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Author | Thanh Ha Do; Salvatore Tabbone; Oriol Ramos Terrades | ||||
Title | Spotting Symbol Using Sparsity over Learned Dictionary of Local Descriptors | Type | Conference Article | ||
Year | 2014 | Publication | 11th IAPR International Workshop on Document Analysis and Systems | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
156-160 | ||
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Abstract | This paper proposes a new approach to spot symbols into graphical documents using sparse representations. More specifically, a dictionary is learned from a training database of local descriptors defined over the documents. Following their sparse representations, interest points sharing similar properties are used to define interest regions. Using an original adaptation of information retrieval techniques, a vector model for interest regions and for a query symbol is built based on its sparsity in a visual vocabulary where the visual words are columns in the learned dictionary. The matching process is performed comparing the similarity between vector models. Evaluation on SESYD datasets demonstrates that our method is promising. | ||||
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ISSN | ISBN | 978-1-4799-3243-6 | Medium | ||
Area | Expedition | Conference | DAS | ||
Notes | DAG; 600.077 | Approved | no | ||
Call Number | Admin @ si @ DTR2014 | Serial | 2543 | ||
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Author | Fadi Dornaika; Bogdan Raducanu | ||||
Title | Analysis and Recognition of Facial Expressions in Videos Using Facial Shape Deformation | Type | Book Chapter | ||
Year | 2012 | Publication | Facial Expressions: Dynamic Patterns, Impairments and Social Perceptions | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
157-178 | ||
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Publisher | NOVA Publishers | Place of Publication | Editor | S.E. Carter | |
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Notes | OR;MV | Approved | no | ||
Call Number | Admin @ si @ DoR2012 | Serial | 2183 | ||
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Author | Enric Marti; Jordi Regincos; Juan Jose Villanueva; Jaime Lopez-Krahe | ||||
Title | Line drawing interpretation as polyhedral objects to man-machine interaction in CAD systems | Type | Book Chapter | ||
Year | 1994 | Publication | Advances in Pattern Recognition and Image Analysis, | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
158-169 | ||
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Publisher | World Scientific Pub. | Place of Publication | Editor | ||
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ISSN | ISBN | 981-02-1872-9 | Medium | ||
Area | Expedition | Conference | |||
Notes | IAM;ISE | Approved | no | ||
Call Number | IAM @ iam @ MRL1994 | Serial | 1609 | ||
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Author | Tadashi Araki; Nobutaka Ikeda; Nilanjan Dey; Sayan Chakraborty; Luca Saba; Dinesh Kumar; Elisa Cuadrado Godia; Xiaoyi Jiang; Ajay Gupta; Petia Radeva; John R. Laird; Andrew Nicolaides; Jasjit S. Suri | ||||
Title | A comparative approach of four different image registration techniques for quantitative assessment of coronary artery calcium lesions using intravascular ultrasound | Type | Journal Article | ||
Year | 2015 | Publication | Computer Methods and Programs in Biomedicine | Abbreviated Journal | CMPB |
Volume | 118 | Issue | 2 | Pages ![]() |
158-172 |
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Notes | MILAB | Approved | no | ||
Call Number | Admin @ si @ AID2015 | Serial | 2640 | ||
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Author | Carlo Gatta; Simone Balocco; Victoria Martin Yuste; Ruben Leta; Petia Radeva | ||||
Title | Non-rigid Multi-modal Registration of Coronary Arteries Using SIFTflow | Type | Conference Article | ||
Year | 2011 | Publication | 5th Iberian Conference on Pattern Recognition and Image Analysis | Abbreviated Journal | |
Volume | 6669 | Issue | Pages ![]() |
159-166 | |
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Abstract | The fusion of clinically relevant information coming from different image modalities is an important topic in medical imaging. In particular, different cardiac imaging modalities provides complementary information for the physician: Computer Tomography Angiography (CTA) provides reliable pre-operative information on arteries geometry, even in the presence of chronic total occlusions, while X-Ray Angiography (XRA) allows intra-operative high resolution projections of a specific artery. The non-rigid registration of arteries between these two modalities is a difficult task. In this paper we propose the use of SIFTflow, in registering CTA and XRA images. At the best of our knowledge, this paper proposed SIFTflow as a XRay-CTA registration method for the first time in the literature. To highlight the arteries, so to guide the registration process, the well known Vesselness method has been employed. Results confirm that, to the aim of registration, the arteries must be highlighted and background objects removed as much as possible. Moreover, the comparison with the well known Free Form Deformation technique, suggests that SIFTflow has a great potential in the registration of multi-modal medical images. | ||||
Address | Las Palmas de Gran Canaria. Spain | ||||
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Publisher | Springer Berlin Heidelberg | Place of Publication | Berlin | Editor | Jordi Vitria; Joao Miguel Sanches; Mario Hernandez |
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
Series Volume | Series Issue | Edition | |||
ISSN | 0302-9743 | ISBN | 978-3-642-21256-7 | Medium | |
Area | Expedition | Conference | IbPRIA | ||
Notes | MILAB | Approved | no | ||
Call Number | Admin @ si @ GBM2011 | Serial | 1752 | ||
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Author | David Roche; Debora Gil; Jesus Giraldo | ||||
Title | Mathematical modeling of G protein-coupled receptor function: What can we learn from empirical and mechanistic models? | Type | Book Chapter | ||
Year | 2014 | Publication | G Protein-Coupled Receptors – Modeling and Simulation Advances in Experimental Medicine and Biology | Abbreviated Journal | |
Volume | 796 | Issue | 3 | Pages ![]() |
159-181 |
Keywords | β-arrestin; biased agonism; curve fitting; empirical modeling; evolutionary algorithm; functional selectivity; G protein; GPCR; Hill coefficient; intrinsic efficacy; inverse agonism; mathematical modeling; mechanistic modeling; operational model; parameter optimization; receptor dimer; receptor oligomerization; receptor constitutive activity; signal transduction; two-state model | ||||
Abstract | Empirical and mechanistic models differ in their approaches to the analysis of pharmacological effect. Whereas the parameters of the former are not physical constants those of the latter embody the nature, often complex, of biology. Empirical models are exclusively used for curve fitting, merely to characterize the shape of the E/[A] curves. Mechanistic models, on the contrary, enable the examination of mechanistic hypotheses by parameter simulation. Regretfully, the many parameters that mechanistic models may include can represent a great difficulty for curve fitting, representing, thus, a challenge for computational method development. In the present study some empirical and mechanistic models are shown and the connections, which may appear in a number of cases between them, are analyzed from the curves they yield. It may be concluded that systematic and careful curve shape analysis can be extremely useful for the understanding of receptor function, ligand classification and drug discovery, thus providing a common language for the communication between pharmacologists and medicinal chemists. | ||||
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Publisher | Springer Netherlands | Place of Publication | Editor | ||
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Series Volume | Series Issue | Edition | |||
ISSN | 0065-2598 | ISBN | 978-94-007-7422-3 | Medium | |
Area | Expedition | Conference | |||
Notes | IAM; 600.075 | Approved | no | ||
Call Number | IAM @ iam @ RGG2014 | Serial | 2197 | ||
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Author | Jiaolong Xu; Sebastian Ramos; David Vazquez; Antonio Lopez | ||||
Title | Hierarchical Adaptive Structural SVM for Domain Adaptation | Type | Journal Article | ||
Year | 2016 | Publication | International Journal of Computer Vision | Abbreviated Journal | IJCV |
Volume | 119 | Issue | 2 | Pages ![]() |
159-178 |
Keywords | Domain Adaptation; Pedestrian Detection | ||||
Abstract | A key topic in classification is the accuracy loss produced when the data distribution in the training (source) domain differs from that in the testing (target) domain. This is being recognized as a very relevant problem for many
