Records |
Author |
Alejandro Gonzalez Alzate |
Title |
Evaluation of spatiotemporal descriptors for pedestrian detection in video sequences |
Type |
Report |
Year |
2011 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
166 |
Issue |
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Pages |
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Keywords |
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Abstract |
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Address |
Bellaterra (Spain) |
Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
Publisher |
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Notes |
ADAS |
Approved |
no |
Call Number |
Admin @ si @ Gon2011 |
Serial |
1932 |
Permanent link to this record |
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Author |
Yainuvis Socarras |
Title |
Image segmentation for improving pedestrian detection |
Type |
Report |
Year |
2011 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
167 |
Issue |
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Pages |
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Keywords |
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Abstract |
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Address |
Bellaterra (Spain) |
Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Notes |
ADAS; |
Approved |
no |
Call Number |
Admin @ si @ Soc2011 |
Serial |
1933 |
Permanent link to this record |
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Author |
Maria del Camp Davesa |
Title |
Human action categorization in image sequences |
Type |
Report |
Year |
2011 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
169 |
Issue |
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Pages |
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Keywords |
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Abstract |
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Address |
Bellaterra (Spain) |
Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Notes |
CiC;CIC |
Approved |
no |
Call Number |
Admin @ si @ Dav2011 |
Serial |
1934 |
Permanent link to this record |
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Author |
Marçal Rusiñol; R.Roset; Josep Llados; C.Montaner |
Title |
Automatic Index Generation of Digitized Map Series by Coordinate Extraction and Interpretation |
Type |
Conference Article |
Year |
2011 |
Publication |
In Proceedings of the Sixth International Workshop on Digital Technologies in Cartographic Heritage |
Abbreviated Journal |
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Conference |
CartoHerit |
Notes |
DAG |
Approved |
no |
Call Number |
Admin @ si @ RRL2011b |
Serial |
1978 |
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Author |
Sergio Vera; Debora Gil; Agnes Borras; F. Javier Sanchez; Frederic Perez; Marius G. Linguraru |
Title |
Computation and Evaluation of Medial Surfaces for Shape Representation of Abdominal Organs |
Type |
Conference Article |
Year |
2011 |
Publication |
Workshop on Computational and Clinical Applications in Abdominal Imaging |
Abbreviated Journal |
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Volume |
7029 |
Issue |
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Pages |
223-230 |
Keywords |
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Abstract |
Medial representations are powerful tools for describing and parameterizing the volumetric shape of anatomical structures. Existing methods show excellent results when applied to 2D objects, but their quality drops across dimensions. This paper contributes to the computation of medial manifolds in two aspects. First, we provide a standard scheme for the computation of medial manifolds that avoid degenerated medial axis segments; second, we introduce an energy based method which performs independently of the dimension. We evaluate quantitatively the performance of our method with respect to existing approaches, by applying them to synthetic shapes of known medial geometry. Finally, we show results on shape representation of multiple abdominal organs, exploring the use of medial manifolds for the representation of multi-organ relations. |
Address |
Nice, France |
Corporate Author |
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Thesis |
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Publisher |
Springer Berlin Heidelberg |
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Editor |
In H. Yoshida et al |
Language |
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Summary Language |
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Original Title |
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Series Editor |
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Conference |
ABDI |
Notes |
IAM; MV |
Approved |
no |
Call Number |
VGB2011 |
Serial |
2036 |
Permanent link to this record |
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Author |
Jaime Moreno; Xavier Otazu |
Title |
Image compression algorithm based on Hilbert scanning of embedded quadTrees: an introduction of the Hi-SET coder |
Type |
Conference Article |
Year |
2011 |
Publication |
IEEE International Conference on Multimedia and Expo |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
1-6 |
Keywords |
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Abstract |
