy | Type | Journal Article | ||
| Year | 2006 | Publication | Pattern Recognition Letters | Abbreviated Journal | PRL |
| Volume | 27 | Issue | 8 | Pages | 875–881 |
| Keywords | ROC curves; Classification; Classifiers ensemble; Detection of intestinal contractions; Imbalanced classes; Wireless capsule endoscopy | ||||
| Abstract | Wireless capsule endoscopy involves inspection of hours of video material by a highly qualified professional. Time episodes corresponding to intestinal contractions, which are of interest to the physician constitute about 1% of the video. The problem is to label automatically time episodes containing contractions so that only a fraction of the video needs inspection. As the classes of contraction and non-contraction images in the video are largely imbalanced, ROC curves are used to optimize the trade-off between false positive and false negative rates. Classifier ensemble methods and simple classifiers were examined. Our results reinforce the claims from recent literature that classifier ensemble methods specifically designed for imbalanced problems have substantial advantages over simple classifiers and standard classifier ensembles. By using ROC curves with the bagging ensemble method the inspection time can be drastically reduced at the expense of a small fraction of missed contractions. | ||||
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| Area | 800 | Expedition | Conference | ||
| Notes | MILAB;MV;SIAI | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ VKR2006; IAM @ iam @ VKR2006 | Serial | 647 | ||
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| Author | Angel Sappa; David Geronimo; Fadi Dornaika; Antonio Lopez | ||||
| Title | On-board camera extrinsic parameter estimation | Type | Journal Article | ||
| Year | 2006 | Publication | Electronics Letters | Abbreviated Journal | EL |
| Volume | 42 | Issue | 13 | Pages | 745–746 |
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| Abstract | An efficient technique for real-time estimation of camera extrinsic parameters is presented. It is intended to be used on on-board vision systems for driving assistance applications. The proposed technique is based on the use of a commercial stereo vision system that does not need any visual feature extraction. | ||||
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| Publisher | IEE | Place of Publication | Editor | ||
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ SGD2006a | Serial | 655 | ||
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| Author | Xavier Otazu; Oriol Pujol | ||||
| Title | Wavelet based approach to cluster analysis. Application on low dimensional data sets | Type | Journal Article | ||
| Year | 2006 | Publication | Pattern Recognition Letters | Abbreviated Journal | PRL |
| Volume | 27 | Issue | 14 | Pages | 1590–1605 |
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| Notes | MILAB; CIC; HuPBA | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ OtP2006 | Serial | 658 | ||
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| Author | Jaume Amores | ||||
| Title | Multiple Instance Classification: review, taxonomy and comparative study | Type | Journal Article | ||
| Year | 2013 | Publication | Artificial Intelligence | Abbreviated Journal | AI |
| Volume | 201 | Issue | Pages | 81-105 | |
| Keywords | Multi-instance learning; Codebook; Bag-of-Words | ||||
| Abstract | Multiple Instance Learning (MIL) has become an important topic in the pattern recognition community, and many solutions to this problemhave been proposed until now. Despite this fact, there is a lack of comparative studies that shed light into the characteristics and behavior of the different methods. In this work we provide such an analysis focused on the classification task (i.e.,leaving out other learning tasks such as regression). In order to perform our study, we implemented
fourteen methods grouped into three different families. We analyze the performance of the approaches across a variety of well-known databases, and we also study their behavior in synthetic scenarios in order to highlight their characteristics. As a result of this analysis, we conclude that methods that extract global bag-level information show a clearly superior performance in general. In this sense, the analysis permits us to understand why some types of methods are more successful than others, and it permits us to establish guidelines in the design of new MIL methods. |
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| Publisher | Elsevier Science Publishers Ltd. Essex, UK | Place of Publication | Editor | ||
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| ISSN | 0004-3702 | ISBN | Medium | ||
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| Notes | ADAS; 601.042; 600.057 | Approved | no | ||
| Call Number | Admin @ si @ Amo2013 | Serial | 2273 | ||
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| Author | Jaume Amores | ||||
| Title | MILDE: multiple instance learning by discriminative embedding | Type | Journal Article | ||
| Year | 2015 | Publication | Knowledge and Information Systems | Abbreviated Journal | KAIS |
| Volume | 42 | Issue | 2 | Pages | 381-407 |
| Keywords | Multi-instance learning; Codebook; Bag of words | ||||
| Abstract | While the objective of the standard supervised learning problem is to classify feature vectors, in the multiple instance learning problem, the objective is to classify bags, where each bag contains multiple feature vectors. This represents a generalization of the standard problem, and this generalization becomes necessary in many real applications such as drug activity prediction, content-based image retrieval, and others. While the existing paradigms are based on learning the discriminant information either at the instance level or at the bag level, we propose to incorporate both levels of information. This is done by defining a discriminative embedding of the original space based on the responses of cluster-adapted instance classifiers. Results clearly show the advantage of the proposed method over the state of the art, where we tested the performance through a variety of well-known databases that come from real problems, and we also included an analysis of the performance using synthetically generated data. | ||||
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| Publisher | Springer London | Place of Publication | Editor | ||
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| Series Volume | Series Issue | Edition | |||
| ISSN | 0219-1377 | ISBN | Medium | ||
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| Notes | ADAS; 601.042; 600.057; 600.076 | Approved | no | ||
| Call Number | Admin @ si @ Amo2015 | Serial | 2383 | ||
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| Author | Albert Gordo; Florent Perronnin; Yunchao Gong; Svetlana Lazebnik | ||||
| Title | Asymmetric Distances for Binary Embeddings | Type | Journal Article | ||
| Year | 2014 | Publication | IEEE Transactions on Pattern Analysis and Machine Intelligence | Abbreviated Journal | TPAMI |
| Volume | 36 | Issue | 1 | Pages | 33-47 |
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| Abstract | In large-scale query-by-example retrieval, embedding image signatures in a binary space offers two benefits: data compression and search efficiency. While most embedding algorithms binarize both query and database signatures, it has been noted that this is not strictly a requirement. Indeed, asymmetric schemes which binarize the database signatures but not the query still enjoy the same two benefits but may provide superior accuracy. In this work, we propose two general asymmetric distances which are applicable to a wide variety of embedding techniques including Locality Sensitive Hashing (LSH), Locality Sensitive Binary Codes (LSBC), Spectral Hashing (SH), PCA Embedding (PCAE), PCA Embedding with random rotations (PCAE-RR), and PCA Embedding with iterative quantization (PCAE-ITQ). We experiment on four public benchmarks containing up to 1M images and show that the proposed asymmetric distances consistently lead to large improvements over the symmetric Hamming distance for all binary embedding techniques. | ||||
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| ISSN | 0162-8828 | ISBN | Medium | ||
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| Notes | DAG; 600.045; 605.203; 600.077 | Approved | no | ||
| Call Number | Admin @ si @ GPG2014 | Serial | 2272 | ||
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| Author | Fadi Dornaika; Angel Sappa | ||||
| Title | Rigid and Non-rigid Face Motion Tracking by Aligning Texture Maps and Stereo 3D Models | Type | Journal Article | ||
| Year | 2007 | Publication | Pattern Recognition Letters | Abbreviated Journal | PRL |
| Volume | 28 | Issue | 15 | Pages | 2116-2126 |
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ DoS2007c | Serial | 877 | ||
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| Author | Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez | ||||
| Title | Rank Estimation in 3D Multibody Motion Segmentation | Type | Journal Article | ||
| Year | 2008 | Publication | Electronic Letters | Abbreviated Journal | |
| Volume | 44 | Issue | 4 | Pages | 279-280 |
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| Abstract | A novel technique for rank estimation in 3D multibody motion segmentation is proposed. It is based on the study of the frequency spectra of moving rigid objects and does not use or assume a prior knowledge of the objects contained in the scene (i.e. number of objects and motion). The significance of rank estimation on multibody motion segmentation results is shown by using two motion segmentation algorithms over both synthetic and real data. | ||||
