Records |
Author |
Xavier Boix |
Title |
Learning Conditional Random Fields for Stereo |
Type |
Report |
Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
136 |
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 ![sorted by Place of Publication field, ascending order (up)](img/sort_asc.gif) |
Bellaterra, Barcelona |
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Notes |
CIC |
Approved |
no |
Call Number |
Admin @ si @ Boi2009 |
Serial |
2395 |
Permanent link to this record |
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Author |
Shida Beigpour |
Title |
Physics-based Reflectance Estimation Applied to Recoloring |
Type |
Report |
Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
137 |
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 ![sorted by Place of Publication field, ascending order (up)](img/sort_asc.gif) |
Bellaterra, Barcelona |
Editor |
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Notes |
CIC |
Approved |
no |
Call Number |
Admin @ si @ Bei2009 |
Serial |
2396 |
Permanent link to this record |
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Author |
Jose Carlos Rubio |
Title |
Graph matching based on graphical models with application to vehicle tracking and classification at night |
Type |
Report |
Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
|
Volume |
144 |
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 ![sorted by Place of Publication field, ascending order (up)](img/sort_asc.gif) |
Bellaterra, Barcelona |
Editor |
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Summary Language |
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Series Editor |
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Series Title |
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ISSN |
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Conference |
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Notes |
CIC |
Approved |
no |
Call Number |
Admin @ si @ Rub2009 |
Serial |
2398 |
Permanent link to this record |
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Author |
Farshad Nourbakhsh |
Title |
Colour logo recognition |
Type |
Report |
Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
145 |
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 ![sorted by Place of Publication field, ascending order (up)](img/sort_asc.gif) |
Bellaterra, Barcelona |
Editor |
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Series Editor |
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Series Volume |
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Series Issue |
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Notes |
DAG |
Approved |
no |
Call Number |
Admin @ si @ Nou2009 |
Serial |
2399 |
Permanent link to this record |
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Author |
Enric Sala |
Title |
Off-line person-dependent signature verification |
Type |
Report |
Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
146 |
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 ![sorted by Place of Publication field, ascending order (up)](img/sort_asc.gif) |
Bellaterra, Barcelona |
Editor |
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Edition |
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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 |
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Approved |
no |
Call Number |
Admin @ si @ Sal2009 |
Serial |
2400 |
Permanent link to this record |
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Author |
Wenjuan Gong |
Title |
Action priors for human pose tracking by particle filter |
Type |
Report |
Year |
2009 |
Publication |
CVC Technical Report |
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 |
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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 ![sorted by Place of Publication field, ascending order (up)](img/sort_asc.gif) |
Bellaterra, Barcelona |
Editor |
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Series Issue |
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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 |
ISE |
Approved |
no |
Call Number |
Admin @ si @ Gon2009 |
Serial |
2401 |
Permanent link to this record |
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Author |
Diego Alejandro Cheda |
Title |
Monocular egomotion estimation for ADAS application |
Type |
Report |
Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
|
Volume |
148 |
Issue |
|
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 |
Ph.D. thesis |
Publisher |
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Place of Publication ![sorted by Place of Publication field, ascending order (up)](img/sort_asc.gif) |
Bellaterra, Barcelona |
Editor |
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Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
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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 |
ADAS |
Approved |
no |
Call Number |
Admin @ si @ Che2009 |
Serial |
2402 |
Permanent link to this record |
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|
Author |
Aura Hernandez-Sabate; Debora Gil; David Roche; Monica M. S. Matsumoto; Sergio S. Furuie |
Title |
Inferring the Performance of Medical Imaging Algorithms |
Type |
Conference Article |
Year |
2011 |
Publication |
14th International Conference on Computer Analysis of Images and Patterns |
Abbreviated Journal |
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Volume |
6854 |
Issue |
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Pages |
520-528 |
Keywords |
Validation, Statistical Inference, Medical Imaging Algorithms. |
Abstract |
Evaluation of the performance and limitations of medical imaging algorithms is essential to estimate their impact in social, economic or clinical aspects. However, validation of medical imaging techniques is a challenging task due to the variety of imaging and clinical problems involved, as well as, the difficulties for systematically extracting a reliable solely ground truth. Although specific validation protocols are reported in any medical imaging paper, there are still two major concerns: definition of standardized methodologies transversal to all problems and generalization of conclusions to the whole clinical data set.
We claim that both issues would be fully solved if we had a statistical model relating ground truth and the output of computational imaging techniques. Such a statistical model could conclude to what extent the algorithm behaves like the ground truth from the analysis of a sampling of the validation data set. We present a statistical inference framework reporting the agreement and describing the relationship of two quantities. We show its transversality by applying it to validation of two different tasks: contour segmentation and landmark correspondence. |
Address |
Sevilla |
Corporate Author |
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Thesis |
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Publisher |
Springer-Verlag Berlin Heidelberg |
Place of Publication ![sorted by Place of Publication field, ascending order (up)](img/sort_asc.gif) |
Berlin |
Editor |
Pedro Real; Daniel Diaz-Pernil; Helena Molina-Abril; Ainhoa Berciano; Walter Kropatsch |
Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
L |
Abbreviated Series Title |
LNCS |
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Series Issue |
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Edition |
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ISSN |
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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 |
CAIP |
Notes |
IAM; ADAS |
Approved |
no |
Call Number |
IAM @ iam @ HGR2011 |
Serial |
1676 |
Permanent link to this record |
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Author |
Farhan Riaz; Fernando Vilariño; Mario Dinis-Ribeiro; Miguel Coimbraln |
Title |
Identifying Potentially Cancerous Tissues in Chromoendoscopy Images |
Type |
Conference Article |
Year |
2011 |
Publication |
5th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
|
Volume |
6669 |
Issue |
|
Pages |
709-716 |
Keywords |
Endoscopy, Computer Assisted Diagnosis, Gradient. |
Abstract |
The dynamics of image acquisition conditions for gastroenterology imaging scenarios pose novel challenges for automatic computer assisted decision systems. Such systems should have the ability to mimic the tissue characterization of the physicians. In this paper, our objective is to compare some feature extraction methods to classify a Chromoendoscopy image into two different classes: Normal and Potentially cancerous. Results show that LoG filters generally give best classification accuracy among the other feature extraction methods considered. |
Address |
Las Palmas de Gran Canaria. Spain |
Corporate Author |
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Thesis |
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Publisher |
Springer |
Place of Publication ![sorted by Place of Publication field, ascending order (up)](img/sort_asc.gif) |
Berlin |
Editor |
J. Vitria, J.M. Sanches, and M. Hernandez |
Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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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 |
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ISBN |
978-3-642-21256-7 |
Medium |
|
Area |
800 |
Expedition |
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Conference |
IbPRIA |
Notes |
MV;SIAI |
Approved |
no |
Call Number |
Admin @ si @ RVD2011; IAM @ iam @ RVD2011 |
Serial |
1726 |
Permanent link to this record |
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Author |
Jordi Vitria; Joao Sanchez; Miguel Raposo; Mario Hernandez |
Title |
Pattern Recognition and Image Analysis |
Type |
Book Whole |
Year |
2011 |
Publication |
5th Iberian Conference Pattern Recognition and Image Analysis |
Abbreviated Journal |
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Volume |
6669 |
Issue |
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Pages |
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Keywords |
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Abstract |
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Address |
Las Palmas de Gran Canaria. Spain |
Corporate Author |
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Thesis |
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Publisher |
Springer-Verlag |
Place of Publication ![sorted by Place of Publication field, ascending order (up)](img/sort_asc.gif) |
Berlin |
Editor |
J. Vitrià; J. Sanchez; M. Raposo; M. Hernandez |
Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
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ISBN |
978-3-642-2125 |
Medium |
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Area |
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Expedition |
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Conference |
IbPRIA |
Notes |
OR;MV |
Approved |
no |
Call Number |
Admin @ si @ VSR2011 |
Serial |
1730 |
Permanent link to this record |
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Author |
Jon Almazan; Ernest Valveny; Alicia Fornes |
Title |
Deforming the Blurred Shape Model for Shape Description and Recognition |
Type |
Conference Article |
Year |
2011 |
Publication |
5th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
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Volume |
6669 |
Issue |
|
Pages |
1-8 |
Keywords |
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Abstract |