In this work we present an effective and computationally simple algorithm for image compression based on Hilbert Scanning of Embedded quadTrees (Hi-SET). It allows to represent an image as an embedded bitstream along a fractal function. Embedding is an important feature of modern image compression algorithms, in this way Salomon in [1, pg. 614] cite that another feature and perhaps a unique one is the fact of achieving the best quality for the number of bits input by the decoder at any point during the decoding. Hi-SET possesses also this latter feature. Furthermore, the coder is based on a quadtree partition strategy, that applied to image transformation structures such as discrete cosine or wavelet transform allows to obtain an energy clustering both in frequency and space. The coding algorithm is composed of three general steps, using just a list of significant pixels. The implementation of the proposed coder is developed for gray-scale and color image compression. Hi-SET compressed images are, on average, 6.20dB better than the ones obtained by other compression techniques based on the Hilbert scanning. Moreover, Hi-SET improves the image quality in 1.39dB and 1.00dB in gray-scale and color compression, respectively, when compared with JPEG2000 coder. |
Address |
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Thesis |
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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 |
1945-7871 |
ISBN |
978-1-61284-348-3 |
Medium |
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Area |
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Expedition |
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Conference |
ICME |
Notes |
CIC |
Approved |
no |
Call Number |
Admin @ si @ MoO2011a |
Serial |
2176 |
Permanent link to this record |
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|
Author |
Jaime Moreno; Xavier Otazu |
Title |
Image coder based on Hilbert scanning of embedded quadTrees |
Type |
Conference Article |
Year |
2011 |
Publication |
Data Compression Conference |
Abbreviated Journal |
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Volume |
|
Issue |
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Pages |
470-470 |
Keywords |
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Abstract |
In this work we present an effective and computationally simple algorithm for image compression based on Hilbert Scanning of Embedded quadTrees (Hi-SET). It allows to represent an image as an embedded bitstream along a fractal function. Embedding is an important feature of modern image compression algorithms, in this way Salomon in [1, pg. 614] cite that another feature and perhaps a unique one is the fact of achieving the best quality for the number of bits input by the decoder at any point during the decoding. Hi-SET possesses also this latter feature. Furthermore, the coder is based on a quadtree partition strategy, that applied to image transformation structures such as discrete cosine or wavelet transform allows to obtain an energy clustering both in frequency and space. The coding algorithm is composed of three general steps, using just a list of significant pixels. |
Address |
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Thesis |
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Area |
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Expedition |
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Conference |
DCC |
Notes |
CIC |
Approved |
no |
Call Number |
Admin @ si @ MoO2011b |
Serial |
2177 |
Permanent link to this record |
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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 |
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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Thesis |
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Editor |
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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 |
800 |
Expedition |
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Conference |
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Notes |
MV |
Approved |
no |
Call Number |
fernando @ fernando @ |
Serial |
2426 |
Permanent link to this record |
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Author |
Victor Ponce; Mario Gorga; Xavier Baro; Petia Radeva; Sergio Escalera |
Title |
Análisis de la expresión oral y gestual en proyectos fin de carrera vía un sistema de visión artificial |
Type |
Journal Article |
Year |
2011 |
Publication |
ReVisión |
Abbreviated Journal |
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Volume |
4 |
Issue |
1 |
Pages |
|
Keywords |
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Abstract |
La comunicación y expresión oral es una competencia de especial relevancia en el EEES. No obstante, en muchas enseñanzas superiores la puesta en práctica de esta competencia ha sido relegada principalmente a la presentación de proyectos fin de carrera. Dentro de un proyecto de innovación docente, se ha desarrollado una herramienta informática para la extracción de información objetiva para el análisis de la expresión oral y gestual de los alumnos. El objetivo es dar un “feedback” a los estudiantes que les permita mejorar la calidad de sus presentaciones. El prototipo inicial que se presenta en este trabajo permite extraer de forma automática información audiovisual y analizarla mediante técnicas de aprendizaje. El sistema ha sido aplicado a 15 proyectos fin de carrera y 15 exposiciones dentro de una asignatura de cuarto curso. Los resultados obtenidos muestran la viabilidad del sistema para sugerir factores que ayuden tanto en el éxito de la comunicación así como en los criterios de evaluación. |
