| Records |
| Author |
Juan Diego Gomez |
| Title |
Toward Robust Myocardial Blush Grade Estimation in Contrast Angiography |
Type |
Report |
| Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
134 |
Issue |
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Pages |
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| Keywords |
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| Abstract |
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| Address |
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| Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
| Publisher |
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Place of Publication |
Bellaterra, Barcelona |
Editor |
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| Language |
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Summary Language |
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Expedition |
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| Notes |
MILAB |
Approved |
no |
| Call Number |
Admin @ si @ Gom2009 |
Serial  |
2393 |
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| Author |
David Augusto Rojas |
| Title |
Colouring Local Feature Detection for Matching |
Type |
Report |
| Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
133 |
Issue |
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Pages |
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| Keywords |
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| Abstract |
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| Address |
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| Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
| Publisher |
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Place of Publication |
Bellaterra, Barcelona |
Editor |
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| Notes |
CIC |
Approved |
no |
| Call Number |
Admin @ si @ Roj2009 |
Serial |
2392 |
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| Author |
Josep M. Gonfaus |
| Title |
Semantic Segmentation of Images Using Random Ferns |
Type |
Report |
| Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
132 |
Issue |
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Pages |
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| Keywords |
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| Abstract |
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| Address |
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| Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
| Publisher |
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Place of Publication |
Bellaterra, Barcelona |
Editor |
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| Notes |
ISE |
Approved |
no |
| Call Number |
Admin @ si @ Gon2009 |
Serial |
2391 |
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| Author |
Naila Murray |
| Title |
Perceptual Feature Detection |
Type |
Report |
| Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
131 |
Issue |
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Pages |
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| Keywords |
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| Abstract |
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| Address |
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| Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
| Publisher |
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Place of Publication |
Bellaterra, Barcelona |
Editor |
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Summary Language |
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Original Title |
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Expedition |
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| Notes |
CIC |
Approved |
no |
| Call Number |
Admin @ si @ Mur2009 |
Serial |
2390 |
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| Author |
Hany Salah Eldeen |
| Title |
Colour Naming in Context through a Perceptual Model |
Type |
Report |
| Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
130 |
Issue |
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Pages |
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| Keywords |
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| Abstract |
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| Address |
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| Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
| Publisher |
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Place of Publication |
Bellaterra, Barcelona |
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Expedition |
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Conference |
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| Notes |
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Approved |
no |
| Call Number |
Admin @ si @ Eld2009 |
Serial |
2389 |
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| Author |
Noha Elfiky |
| Title |
Enhancing Local Binary Patterns with Spatial Pyramid Kernel: Application to Scene Classification |
Type |
Report |
| Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
129 |
Issue |
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Pages |
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| Keywords |
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| Abstract |
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| Address |
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| Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
| Publisher |
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Place of Publication |
Bellaterra, Barcelona |
Editor |
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| Language |
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Expedition |
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Conference |
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| Notes |
ISE |
Approved |
no |
| Call Number |
Admin @ si @ Elf2009 |
Serial |
2388 |
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| Author |
Albert Gordo |
| Title |
A Cyclic Page Layout Descriptor for Document Classification & Retrieval |
Type |
Report |
| Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
128 |
Issue |
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Pages |
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| Keywords |
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| Abstract |
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| Address |
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| Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
| Publisher |
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Place of Publication |
Bellaterra, Barcelona |
Editor |
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Summary Language |
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Original Title |
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Edition |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