computer vision tasks such as image classification, object detection, and object category recognition. In this paper, we present a novel domain adaptation method that leverages multiple target domains (or sub-domains) in a hierarchical adaptation tree. The core idea is to exploit the commonalities and differences of the jointly considered target domains. Given the relevance of structural SVM (SSVM) classifiers, we apply our idea to the adaptive SSVM (A-SSVM), which only requires the target domain samples together with the existing source-domain classifier for performing the desired adaptation. Altogether, we term our proposal as hierarchical A-SSVM (HA-SSVM). As proof of concept we use HA-SSVM for pedestrian detection, object category recognition and face recognition. In the former we apply HA-SSVM to the deformable partbased model (DPM) while in the rest HA-SSVM is applied to multi-category classifiers. We will show how HA-SSVM is effective in increasing the detection/recognition accuracy with respect to adaptation strategies that ignore the structure of the target data. Since, the sub-domains of the target data are not always known a priori, we shown how HA-SSVM can incorporate sub-domain discovery for object category recognition. |
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Publisher | Springer US | Place of Publication | Editor | ||
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Series Volume | Series Issue | Edition | |||
ISSN | 0920-5691 | ISBN | Medium | ||
Area | Expedition | Conference | |||
Notes | ADAS; 600.085; 600.082; 600.076 | Approved | no | ||
Call Number | Admin @ si @ XRV2016 | Serial | 2669 | ||
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Author | Panagiota Spyridonos; Fernando Vilariño; Jordi Vitria; Fernando Azpiroz; Petia Radeva | ||||
Title | Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal Contractions | Type | Book Chapter | ||
Year | 2006 | Publication | 9th International Conference on Medical Image Computing and Computer–Assisted Intervention | Abbreviated Journal | |
Volume | 4191 | Issue | Pages ![]() |
161–168 | |
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Abstract | Wireless endoscopy is a very recent and at the same time unique technique allowing to visualize and study the occurrence of con- tractions and to analyze the intestine motility. Feature extraction is es- sential for getting efficient patterns to detect contractions in wireless video endoscopy of small intestine. We propose a novel method based on anisotropic image filtering and efficient statistical classification of con- traction features. In particular, we apply the image gradient tensor for mining informative skeletons from the original image and a sequence of descriptors for capturing the characteristic pattern of contractions. Fea- tures extracted from the endoluminal images were evaluated in terms of their discriminatory ability in correct classifying images as either belong- ing to contractions or not. Classification was performed by means of a support vector machine classifier with a radial basis function kernel. Our classification rates gave sensitivity of the order of 90.84% and specificity of the order of 94.43% respectively. These preliminary results highlight the high efficiency of the selected descriptors and support the feasibility of the proposed method in assisting the automatic detection and analysis of contractions. | ||||
Address | Copenhagen (Denmark) | ||||
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Publisher | Springer Verlag | Place of Publication | Berlin Heidelberg | Editor | R. Larsen, M. Nielsen, and J. Sporring |
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Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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ISSN | ISBN | Medium | |||
Area | 800 | Expedition | Conference | MICCAI06 | |
Notes | MV;OR;MILAB;SIAI | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ SVV2006; IAM @ iam @ SVV2006 | Serial | 725 | ||
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Author | Thanh Ha Do; Salvatore Tabbone; Oriol Ramos Terrades | ||||
Title | Document noise removal using sparse representations over learned dictionary | Type | Conference Article | ||
Year | 2013 | Publication | Symposium on Document engineering | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
161-168 | ||
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Abstract | best paper award
In this paper, we propose an algorithm for denoising document images using sparse representations. Following a training set, this algorithm is able to learn the main document characteristics and also, the kind of noise included into the documents. In this perspective, we propose to model the noise energy based on the normalized cross-correlation between pairs of noisy and non-noisy documents. Experimental results on several datasets demonstrate the robustness of our method compared with the state-of-the-art. |
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Address | Barcelona; October 2013 | ||||
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ISSN | ISBN | 978-1-4503-1789-4 | Medium | ||
Area | Expedition | Conference | ACM-DocEng | ||
Notes | DAG; 600.061 | Approved | no | ||
Call Number | Admin @ si @ DTR2013a | Serial | 2330 | ||
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Author | Maria Elena Meza-de-Luna; Juan Ramon Terven Salinas; Bogdan Raducanu; Joaquin Salas | ||||
Title | Assessing the Influence of Mirroring on the Perception of Professional Competence using Wearable Technology | Type | Journal Article | ||
Year | 2016 | Publication | IEEE Transactions on Affective Computing | Abbreviated Journal | TAC |
Volume | 9 | Issue | 2 | Pages ![]() |
161-175 |
Keywords | Mirroring; Nodding; Competence; Perception; Wearable Technology | ||||
Abstract | Nonverbal communication is an intrinsic part in daily face-to-face meetings. A frequently observed behavior during social interactions is mirroring, in which one person tends to mimic the attitude of the counterpart. This paper shows that a computer vision system could be used to predict the perception of competence in dyadic interactions through the automatic detection of mirroring
events. To prove our hypothesis, we developed: (1) A social assistant for mirroring detection, using a wearable device which includes a video camera and (2) an automatic classifier for the perception of competence, using the number of nodding gestures and mirroring events as predictors. For our study, we used a mixed-method approach in an experimental design where 48 participants acting as customers interacted with a confederated psychologist. We found that the number of nods or mirroring events has a significant influence on the perception of competence. Our results suggest that: (1) Customer mirroring is a better predictor than psychologist mirroring; (2) the number of psychologist’s nods is a better predictor than the number of customer’s nods; (3) except for the psychologist mirroring, the computer vision algorithm we used worked about equally well whether it was acquiring images from wearable smartglasses or fixed cameras. |
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Notes | LAMP; 600.072; | Approved | no | ||
Call Number | Admin @ si @ MTR2016 | Serial | 2826 | ||
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Author | Antonio Lopez; Atsushi Imiya; Tomas Pajdla; Jose Manuel Alvarez | ||||
Title | Computer Vision in Vehicle Technology: Land, Sea & Air | Type | Book Whole | ||
Year | 2017 | Publication | Abbreviated Journal | ||
Volume | Issue | Pages ![]() |
161-163 | ||
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Abstract | Summary This chapter examines different vision-based commercial solutions for real-live problems related to vehicles. It is worth mentioning the recent astonishing performance of deep convolutional neural networks (DCNNs) in difficult visual tasks such as image classification, object recognition/localization/detection, and semantic segmentation. In fact,
different DCNN architectures are already being explored for low-level tasks such as optical flow and disparity computation, and higher level ones such as place recognition. |
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Publisher | John Wiley & Sons, Ltd | Place of Publication | Editor | ||
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ISSN | ISBN | 978-1-118-86807-2 | Medium | ||
Area | Expedition | Conference | |||
Notes | ADAS; 600.118 | Approved | no | ||
Call Number | Admin @ si @ LIP2017a | Serial | 2937 | ||
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Author | Marçal Rusiñol; Lluis Gomez | ||||
Title | Avances en clasificación de imágenes en los últimos diez años. Perspectivas y limitaciones en el ámbito de archivos fotográficos históricos | Type | Journal | ||
Year | 2018 | Publication | Revista anual de la Asociación de Archiveros de Castilla y León | Abbreviated Journal | |
Volume | 21 | Issue | Pages ![]() |
161-174 | |
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Notes | DAG; 600.121; 600.129 | Approved | no | ||
Call Number | Admin @ si @ RuG2018 | Serial | 3239 | ||
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Author | Joan M. Nuñez; Jorge Bernal; F. Javier Sanchez; Fernando Vilariño | ||||
Title | Blood Vessel Characterization in Colonoscopy Images to Improve Polyp Localization | Type | Conference Article | ||
Year | 2013 | Publication | Proceedings of the International Conference on Computer Vision Theory and Applications | Abbreviated Journal | |
Volume | 1 | Issue | Pages ![]() |
162-171 | |
Keywords | Colonoscopy; Blood vessel; Linear features; Valley detection | ||||