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Thesis |
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Publisher |
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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 |
1989-1199 |
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 |
HuPBA; MILAB;MV |
Approved |
no |
Call Number |
Admin @ si @ PGB2011d |
Serial |
2514 |
Permanent link to this record |
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Author |
Patricia Marquez; Debora Gil; Aura Hernandez-Sabate |
Title |
A Confidence Measure for Assessing Optical Flow Accuracy in the Absence of Ground Truth |
Type |
Conference Article |
Year |
2011 |
Publication |
IEEE International Conference on Computer Vision – Workshops |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
2042-2049 |
Keywords |
IEEE International Conference on Computer Vision – Workshops |
Abstract |
Optical flow is a valuable tool for motion analysis in autonomous navigation systems. A reliable application requires determining the accuracy of the computed optical flow. This is a main challenge given the absence of ground truth in real world sequences. This paper introduces a measure of optical flow accuracy for Lucas-Kanade based flows in terms of the numerical stability of the data-term. We call this measure optical flow condition number. A statistical analysis over ground-truth data show a good statistical correlation between the condition number and optical flow error. Experiments on driving sequences illustrate its potential for autonomous navigation systems. |
Address |
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Corporate Author |
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Thesis |
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Publisher |
IEEE |
Place of Publication ![sorted by Place of Publication field, ascending order (up)](img/sort_asc.gif) |
Barcelona (Spain) |
Editor |
|
Language |
English |
Summary Language |
English |
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 |
ICCVW |
Notes |
IAM; ADAS |
Approved |
no |
Call Number |
IAM @ iam @ MGH2011 |
Serial |
1682 |
Permanent link to this record |
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Author |
Debora Gil; Agnes Borras; Manuel Ballester; Francesc Carreras; Ruth Aris; Manuel Vazquez; Enric Marti; Ferran Poveda |
Title |
MIOCARDIA: Integrating cardiac function and muscular architecture for a better diagnosis |
Type |
Conference Article |
Year |
2011 |
Publication |
14th International Symposium on Applied Sciences in Biomedical and Communication Technologies |
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 |
Deep understanding of myocardial structure of the heart would unravel crucial knowledge for clinical and medical procedures. The MIOCARDIA project is a multidisciplinary project in cooperation with l'Hospital de la Santa Creu i de Sant Pau, Clinica la Creu Blanca and Barcelona Supercomputing Center. The ultimate goal of this project is defining a computational model of the myocardium. The model takes into account the deep interrelation between the anatomy and the mechanics of the heart. The paper explains the workflow of the MIOCARDIA project. It also introduces a multiresolution reconstruction technique based on DT-MRI streamlining for simplified global myocardial model generation. Our reconstructions can restore the most complex myocardial structures and provides evidences of a global helical organization. |
Address |
Barcelona; Spain |
Corporate Author |
Association for Computing Machinery |
Thesis |
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Publisher |
|
Place of Publication ![sorted by Place of Publication field, ascending order (up)](img/sort_asc.gif) |
Barcelona, Spain |
Editor |
Association for Computing Machinery |
Language |
english |
Summary Language |
english |
Original Title |
|
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 |
|
ISBN |
978-1-4503-0913-4 |
Medium |
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Area |
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Expedition |
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Conference |
ISABEL |
Notes |
IAM |
Approved |
no |
Call Number |
IAM @ iam @ GGB2011 |
Serial |
1691 |
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 |
|
Volume |
6854 |
Issue |
|
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 |
|
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 |
|
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 |
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 |
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 |
|
Thesis |
|
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 |
|
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 |
|
ISBN |
978-3-642-21256-7 |
Medium |
|
Area |
800 |
Expedition |
|
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 |
|
Pages |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |