| Records |
| Author |
Xu Hu |
| Title |
Real-Time Part Based Models for Object Detection |
Type |
Report |
| Year |
2012 |
Publication |
CVC Technical Report |
Abbreviated Journal  |
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| Volume |
171 |
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Thesis |
Master's thesis |
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| Notes |
ADAS;ISE |
Approved |
no |
| Call Number |
Admin @ si @ Hu2012 |
Serial |
2415 |
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| Author |
Nuria Cirera |
| Title |
Recognition of Handwritten Historical Documents |
Type |
Report |
| Year |
2012 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
174 |
Issue |
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Pages |
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Thesis |
Master's thesis |
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| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ Cir2012 |
Serial |
2416 |
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| Author |
Adria Ruiz; Joost Van de Weijer; Xavier Binefa |
| Title |
Regularized Multi-Concept MIL for weakly-supervised facial behavior categorization |
Type |
Conference Article |
| Year |
2014 |
Publication |
25th British Machine Vision Conference |
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| Abstract |
We address the problem of estimating high-level semantic labels for videos of recorded people by means of analysing their facial expressions. This problem, to which we refer as facial behavior categorization, is a weakly-supervised learning problem where we do not have access to frame-by-frame facial gesture annotations but only weak-labels at the video level are available. Therefore, the goal is to learn a set of discriminative expressions and how they determine the video weak-labels. Facial behavior categorization can be posed as a Multi-Instance-Learning (MIL) problem and we propose a novel MIL method called Regularized Multi-Concept MIL to solve it. In contrast to previous approaches applied in facial behavior analysis, RMC-MIL follows a Multi-Concept assumption which allows different facial expressions (concepts) to contribute differently to the video-label. Moreover, to handle with the high-dimensional nature of facial-descriptors, RMC-MIL uses a discriminative approach to model the concepts and structured sparsity regularization to discard non-informative features. RMC-MIL is posed as a convex-constrained optimization problem where all the parameters are jointly learned using the Projected-Quasi-Newton method. In our experiments, we use two public data-sets to show the advantages of the Regularized Multi-Concept approach and its improvement compared to existing MIL methods. RMC-MIL outperforms state-of-the-art results in the UNBC data-set for pain detection. |
| Address |
Nottingham; UK; September 2014 |
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Conference |
BMVC |
| Notes |
LAMP; CIC; 600.074; 600.079 |
Approved |
no |
| Call Number |
Admin @ si @ RWB2014 |
Serial |
2508 |
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| Author |
Ferran Poveda |
| Title |
Computer Graphics and Vision Techniques for the Study of the Muscular Fiber Architecture of the Myocardium |
Type |
Book Whole |
| Year |
2013 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Thesis |
Ph.D. thesis |
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Editor |
Debora Gil;Enric Marti |
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| Notes |
IAM |
Approved |
no |
| Call Number |
Admin @ si @ Pov2013 |
Serial |
2417 |
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| Author |
Miquel Ferrer; I. Bardaji; Ernest Valveny; Dimosthenis Karatzas; Horst Bunke |
| Title |
Median Graph Computation by Means of Graph Embedding into Vector Spaces |
Type |
Book Chapter |
| Year |
2013 |
Publication |
Graph Embedding for Pattern Analysis |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
45-72 |
| Keywords |
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| Abstract |
In pattern recognition [8, 14], a key issue to be addressed when designing a system is how to represent input patterns. Feature vectors is a common option. That is, a set of numerical features describing relevant properties of the pattern are computed and arranged in a vector form. The main advantages of this kind of representation are computational simplicity and a well sound mathematical foundation. Thus, a large number of operations are available to work with vectors and a large repository of algorithms for pattern analysis and classification exist. However, the simple structure of feature vectors might not be the best option for complex patterns where nonnumerical features or relations between different parts of the pattern become relevant. |
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| Publisher |
Springer New York |
Place of Publication |
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Editor |
Yun Fu; Yungian Ma |
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ISBN |
978-1-4614-4456-5 |
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| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ FBV2013 |
Serial |
2421 |
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| Author |
Mirko Arnold; Anarta Ghosh; Gerard Lacey; Stephen Patchett; Hugh Mulcahy |
| Title |
Indistinct frame detection in colonoscopy videos |
Type |
Conference Article |
| Year |
2009 |
Publication |
Machine Vision and Image Processing Conference |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
47-52 |
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| Area |
800 |
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| Notes |
MV |
Approved |
no |
| Call Number |
fernando @ fernando @ |
Serial |
2424 |
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| Author |
A.Kesidis; Dimosthenis Karatzas |
| Title |
Logo and Trademark Recognition |
Type |
Book Chapter |
| Year |
2014 |
Publication |
Handbook of Document Image Processing and Recognition |
Abbreviated Journal |
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| Volume |
D |
Issue |
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Pages |
591-646 |
| Keywords |
Logo recognition; Logo removal; Logo spotting; Trademark registration; Trademark retrieval systems |
| Abstract |
The importance of logos and trademarks in nowadays society is indisputable, variably seen under a positive light as a valuable service for consumers or a negative one as a catalyst of ever-increasing consumerism. This chapter discusses the technical approaches for enabling machines to work with logos, looking into the latest methodologies for logo detection, localization, representation, recognition, retrieval, and spotting in a variety of media. This analysis is presented in the context of three different applications covering the complete depth and breadth of state of the art techniques. These are trademark retrieval systems, logo recognition in document images, and logo detection and removal in images and videos. This chapter, due to the very nature of logos and trademarks, brings together various facets of document image analysis spanning graphical and textual content, while it links document image analysis to other computer vision domains, especially when it comes to the analysis of real-scene videos and images. |
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Springer London |
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Editor |
D. Doermann; K. Tombre |
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ISBN |
978-0-85729-858-4 |
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| Notes |
DAG; 600.077 |
Approved |
no |
| Call Number |
Admin @ si @ KeK2014 |
Serial |
2425 |
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| Author |
Mirko Arnold; Stephan Ameling; Anarta Ghosh; Gerard Lacey |
| Title |
Quality Improvement of Endoscopy Videos |
Type |
Conference Article |
| Year |
2011 |
Publication |
Proceedings of the 8th IASTED International Conference on Biomedical Engineering |
Abbreviated Journal |
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| Volume |
723 |
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| Area |
800 |
Expedition |
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Conference |
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| Notes |
MV |
Approved |
no |
| Call Number |
fernando @ fernando @ |
Serial |
2426 |
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| Author |
Mirko Arnold; Anarta Ghosh; Glen Doherty; Hugh Mulcahy; Stephen Patchett; Gerard Lacey |
| Title |
Towards Automatic Direct Observation of Procedure and Skill (DOPS) in Colonoscopy |
Type |
Conference Article |
| Year |
2013 |
Publication |
Proceedings of the International Conference on Computer Vision Theory and Applications |
Abbreviated Journal |
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Issue |
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Pages |
48-53 |
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| Area |
800 |
Expedition |
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Conference |
VISIGRAPP |
| Notes |
MV |
Approved |
no |
| Call Number |
fernando @ fernando @ |
Serial |
2427 |
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| Author |
Stefan Ameling; Stephan Wirth; Dietrich Paulus; Gerard Lacey; Fernando Vilariño |
| Title |
Texture-based Polyp Detection in Colonoscopy |
Type |
Journal Article |
| Year |
2009 |
Publication |
Proc. BILDVERARBEITUNG FÜR DIE MEDIZIN |
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| Area |
800 |
Expedition |
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Conference |
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| Notes |
MV;SIAI |
Approved |
no |
| Call Number |
fernando @ fernando @ |
Serial |
2428 |
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| Author |
Christophe Rigaud; Dimosthenis Karatzas; Jean-Christophe Burie; Jean-Marc Ogier |
| Title |
Speech balloon contour classification in comics |
Type |
Conference Article |
| Year |
2013 |
Publication |
10th IAPR International Workshop on Graphics Recognition |
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| Abstract |
Comic books digitization combined with subsequent comic book understanding create a variety of new applications, including mobile reading and data mining. Document understanding in this domain is challenging as comics are semi-structured documents, combining semantically important graphical and textual parts. In this work we detail a novel approach for classifying speech balloon in scanned comics book pages based on their contour time series. |
| Address |
Bethlehem; PA; USA; August 2013 |
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Conference |
GREC |
| Notes |
DAG; 600.056 |
Approved |
no |
| Call Number |
Admin @ si @ RKB2013 |
Serial |
2429 |
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| Author |
Fernando Vilariño; Gerard Lacey |
| Title |
QUALITY ASSESSMENT IN COLONOSCOPY New challenges through computer vision-based systems |
Type |
Conference Article |
| Year |
2009 |
Publication |
in Proc. 3rd International Conference on Biomedical Electronics and Devices |
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| Area |
800 |
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| Notes |
MV;SIAI |
Approved |
no |
| Call Number |
fernando @ fernando @ |
Serial |
2430 |
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| Author |
Fernando Vilariño; Gerard Lacey; Jiang Zhou; Hugh Mulcahy; Stephen Patchett |
| Title |
Automatic Labeling of Colonoscopy Video for Cancer Detection |
Type |
Conference Article |
| Year |
2007 |
Publication |
In Proc. berian Conference, IbPRIA |
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Pages |
290-297 |
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| Area |
800 |
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| Notes |
MV;SIAI |
Approved |
no |
| Call Number |
fernando @ fernando @ |
Serial |
2431 |
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| Author |
Patricia Marquez; Debora Gil; R.Mester; Aura Hernandez-Sabate |
| Title |
Local Analysis of Confidence Measures for Optical Flow Quality Evaluation |
Type |
Conference Article |
| Year |
2014 |
Publication |
9th International Conference on Computer Vision Theory and Applications |
Abbreviated Journal |
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| Volume |
3 |
Issue |
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Pages |
450-457 |
| Keywords |
Optical Flow; Confidence Measure; Performance Evaluation. |
| Abstract |
Optical Flow (OF) techniques facing the complexity of real sequences have been developed in the last years. Even using the most appropriate technique for our specific problem, at some points the output flow might fail to achieve the minimum error required for the system. Confidence measures computed from either input data or OF output should discard those points where OF is not accurate enough for its further use. It follows that evaluating the capabilities of a confidence measure for bounding OF error is as important as the definition
itself. In this paper we analyze different confidence measures and point out their advantages and limitations for their use in real world settings. We also explore the agreement with current tools for their evaluation of confidence measures performance. |
| Address |
Lisboa; January 2014 |
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VISAPP |
| Notes |
IAM; ADAS; 600.044; 600.060; 600.057; 601.145; 600.076; 600.075 |
Approved |
no |
| Call Number |
Admin @ si @ MGM2014 |
Serial |
2432 |
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| Author |
Jiaolong Xu; Sebastian Ramos;David Vazquez; Antonio Lopez |
| Title |
Cost-sensitive Structured SVM for Multi-category Domain Adaptation |
Type |
Conference Article |
| Year |
2014 |
Publication |
22nd International Conference on Pattern Recognition |
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Issue |
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Pages |
3886 - 3891 |
| Keywords |
Domain Adaptation; Pedestrian Detection |
| Abstract |
Domain adaptation addresses the problem of accuracy drop that a classifier may suffer when the training data (source domain) and the testing data (target domain) are drawn from different distributions. In this work, we focus on domain adaptation for structured SVM (SSVM). We propose a cost-sensitive domain adaptation method for SSVM, namely COSS-SSVM. In particular, during the re-training of an adapted classifier based on target and source data, the idea that we explore consists in introducing a non-zero cost even for correctly classified source domain samples. Eventually, we aim to learn a more targetoriented classifier by not rewarding (zero loss) properly classified source-domain training samples. We assess the effectiveness of COSS-SSVM on multi-category object recognition. |
| Address |
Stockholm; Sweden; August 2014 |
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| Publisher |
IEEE |
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| ISSN |
1051-4651 |
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Conference |
ICPR |
| Notes |
ADAS; 600.057; 600.054; 601.217; 600.076 |
Approved |
no |
| Call Number |
ADAS @ adas @ XRV2014a |
Serial |
2434 |
| Permanent link to this record |