This paper presents a new model for the description and recognition of distorted shapes, where the image is represented by a pixel density distribution based on the Blurred Shape Model combined with a non-linear image deformation model. This leads to an adaptive structure able to capture elastic deformations in shapes. This method has been evaluated using thee different datasets where deformations are present, showing the robustness and good performance of the new model. Moreover, we show that incorporating deformation and flexibility, the new model outperforms the BSM approach when classifying shapes with high variability of appearance. |
Address |
Las Palmas de Gran Canaria. Spain |
Corporate Author |
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Thesis |
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Publisher |
Springer-Verlag |
Place of Publication ![sorted by Place of Publication field, ascending order (up)](img/sort_asc.gif) |
Berlin |
Editor |
Jordi Vitria; Joao Miguel Raposo; Mario Hernandez |
Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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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 |
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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 |
IbPRIA |
Notes |
DAG; |
Approved |
no |
Call Number |
Admin @ si @ AVF2011 |
Serial |
1732 |
Permanent link to this record |
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Author |
Marçal Rusiñol; David Aldavert; Dimosthenis Karatzas; Ricardo Toledo; Josep Llados |
Title |
Interactive Trademark Image Retrieval by Fusing Semantic and Visual Content. Advances in Information Retrieval |
Type |
Conference Article |
Year |
2011 |
Publication |
33rd European Conference on Information Retrieval |
Abbreviated Journal |
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Volume |
6611 |
Issue |
|
Pages |
314-325 |
Keywords |
|
Abstract |
In this paper we propose an efficient queried-by-example retrieval system which is able to retrieve trademark images by similarity from patent and trademark offices' digital libraries. Logo images are described by both their semantic content, by means of the Vienna codes, and their visual contents, by using shape and color as visual cues. The trademark descriptors are then indexed by a locality-sensitive hashing data structure aiming to perform approximate k-NN search in high dimensional spaces in sub-linear time. The resulting ranked lists are combined by using the Condorcet method and a relevance feedback step helps to iteratively revise the query and refine the obtained results. The experiments demonstrate the effectiveness and efficiency of this system on a realistic and large dataset. |
Address |
Dublin, Ireland |
Corporate Author |
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Thesis |
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Publisher |
Springer |
Place of Publication ![sorted by Place of Publication field, ascending order (up)](img/sort_asc.gif) |
Berlin |
Editor |
P. Clough; C. Foley; C. Gurrin; G.J.F. Jones; W. Kraaij; H. Lee; V. Murdoch |
Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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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 |
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ISBN |
978-3-642-20160-8 |
Medium |
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Area |
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Expedition |
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Conference |
ECIR |
Notes |
DAG; RV;ADAS |
Approved |
no |
Call Number |
Admin @ si @ RAK2011 |
Serial |
1737 |
Permanent link to this record |
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|
Author |
Anjan Dutta; Josep Llados; Umapada Pal |
Title |
A Bag-of-Paths Based Serialized Subgraph Matching for Symbol Spotting in Line Drawings |
Type |
Conference Article |
Year |
2011 |
Publication |
5th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
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Volume |
6669 |
Issue |
|
Pages |
620-627 |
Keywords |
|
Abstract |
In this paper we propose an error tolerant subgraph matching algorithm based on bag-of-paths for solving the problem of symbol spotting in line drawings. Bag-of-paths is a factorized representation of graphs where the factorization is done by considering all the acyclic paths between each pair of connected nodes. Similar paths within the whole collection of documents are clustered and organized in a lookup table for efficient indexing. The lookup table contains the index key of each cluster and the corresponding list of locations as a single entry. The mean path of each of the clusters serves as the index key for each table entry. The spotting method is then formulated by a spatial voting scheme to the list of locations of the paths that are decided in terms of search of similar paths that compose the query symbol. Efficient indexing of common substructures helps to reduce the computational burden of usual graph based methods. The proposed method can also be seen as a way to serialize graphs which allows to reduce the complexity of the subgraph isomorphism. We have encoded the paths in terms of both attributed strings and turning functions, and presented a comparative results between them within the symbol spotting framework. Experimentations for matching different shape silhouettes are also reported and the method has been proved to work in noisy environment also. |
