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Author |
Albert Andaluz |
![download PDF file pdf](img/file_PDF.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Harmonic Phase Flow: User's guide |
Type |
Manual |
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Year |
2012 |
Publication |
CVC |
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Abstract |
HPF is a plugin for the computation of clinical scores under Osirix.
This manual provides a basic guide for experienced clinical staff. Chapter 1 provides the theoretical background in which this plugin is based.
Next, in chapter 2 we provide basic instructions for installing and uninstalling this plugin. chapter 3we shows a step-by-step scenario to compute clinical scores from tagged-MRI images with HPF. Finally, in chapter 4 we provide a quick guide for plugin developers |
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Bellaterra, Barcelona (Spain) |
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Computer Vision Center |
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CVC |
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Barcelona |
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english |
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english |
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IAM |
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no |
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IAM @ iam @ And2012 |
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1863 |
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Author |
Fahad Shahbaz Khan; Joost Van de Weijer; Andrew Bagdanov; Maria Vanrell |
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Title |
Portmanteau Vocabularies for Multi-Cue Image Representation |
Type |
Conference Article |
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Year |
2011 |
Publication |
25th Annual Conference on Neural Information Processing Systems |
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We describe a novel technique for feature combination in the bag-of-words model of image classification. Our approach builds discriminative compound words from primitive cues learned independently from training images. Our main observation is that modeling joint-cue distributions independently is more statistically robust for typical classification problems than attempting to empirically estimate the dependent, joint-cue distribution directly. We use Information theoretic vocabulary compression to find discriminative combinations of cues and the resulting vocabulary of portmanteau words is compact, has the cue binding property, and supports individual weighting of cues in the final image representation. State-of-the-art results on both the Oxford Flower-102 and Caltech-UCSD Bird-200 datasets demonstrate the effectiveness of our technique compared to other, significantly more complex approaches to multi-cue image representation |
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NIPS |
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CIC |
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Admin @ si @ KWB2011 |
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1865 |
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Author |
Yainuvis Socarras; Sebastian Ramos; David Vazquez; Antonio Lopez; Theo Gevers |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Adapting Pedestrian Detection from Synthetic to Far Infrared Images |
Type |
Conference Article |
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Year |
2013 |
Publication |
ICCV Workshop on Visual Domain Adaptation and Dataset Bias |
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Domain Adaptation; Far Infrared; Pedestrian Detection |
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We present different techniques to adapt a pedestrian classifier trained with synthetic images and the corresponding automatically generated annotations to operate with far infrared (FIR) images. The information contained in this kind of images allow us to develop a robust pedestrian detector invariant to extreme illumination changes. |
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Sydney; Australia; December 2013 |
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Sydney, Australy |
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English |
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ICCVW-VisDA |
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ADAS; 600.054; 600.055; 600.057; 601.217;ISE |
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ADAS @ adas @ SRV2013 |
Serial |
2334 |
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Author |
V.C.Kieu; Alicia Fornes; M. Visani; N.Journet ; Anjan Dutta |
![download PDF file pdf](img/file_PDF.gif)
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Title |
The ICDAR/GREC 2013 Music Scores Competition on Staff Removal |
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Conference Article |
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Year |
2013 |
Publication |
10th IAPR International Workshop on Graphics Recognition |
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Competition; Music scores; Staff Removal |
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Abstract |
The first competition on music scores that was organized at ICDAR and GREC in 2011 awoke the interest of researchers, who participated both at staff removal and writer identification tasks. In this second edition, we propose a staff removal competition where we simulate old music scores. Thus, we have created a new set of images, which contain noise and 3D distortions. This paper describes the distortion methods, metrics, the participant’s methods and the obtained results. |
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Bethlehem; PA; USA; August 2013 |
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GREC |
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DAG; 600.045; 600.061 |
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no |
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Admin @ si @ KFV2013 |
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2337 |
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Author |
Jorge Bernal; David Vazquez (eds) |
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Title |
Computer vision Trends and Challenges |
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Book Whole |
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Year |
2013 |
Publication |
Computer vision Trends and Challenges |
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CVCRD; Computer Vision |
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This book contains the papers presented at the Eighth CVC Workshop on Computer Vision Trends and Challenges (CVCR&D'2013). The workshop was held at the Computer Vision Center (Universitat Autònoma de Barcelona), the October 25th, 2013. The CVC workshops provide an excellent opportunity for young researchers and project engineers to share new ideas and knowledge about the progress of their work, and also, to discuss about challenges and future perspectives. In addition, the workshop is the welcome event for new people that recently have joined the institute.
The program of CVCR&D is organized in a single-track single-day workshop. It comprises several sessions dedicated to specific topics. For each session, a doctor working on the topic introduces the general research lines. The PhD students expose their specific research. A poster session will be held for open questions. Session topics cover the current research lines and development projects of the CVC: Medical Imaging, Medical Imaging, Color & Texture Analysis, Object Recognition, Image Sequence Evaluation, Advanced Driver Assistance Systems, Machine Vision, Document Analysis, Pattern Recognition and Applications. We want to thank all paper authors and Program Committee members. Their contribution shows that the CVC has a dynamic, active, and promising scientific community.
We hope you all enjoy this Eighth workshop and we are looking forward to meeting you and new people next year in the Ninth CVCR&D. |
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Jorge Bernal; David Vazquez |
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978-84-940902-2-6 |
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no |
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ADAS @ adas @ BeV2013 |
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2339 |
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Author |
Michal Drozdzal; Santiago Segui; Petia Radeva; Jordi Vitria; Laura Igual |
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Title |
System and Method for Displaying Motility Events in an in Vivo Image Stream |
Type |
Patent |
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Year |
2011 |
Publication |
US 61/592,786 |
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Address |
Given Imaging |
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US Patent Office |
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MILAB; OR;MV |
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no |
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Admin @ si @ DSR2011 |
Serial |
1897 |
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Author |
Albert Andaluz; Francesc Carreras; Cristina Santa Marta;Debora Gil |
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Title |
Myocardial torsion estimation with Tagged-MRI in the OsiriX platform |
Type |
Conference Article |
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Year |
2012 |
Publication |
ISBI Workshop on Open Source Medical Image Analysis software |
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Abstract |
Myocardial torsion (MT) plays a crucial role in the assessment of the functionality of the
left ventricle. For this purpose, the IAM group at the CVC has developed the Harmonic Phase Flow (HPF) plugin for the Osirix DICOM platform . We have validated its funcionalty on sequences acquired using different protocols and including healthy and pathological cases. Results show similar torsion trends for SPAMM acquisitions, with pathological cases introducing expected deviations from the ground truth. Finally, we provide the plugin free of charge at http://iam.cvc.uab.es |
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Barcelona, Spain |
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IEEE |
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Wiro Niessen (Erasmus MC) and Marc Modat (UCL) |
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ISBI |
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IAM |
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no |
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IAM @ iam @ ACS2012 |
Serial |
1900 |
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Permanent link to this record |
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Author |
Marçal Rusiñol; V. Poulain d'Andecy; Dimosthenis Karatzas; Josep Llados |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Classification of Administrative Document Images by Logo Identification |
Type |
Conference Article |
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Year |
2013 |
Publication |
10th IAPR International Workshop on Graphics Recognition |
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This paper is focused on the categorization of administrative document images (such as invoices) based on the recognition of the supplier's graphical logo. Two different methods are proposed, the first one uses a bag-of-visual-words model whereas the second one tries to locate logo images described by the blurred shape model descriptor within documents by a sliding-window technique. Preliminar results are reported with a dataset of real administrative documents. |
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Bethlehem; PA; USA; August 2013 |
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GREC |
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DAG; 600.056; 600.045; 605.203 |
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Call Number |
Admin @ si @ |
Serial |
2348 |
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Permanent link to this record |
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Author |
Marçal Rusiñol; Dimosthenis Karatzas; Josep Llados |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Spotting Graphical Symbols in Camera-Acquired Documents in Real Time |
Type |
Conference Article |
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Year |
2013 |
Publication |
10th IAPR International Workshop on Graphics Recognition |
Abbreviated Journal |
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In this paper we present a system devoted to spot graphical symbols in camera-acquired document images. The system is based on the extraction and further matching of ORB compact local features computed over interest key-points. Then, the FLANN indexing framework based on approximate nearest neighbor search allows to efficiently match local descriptors between the captured scene and the graphical models. Finally, the RANSAC algorithm is used in order to compute the homography between the spotted symbol and its appearance in the document image. The proposed approach is efficient and is able to work in real time. |
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Bethlehem; PA; USA; August 2013 |
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GREC |
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DAG; 600.045; 600.055; 600.061; 602.101 |