Abstract | This paper presents an approach to mitigate the contribution of blood vessels to the energy image used at different tasks of automatic colonoscopy image analysis. This goal is achieved by introducing a characterization of endoluminal scene objects which allows us to differentiate between the trace of 2-dimensional visual objects,such as vessels, and shades from 3-dimensional visual objects, such as folds. The proposed characterization is based on the influence that the object shape has in the resulting visual feature, and it leads to the development of a blood vessel attenuation algorithm. A database consisting of manually labelled masks was built in order to test the performance of our method, which shows an encouraging success in blood vessel mitigation while keeping other structures intact. Moreover, by extending our method to the only available polyp localization
algorithm tested on a public database, blood vessel mitigation proved to have a positive influence on the overall performance. |
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Address | Barcelona; February 2013 | ||||
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Publisher | SciTePress | Place of Publication | Editor | ||
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Area | 800 | Expedition | Conference | VISIGRAPP | |
Notes | MV; 600.054; 600.057;SIAI | Approved | no | ||
Call Number | IAM @ iam @ NBS2013 | Serial | 2198 | ||
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Author | Santiago Segui; Michal Drozdzal; Guillem Pascual; Petia Radeva; Carolina Malagelada; Fernando Azpiroz; Jordi Vitria | ||||
Title | Generic Feature Learning for Wireless Capsule Endoscopy Analysis | Type | Journal Article | ||
Year | 2016 | Publication | Computers in Biology and Medicine | Abbreviated Journal | CBM |
Volume | 79 | Issue | Pages ![]() |
163-172 | |
Keywords | Wireless capsule endoscopy; Deep learning; Feature learning; Motility analysis | ||||
Abstract | The interpretation and analysis of wireless capsule endoscopy (WCE) recordings is a complex task which requires sophisticated computer aided decision (CAD) systems to help physicians with video screening and, finally, with the diagnosis. Most CAD systems used in capsule endoscopy share a common system design, but use very different image and video representations. As a result, each time a new clinical application of WCE appears, a new CAD system has to be designed from the scratch. This makes the design of new CAD systems very time consuming. Therefore, in this paper we introduce a system for small intestine motility characterization, based on Deep Convolutional Neural Networks, which circumvents the laborious step of designing specific features for individual motility events. Experimental results show the superiority of the learned features over alternative classifiers constructed using state-of-the-art handcrafted features. In particular, it reaches a mean classification accuracy of 96% for six intestinal motility events, outperforming the other classifiers by a large margin (a 14% relative performance increase). | ||||
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Notes | OR; MILAB;MV; | Approved | no | ||
Call Number | Admin @ si @ SDP2016 | Serial | 2836 | ||
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Author | Antoni Gurgui; Debora Gil; Enric Marti; Vicente Grau | ||||
Title | Left-Ventricle Basal Region Constrained Parametric Mapping to Unitary Domain | Type | Conference Article | ||
Year | 2016 | Publication | 7th International Workshop on Statistical Atlases & Computational Modelling of the Heart | Abbreviated Journal | |
Volume | 10124 | Issue | Pages ![]() |
163-171 | |
Keywords | Laplacian; Constrained maps; Parameterization; Basal ring | ||||
Abstract | Due to its complex geometry, the basal ring is often omitted when putting different heart geometries into correspondence. In this paper, we present the first results on a new mapping of the left ventricle basal rings onto a normalized coordinate system using a fold-over free approach to the solution to the Laplacian. To guarantee correspondences between different basal rings, we imposed some internal constrained positions at anatomical landmarks in the normalized coordinate system. To prevent internal fold-overs, constraints are handled by cutting the volume into regions defined by anatomical features and mapping each piece of the volume separately. Initial results presented in this paper indicate that our method is able to handle internal constrains without introducing fold-overs and thus guarantees one-to-one mappings between different basal ring geometries. | ||||
Address | Athens; October 2016 | ||||
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Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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ISSN | ISBN | Medium | |||
Area | Expedition | Conference | STACOM | ||
Notes | IAM; | Approved | no | ||
Call Number | Admin @ si @ GGM2016 | Serial | 2884 | ||
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