CIC;DAG |
Approved |
no |
| Call Number |
Admin @ si @ Gor2009 |
Serial |
2387 |
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| Author |
Naveen Onkarappa; Angel Sappa |
| Title |
Speed and Texture: An Empirical Study on Optical-Flow Accuracy in ADAS Scenarios |
Type |
Journal Article |
| Year |
2014 |
Publication |
IEEE Transactions on Intelligent Transportation Systems |
Abbreviated Journal |
TITS |
| Volume |
15 |
Issue |
1 |
Pages |
136-147 |
| Keywords |
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| Abstract |
IF: 3.064
Increasing mobility in everyday life has led to the concern for the safety of automotives and human life. Computer vision has become a valuable tool for developing driver assistance applications that target such a concern. Many such vision-based assisting systems rely on motion estimation, where optical flow has shown its potential. A variational formulation of optical flow that achieves a dense flow field involves a data term and regularization terms. Depending on the image sequence, the regularization has to appropriately be weighted for better accuracy of the flow field. Because a vehicle can be driven in different kinds of environments, roads, and speeds, optical-flow estimation has to be accurately computed in all such scenarios. In this paper, we first present the polar representation of optical flow, which is quite suitable for driving scenarios due to the possibility that it offers to independently update regularization factors in different directional components. Then, we study the influence of vehicle speed and scene texture on optical-flow accuracy. Furthermore, we analyze the relationships of these specific characteristics on a driving scenario (vehicle speed and road texture) with the regularization weights in optical flow for better accuracy. As required by the work in this paper, we have generated several synthetic sequences along with ground-truth flow fields. |
| Address |
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Place of Publication |
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Edition |
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| ISSN |
1524-9050 |
ISBN |
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| Area |
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Expedition |
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Conference |
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| Notes |
ADAS; 600.076 |
Approved |
no |
| Call Number |
Admin @ si @ OnS2014a |
Serial |
2386 |
| Permanent link to this record |
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| Author |
Santiago Segui; Michal Drozdzal; Ekaterina Zaytseva; Fernando Azpiroz; Petia Radeva; Jordi Vitria |
| Title |
Detection of wrinkle frames in endoluminal videos using betweenness centrality measures for images |
Type |
Journal Article |
| Year |
2014 |
Publication |
IEEE Transactions on Information Technology in Biomedicine |
Abbreviated Journal |
TITB |
| Volume |
18 |
Issue |
6 |
Pages |
1831-1838 |
| Keywords |
Wireless Capsule Endoscopy; Small Bowel Motility Dysfunction; Contraction Detection; Structured Prediction; Betweenness Centrality |
| Abstract |
Intestinal contractions are one of the most important events to diagnose motility pathologies of the small intestine. When visualized by wireless capsule endoscopy (WCE), the sequence of frames that represents a contraction is characterized by a clear wrinkle structure in the central frames that corresponds to the folding of the intestinal wall. In this paper we present a new method to robustly detect wrinkle frames in full WCE videos by using a new mid-level image descriptor that is based on a centrality measure proposed for graphs. We present an extended validation, carried out in a very large database, that shows that the proposed method achieves state of the art performance for this task. |
| Address |
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ISBN |
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Conference |
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| Notes |
OR; MILAB; 600.046;MV |
Approved |
no |
| Call Number |
Admin @ si @ SDZ2014 |
Serial |
2385 |
| Permanent link to this record |
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| Author |
Enric Marti; Ferran Poveda; Antoni Gurgui; Jaume Rocarias; Debora Gil; Aura Hernandez-Sabate |
| Title |
Una experiencia de estructura, funcionamiento y evaluación de la asignatura de graficos por computador con metodologia de aprendizaje basado en proyectos |
Type |
Miscellaneous |
| Year |
2013 |
Publication |
IV Congreso Internacional UNIVEST |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
IV Congreso Internacional UNIVEST |
| Address |
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Place of Publication |
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Conference |
UNIVEST |
| Notes |
IAM; ADAS |
Approved |
no |
| Call Number |
Admin @ si @ MPG2013b |
Serial |
2384 |
| Permanent link to this record |
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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. |
| Address |
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Thesis |
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| Publisher |
Springer London |
Place of Publication |
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Editor |
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Original Title |
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| Series Editor |
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Series Title |
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Series Issue |
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Edition |
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| ISSN |
0219-1377 |
ISBN |
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Conference |
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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 |
Muhammad Muzzamil Luqman; Thierry Brouard; Jean-Yves Ramel; Josep Llados |
| Title |
Recherche de sous-graphes par encapsulation floue des cliques d'ordre 2: Application à la localisation de contenu dans les images de documents graphiques |
Type |
Conference Article |
| Year |
2012 |
Publication |
Colloque International Francophone sur l'Écrit et le Document |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
149-162 |
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Conference |
CIFED |
| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ LBR2012 |
Serial |
2382 |
| Permanent link to this record |
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| Author |
Muhammad Muzzamil Luqman; Jean-Yves Ramel; Josep Llados |
| Title |
Improving Fuzzy Multilevel Graph Embedding through Feature Selection Technique |
Type |
Conference Article |
| Year |
2012 |
Publication |
Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop |
Abbreviated Journal |
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| Volume |
7626 |
Issue |
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Pages |
243-253 |
| Keywords |
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| Abstract |
Graphs are the most powerful, expressive and convenient data structures but there is a lack of efficient computational tools and algorithms for processing them. The embedding of graphs into numeric vector spaces permits them to access the state-of-the-art computational efficient statistical models and tools. In this paper we take forward our work on explicit graph embedding and present an improvement to our earlier proposed method, named “fuzzy multilevel graph embedding – FMGE”, through feature selection technique. FMGE achieves the embedding of attributed graphs into low dimensional vector spaces by performing a multilevel analysis of graphs and extracting a set of global, structural and elementary level features. Feature selection permits FMGE to select the subset of most discriminating features and to discard the confusing ones for underlying graph dataset. Experimental results for graph classification experimentation on IAM letter, GREC and fingerprint graph databases, show improvement in the performance of FMGE. |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Abbreviated Series Title |
LNCS |
| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
0302-9743 |
ISBN |
978-3-642-34165-6 |
Medium |
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Expedition |
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Conference |
SSPR&SPR |
| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ LRL2012 |
Serial |
2381 |
| Permanent link to this record |
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| Author |
Josep Llados; Marçal Rusiñol |
| Title |
Graphics Recognition Techniques |
Type |
Book Chapter |
| Year |
2014 |
Publication |
Handbook of Document Image Processing and Recognition |
Abbreviated Journal |
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| Volume |
D |
Issue |
|
Pages |
489-521 |
| Keywords |
Dimension recognition; Graphics recognition; Graphic-rich documents; Polygonal approximation; Raster-to-vector conversion; Texture-based primitive extraction; Text-graphics separation |
| Abstract |
This chapter describes the most relevant approaches for the analysis of graphical documents. The graphics recognition pipeline can be splitted into three tasks. The low level or lexical task extracts the basic units composing the document. The syntactic level is focused on the structure, i.e., how graphical entities are constructed, and involves the location and classification of the symbols present in the document. The third level is a functional or semantic level, i.e., it models what the graphical symbols do and what they mean in the context where they appear. This chapter covers the lexical level, while the next two chapters are devoted to the syntactic and semantic level, respectively. The main problems reviewed in this chapter are raster-to-vector conversion (vectorization algorithms) and the separation of text and graphics components. The research and industrial communities have provided standard methods achieving reasonable performance levels. Hence, graphics recognition techniques can be considered to be in a mature state from a scientific point of view. Additionally this chapter provides insights on some related problems, namely, the extraction and recognition of dimensions in engineering drawings, and the recognition of hatched and tiled patterns. Both problems are usually associated, even integrated, in the vectorization process. |
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Thesis |
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| Publisher |
Springer London |
Place of Publication |
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Editor |
D. Doermann; K. Tombre |
| Language |
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Summary Language |
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Original Title |
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Series Title |
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Series Issue |
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Edition |
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ISBN |
978-0-85729-858-4 |
Medium |
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Expedition |
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Conference |
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| Notes |
DAG; 600.077 |
Approved |
no |
| Call Number |
Admin @ si @ LlR2014 |
Serial |
2380 |
| Permanent link to this record |
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| Author |
R. de Nijs; Sebastian Ramos; Gemma Roig; Xavier Boix; Luc Van Gool; K. Kühnlenz. |
| Title |
On-line Semantic Perception Using Uncertainty |
Type |
Conference Article |
| Year |
2012 |
Publication |
International Conference on Intelligent Robots and Systems |
Abbreviated Journal |
IROS |
| Volume |
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Issue |
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Pages |
4185-4191 |
| Keywords |
Semantic Segmentation |
| Abstract |
Visual perception capabilities are still highly unreliable in unconstrained settings, and solutions might not beaccurate in all regions of an image. Awareness of the uncertainty of perception is a fundamental requirement for proper high level decision making in a robotic system. Yet, the uncertainty measure is often sacrificed to account for dependencies between object/region classifiers. This is the case of Conditional Random Fields (CRFs), the success of which stems from their ability to infer the most likely world configuration, but they do not directly allow to estimate the uncertainty of the solution. In this paper, we consider the setting of assigning semantic labels to the pixels of an image sequence. Instead of using a CRF, we employ a Perturb-and-MAP Random Field, a recently introduced probabilistic model that allows performing fast approximate sampling from its probability density function. This allows to effectively compute the uncertainty of the solution, indicating the reliability of the most likely labeling in each region of the image. We report results on the CamVid dataset, a standard benchmark for semantic labeling of urban image sequences. In our experiments, we show the benefits of exploiting the uncertainty by putting more computational effort on the regions of the image that are less reliable, and use more efficient techniques for other regions, showing little decrease of performance |
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Conference |
IROS |
| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ NRR2012 |
Serial |
2378 |
| Permanent link to this record |