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no |
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Admin @ si @ RKL2013 |
Serial |
2347 |
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Author |
Jiaolong Xu; Sebastian Ramos; Xu Hu; David Vazquez; Antonio Lopez |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Multi-task Bilinear Classifiers for Visual Domain Adaptation |
Type |
Conference Article |
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Year |
2013 |
Publication |
Advances in Neural Information Processing Systems Workshop |
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Domain Adaptation; Pedestrian Detection; ADAS |
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Abstract |
We propose a method that aims to lessen the significant accuracy degradation
that a discriminative classifier can suffer when it is trained in a specific domain (source domain) and applied in a different one (target domain). The principal reason for this degradation is the discrepancies in the distribution of the features that feed the classifier in different domains. Therefore, we propose a domain adaptation method that maps the features from the different domains into a common subspace and learns a discriminative domain-invariant classifier within it. Our algorithm combines bilinear classifiers and multi-task learning for domain adaptation.
The bilinear classifier encodes the feature transformation and classification
parameters by a matrix decomposition. In this way, specific feature transformations for multiple domains and a shared classifier are jointly learned in a multi-task learning framework. Focusing on domain adaptation for visual object detection, we apply this method to the state-of-the-art deformable part-based model for cross domain pedestrian detection. Experimental results show that our method significantly avoids the domain drift and improves the accuracy when compared to several baselines. |
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Lake Tahoe; Nevada; USA; December 2013 |
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NIPSW |
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ADAS; 600.054; 600.057; 601.217;ISE |
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no |
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ADAS @ adas @ XRH2013 |
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2340 |
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Author |
Hany Salah Eldeen |
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Title |
Colour Naming in Context through a Perceptual Model |
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Report |
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Year |
2009 |
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CVC Technical Report |
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130 |
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Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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Admin @ si @ Eld2009 |
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2389 |
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Author |
Naila Murray |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Perceptual Feature Detection |
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Report |
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2009 |
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CVC Technical Report |
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131 |
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Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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CIC |
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no |
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Admin @ si @ Mur2009 |
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2390 |
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Author |
Josep M. Gonfaus |
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Title |
Semantic Segmentation of Images Using Random Ferns |
Type |
Report |
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2009 |
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CVC Technical Report |
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132 |
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Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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ISE |
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no |
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Admin @ si @ Gon2009 |
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2391 |
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Permanent link to this record |
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Author |
Alejandro Gonzalez Alzate |
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Title |
Evaluation of spatiotemporal descriptors for pedestrian detection in video sequences |
Type |
Report |
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2011 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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166 |
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Bellaterra (Spain) |
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Computer Vision Center |
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Master's thesis |
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Admin @ si @ Gon2011 |
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1932 |
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Author |
Yainuvis Socarras |
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Title |
Image segmentation for improving pedestrian detection |
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Report |
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Year |
2011 |
Publication |
CVC Technical Report |
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167 |
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Bellaterra (Spain) |
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Computer Vision Center |
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Master's thesis |
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ADAS; |
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no |
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Admin @ si @ Soc2011 |
Serial |
1933 |
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