Address |
Las Palmas de Gran Canaria. Spain |
Corporate Author |
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Thesis |
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Publisher |
Springer Berlin Heidelberg |
Place of Publication ![sorted by Place of Publication field, ascending order (up)](img/sort_asc.gif) |
Berlin |
Editor |
Jordi Vitria; Joao Miguel Raposo; Mario Hernandez |
Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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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 |
978-3-642-21256-7 |
Medium |
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Area |
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Expedition |
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Conference |
IbPRIA |
Notes |
DAG |
Approved |
no |
Call Number |
Admin @ si @ DLP2011a |
Serial |
1738 |
Permanent link to this record |
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Author |
Marina Alberti; Carlo Gatta; Simone Balocco; Francesco Ciompi; Oriol Pujol; Joana Silva; Xavier Carrillo; Petia Radeva |
Title |
Automatic Branching Detection in IVUS Sequences |
Type |
Conference Article |
Year |
2011 |
Publication |
5th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
|
Volume |
6669 |
Issue |
|
Pages |
126-133 |
Keywords |
|
Abstract |
Atherosclerosis is a vascular pathology affecting the arterial walls, generally located in specific vessel sites, such as bifurcations. In this paper, for the first time, a fully automatic approach for the detection of bifurcations in IVUS pullback sequences is presented. The method identifies the frames and the angular sectors in which a bifurcation is visible. This goal is achieved by applying a classifier to a set of textural features extracted from each image of an IVUS pullback. A comparison between two state-of-the-art classifiers is performed, AdaBoost and Random Forest. A cross-validation scheme is applied in order to evaluate the performances of the approaches. The obtained results are encouraging, showing a sensitivity of 75% and an accuracy of 94% by using the AdaBoost algorithm. |
Address |
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Corporate Author |
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Thesis |
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Publisher |
Springer Berlin Heidelberg |
Place of Publication ![sorted by Place of Publication field, ascending order (up)](img/sort_asc.gif) |
Berlin |
Editor |
Jordi Vitria; Joao Miguel Raposo; Mario Hernandez |
Language |
|
Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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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 |
978-3-642-21256-7 |
Medium |
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Area |
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Expedition |
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Conference |
IbPRIA |
Notes |
MILAB;HuPBA |
Approved |
no |
Call Number |
Admin @ si @ AGB2011 |
Serial |
1740 |
Permanent link to this record |
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Author |
Simone Balocco; Carlo Gatta; Francesco Ciompi; Oriol Pujol; Xavier Carrillo; J. Mauri; Petia Radeva |
Title |
Combining Growcut and Temporal Correlation for IVUS Lumen Segmentation |
Type |
Conference Article |
Year |
2011 |
Publication |
5th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
|
Volume |
6669 |
Issue |
|
Pages |
556-563 |
Keywords |
|
Abstract |
The assessment of arterial luminal area, performed by IVUS analysis, is a clinical index used to evaluate the degree of coronary artery disease. In this paper we propose a novel approach to automatically segment the vessel lumen, which combines model-based temporal information extracted from successive frames of the sequence, with spatial classification using the Growcut algorithm. The performance of the method is evaluated by an in vivo experiment on 300 IVUS frames. The automatic and manual segmentation performances in general vessel and stent frames are comparable. The average segmentation error in vessel, stent and bifurcation frames are 0.17±0.08 mm, 0.18±0.07 mm and 0.31±0.12 mm respectively. |
Address |
Las Palmas de Gran Canaria. Spain |
Corporate Author |
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Thesis |
|
Publisher |
Springer Berlin Heidelberg |
Place of Publication ![sorted by Place of Publication field, ascending order (up)](img/sort_asc.gif) |
Berlin |
Editor |
Jordi Vitria; Joao Miguel Raposo; Mario Hernandez |
Language |
|
Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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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 |
978-3-642-21256-7 |
Medium |
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Area |
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Expedition |
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Conference |
IbPRIA |
Notes |
MILAB;HuPBA |
Approved |
no |
Call Number |
Admin @ si @ BGC2011a |
Serial |
1741 |
Permanent link to this record |