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ JSL2008a | Serial | 939 | ||
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| Author | Joan Serrat; Ferran Diego; Felipe Lumbreras; Jose Manuel Alvarez; Antonio Lopez; C. Elvira | ||||
| Title | Dynamic Comparison of Headlights | Type | Journal Article | ||
| Year | 2008 | Publication | Journal of Automobile Engineering | Abbreviated Journal | |
| Volume | 222 | Issue | 5 | Pages | 643–656 |
| Keywords | video alignment | ||||
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ SDL2008a | Serial | 958 | ||
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| Author | Francisco Javier Orozco; Xavier Roca; Jordi Gonzalez | ||||
| Title | Real-Time Gaze Tracking with Appearance-Based Models | Type | Journal Article | ||
| Year | 2008 | Publication | Machine Vision Applications | Abbreviated Journal | MVAP |
| Volume | 20 | Issue | 6 | Pages | 353-364 |
| Keywords | Keywords Eyelid and iris tracking, Appearance models, Blinking, Iris saccade, Real-time gaze tracking | ||||
| Abstract | Psychological evidence has emphasized the importance of eye gaze analysis in human computer interaction and emotion interpretation. To this end, current image analysis algorithms take into consideration eye-lid and iris motion detection using colour information and edge detectors. However, eye movement is fast and and hence difficult to use to obtain a precise and robust tracking. Instead, our
method proposed to describe eyelid and iris movements as continuous variables using appearance-based tracking. This approach combines the strengths of adaptive appearance models, optimization methods and backtracking techniques.Thus, in the proposed method textures are learned on-line from near frontal images and illumination changes, occlusions and fast movements are managed. The method achieves real-time performance by combining two appearance-based trackers to a backtracking algorithm for eyelid estimation and another for iris estimation. These contributions represent a significant advance towards a reliable gaze motion description for HCI and expression analysis, where the strength of complementary methodologies are combined to avoid using high quality images, colour information, texture training, camera settings and other time-consuming processes. |
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| Notes | ISE | Approved | no | ||
| Call Number | ISE @ ise @ ORG2008 | Serial | 972 | ||
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| Author | Angel Sappa; Fadi Dornaika; Daniel Ponsa; David Geronimo; Antonio Lopez | ||||
| Title | An Efficient Approach to Onboard Stereo Vision System Pose Estimation | Type | Journal Article | ||
| Year | 2008 | Publication | IEEE Transactions on Intelligent Transportation Systems | Abbreviated Journal | TITS |
| Volume | 9 | Issue | 3 | Pages | 476–490 |
| Keywords | Camera extrinsic parameter estimation, ground plane estimation, onboard stereo vision system | ||||
| Abstract | This paper presents an efficient technique for estimating the pose of an onboard stereo vision system relative to the environment’s dominant surface area, which is supposed to be the road surface. Unlike previous approaches, it can be used either for urban or highway scenarios since it is not based on a specific visual traffic feature extraction but on 3-D raw data points. The whole process is performed in the Euclidean space and consists of two stages. Initially, a compact 2-D representation of the original 3-D data points is computed. Then, a RANdom SAmple Consensus (RANSAC) based least-squares approach is used to fit a plane to the road. Fast RANSAC fitting is obtained by selecting points according to a probability function that takes into account the density of points at a given depth. Finally, stereo camera height and pitch angle are computed related to the fitted road plane. The proposed technique is intended to be used in driverassistance systems for applications such as vehicle or pedestrian detection. Experimental results on urban environments, which are the most challenging scenarios (i.e., flat/uphill/downhill driving, speed bumps, and car’s accelerations), are presented. These results are validated with manually annotated ground truth. Additionally, comparisons with previous works are presented to show the improvements in the central processing unit processing time, as well as in the accuracy of the obtained results. | ||||
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| Publisher | IEEE | Place of Publication | Editor | ||
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ SDP2008 | Serial | 1000 | ||
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| Author | Jaume Garcia; Debora Gil; Sandra Pujades; Francesc Carreras | ||||
| 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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