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Oriol Rodriguez-Leor; Carlo Gatta; E. Fernandez-Nofrerias; Oriol Pujol; Neus Salvatella; C. Bosch; H. Tizon; Petia Radeva; J. Mauri |
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Computationally Efficient Image-based IVUS Pullbacks Gating |
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2008 |
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European Heart Journal, ESC Supplement, Munich, 2008, p. 775 |
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MILAB;HuPBA |
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BCNPCL @ bcnpcl @ RGF2008 |
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1036 |
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Author |
Carlo Gatta; Oriol Pujol; Oriol Rodriguez-Leor; J. Mauri; Petia Radeva |
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Title |
Robust Image-based IVUS Pullbacks Gating |
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2008 |
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Proceedings 11th International ConferenceMedical Image Computing and Computer–Assisted Intervention |
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5242 |
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518–525 |
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NY (USA) |
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MICCAI |
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MILAB;HuPBA |
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BCNPCL @ bcnpcl @ GPR2008a |
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1037 |
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Author |
Carlo Gatta; Oriol Pujol; Oriol Rodriguez-Leor; J. Mauri; Petia Radeva |
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Title |
Improved Rigid Registration of Vessel Structures using the Fast Radial Symmetry Transform |
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2008 |
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Computer Vision for Intravascular Imaging CVII’08 Workshop Medical Image Computing and Computer–Assisted Intervention , 11th International Conference |
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128–136 |
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NY (USA) |
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MICCAI |
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MILAB;HUPBA |
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BCNPCL @ bcnpcl @ GPR2008b |
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1038 |
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Sergio Escalera; Oriol Pujol; J. Mauri; Petia Radeva |
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Title |
IVUS Tissue Characterization with Sub-class Error-correcting Output Codes |
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Conference Article |
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2008 |
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Computer Vision and Pattern Recognition Workshops, 2008. CVPR Workshops 2008. IEEE Computer Society Conference on, pp. 1–8, 23–28 juny 2008. |
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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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CVPR |
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MILAB;HuPBA |
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BCNPCL @ bcnpcl @ EPM2008 |
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1041 |
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Author |
Robert Benavente; Laura Igual; Fernando Vilariño |
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Title |
Current Challenges in Computer Vision |
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2008 |
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Proccedings of the Third Internal Workshop |
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978-84-936529-0-6 |
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CVCRD |
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MILAB;CIC;SIAI |
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no |
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BCNPCL @ bcnpcl @ BIV2008 |
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1110 |
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Author |
Sergio Escalera; Oriol Pujol; Eric Laciar; Jordi Vitria; Esther Pueyo; Petia Radeva |
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Title |
Coronary Damage Classification of Patients with the Chagas Disease with Error-Correcting Output Codes |
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Conference Article |
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2008 |
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Intelligent Systems, 4th International IEEE Conference, 6–8 setembre 2008. |
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2 |
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12–17 |
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The Chagaspsila disease is endemic in all Latin America, affecting millions of people in the continent. In order to diagnose and treat the Chagaspsila disease, it is important to detect and measure the coronary damage of the patient. In this paper, we analyze and categorize patients into different groups based on the coronary damage produced by the disease. Based on the features of the heart cycle extracted using high resolution ECG, a multi-class scheme of error-correcting output codes (ECOC) is formulated and successfully applied. The results show that the proposed scheme obtains significant performance improvements compared to previous works and state-of-the-art ECOC designs. |
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Varna (Bulgaria) |
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IS’08 |
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MILAB; OR;HuPBA;MV |
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BCNPCL @ bcnpcl @ EPL2008 |
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1042 |
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Author |
Sergio Escalera |
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Title |
Coding and Decoding Design of ECOCs for Multi-Class Pattern and Object Recognition |
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2008 |
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MILAB; HuPBA |
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BCNPCL @ bcnpcl @ Esc2008a |
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1106 |
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Author |
Sergio Escalera |
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Coding and Decoding Design of ECOCs for Multi-class Pattern and Object Recognition A |
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2008 |
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PhD Thesis, Universitat de Barcelona-CVC |
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Many real problems require multi-class decisions. In the Pattern Recognition field,
many techniques have been proposed to deal with the binary problem. However,
the extension of many 2-class classifiers to the multi-class case is a hard task. In
this sense, Error-Correcting Output Codes (ECOC) demonstrated to be a powerful
tool to combine any number of binary classifiers to model multi-class problems. But
there are still many open issues about the capabilities of the ECOC framework. In
this thesis, the two main stages of an ECOC design are analyzed: the coding and
the decoding steps. We present different problem-dependent designs. These designs
take advantage of the knowledge of the problem domain to minimize the number
of classifiers, obtaining a high classification performance. On the other hand, we
analyze the ECOC codification in order to define new decoding rules that take full
benefit from the information provided at the coding step. Moreover, as a successful
classification requires a rich feature set, new feature detection/extraction techniques
are presented and evaluated on the new ECOC designs. The evaluation of the new
methodology is performed on different real and synthetic data sets: UCI Machine
Learning Repository, handwriting symbols, traffic signs from a Mobile Mapping System, Intravascular Ultrasound images, Caltech Repository data set or Chaga’s disease
data set. The results of this thesis show that significant performance improvements
are obtained on both traditional coding and decoding ECOC designs when the new
coding and decoding rules are taken into account. |
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Ph.D. thesis |
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Ediciones Graficas Rey |
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Petia Radeva;Oriol Pujol |
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MILAB; HuPBA |
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Admin @ si @ Esc2008b |
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2217 |
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Author |
S. Tanimoto; N. Bruining; David Rotger; Petia Radeva; J. Ligthart; R.T. van Domburg; P. W. Serryus |
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Late Stent Recoil of the Bioabsorbable Everolimus Eluting Coronary Stent and its Relationship with Stent Struts Distribution and Plaque Morphology |
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2008 |
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Journal of the American College of Cardiology, vol. 52(20):1616–1620 |
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Bridgewater, NJ 08807(USA) |
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MILAB |
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BCNPCL @ bcnpcl @ TBR2008 |
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953 |
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Author |
E. Provenzi; Carlo Gatta; M. Fierro; A. Rizzi |
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A Spatially Variant White-Patch and Gray-World Method for Color Image Enhancement Driven by Local Constant |
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2008 |
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IEEE Transactions on Pattern Analysis and Machine Intelligence |
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TPAMI |
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30 |
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10 |
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1757–1770 |
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MILAB |
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BCNPCL @ bcnpcl @ PGF2008 |
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1001 |
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Carolina Malagelada; Fosca De Iorio; Fernando Azpiroz; Anna Accarino; Santiago Segui; Petia Radeva; Juan R. Malagelada |
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Title |
New Insight Into Intestinal Motor Function via Noninvasive Endoluminal Image Analysis |
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2008 |
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Gastroenterology |
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135 |
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4 |
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1155–1162 |
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BCNPCL @ bcnpcl @ MDA2008 |
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1040 |
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Author |
Murad Al Haj |
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Title |
Face Detection in Color Images Using Primitive Shape Features |
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2008 |
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CVC Technical Report #118 |
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Bellaterra (Spain) |
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Admin @ si @ AlH2008 |
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945 |
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Author |
Carles Fernandez; Pau Baiget; Xavier Roca; Jordi Gonzalez |
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Title |
Interpretation of Complex Situations in a Semantic-based Surveillance Framework |
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2008 |
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Signal Processing: Image Communication, Special Issue on Semantic Analysis for Interactive Multimedia Services |
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23 |
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7 |
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554-569 |
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Cognitive vision system; Situation analysis; Applied ontologies |
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The integration of cognitive capabilities in computer vision systems requires both to enable high semantic expressiveness and to deal with high computational costs as large amounts of data are involved in the analysis. This contribution describes a cognitive vision system conceived to automatically provide high-level interpretations of complex real-time situations in outdoor and indoor scenarios, and to eventually maintain communication with casual end users in multiple languages. The main contributions are: (i) the design of an integrative multilevel architecture for cognitive surveillance purposes; (ii) the proposal of a coherent taxonomy of knowledge to guide the process of interpretation, which leads to the conception of a situation-based ontology; (iii) the use of situational analysis for content detection and a progressive interpretation of semantically rich scenes, by managing incomplete or uncertain knowledge, and (iv) the use of such an ontological background to enable multilingual capabilities and advanced end-user interfaces. Experimental results are provided to show the feasibility of the proposed approach. |
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ISE @ ise @ FBR2008 |
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954 |
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Author |
Mikhail Mozerov; Ariel Amato; Xavier Roca; Jordi Gonzalez |
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Title |
Trajectory Occlusion Handling with Multiple View Distance Minimisation Clustering |
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2008 |
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Optical Engineering, vol. 47(04)04702, DOI:10.11781.2909665 |
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ISE @ ise @ MAR2008c |
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970 |
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Author |
Francisco Javier Orozco; Xavier Roca; Jordi Gonzalez |
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Title |
Real-Time Gaze Tracking with Appearance-Based Models |
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2008 |
Publication |
Machine Vision Applications |
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MVAP |
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20 |
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6 |
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353-364 |
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Keywords Eyelid and iris tracking, Appearance models, Blinking, Iris saccade, Real-time gaze tracking |
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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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ISE @ ise @ ORG2008 |
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972 |
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