| Records |
| Author |
Antonio Hernandez; Carlos Primo; Sergio Escalera |
| Title |
Automatic user interaction correction via Multi-label Graph cuts |
Type |
Conference Article |
| Year |
2011 |
Publication |
In ICCV 2011 1st IEEE International Workshop on Human Interaction in Computer Vision HICV |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
1276-1281 |
| Keywords |
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| Abstract |
Most applications in image segmentation requires from user interaction in order to achieve accurate results. However, user wants to achieve the desired segmentation accuracy reducing effort of manual labelling. In this work, we extend standard multi-label α-expansion Graph Cut algorithm so that it analyzes the interaction of the user in order to modify the object model and improve final segmentation of objects. The approach is inspired in the fact that fast user interactions may introduce some pixel errors confusing object and background. Our results with different degrees of user interaction and input errors show high performance of the proposed approach on a multi-label human limb segmentation problem compared with classical α-expansion algorithm. |
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Thesis |
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Place of Publication |
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Original Title |
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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 |
978-1-4673-0062-9 |
Medium |
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| Area |
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Expedition |
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Conference |
HICV |
| Notes |
MILAB; HuPBA |
Approved  |
no |
| Call Number |
Admin @ si @ HPE2011 |
Serial |
1892 |
| Permanent link to this record |
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| Author |
Miguel Reyes; Gabriel Dominguez; Sergio Escalera |
| Title |
Feature Weighting in Dynamic Time Warping for Gesture Recognition in Depth Data |
Type |
Conference Article |
| Year |
2011 |
Publication |
1st IEEE Workshop on Consumer Depth Cameras for Computer Vision |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
1182-1188 |
| Keywords |
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| Abstract |
We present a gesture recognition approach for depth video data based on a novel Feature Weighting approach within the Dynamic Time Warping framework. Depth features from human joints are compared through video sequences using Dynamic Time Warping, and weights are assigned to features based on inter-intra class gesture variability. Feature Weighting in Dynamic Time Warping is then applied for recognizing begin-end of gestures in data sequences. The obtained results recognizing several gestures in depth data show high performance compared with classical Dynamic Time Warping approach. |
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Editor |
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Original Title |
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Series Title |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
978-1-4673-0062-9 |
Medium |
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| Area |
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Expedition |
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Conference |
CDC4CV |
| Notes |
HuPBA;MILAB |
Approved |
no |
| Call Number |
Admin @ si @ RDE2011 |
Serial |
1893 |
| Permanent link to this record |
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| Author |
Michal Drozdzal; Santiago Segui; Petia Radeva; Jordi Vitria; Laura Igual |
| Title |
System and Method for Displaying Motility Events in an in Vivo Image Stream |
Type |
Patent |
| Year |
2011 |
Publication |
US 61/592,786 |
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 |
Given Imaging |
| Corporate Author |
US Patent Office |
Thesis |
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| Publisher |
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Place of Publication |
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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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Abbreviated Series Title |
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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 |
MILAB; OR;MV |
Approved |
no |
| Call Number |
Admin @ si @ DSR2011 |
Serial |
1897 |
| Permanent link to this record |
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| 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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Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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Edition |
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Medium |
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Expedition |
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Conference |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ Gon2011 |
Serial |
1932 |
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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 |
| Publisher |
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Place of Publication |
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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 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 @ Soc2011 |
Serial |
1933 |
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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 |
| Publisher |
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Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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Series Title |
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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 |
CiC;CIC |
Approved |
no |
| Call Number |
Admin @ si @ Dav2011 |
Serial |
1934 |
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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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| Volume |
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Issue |
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Pages |
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| Keywords |
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Place of Publication |
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Editor |
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Original Title |
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Expedition |
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Conference |
CartoHerit |
| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ RRL2011b |
Serial |
1978 |
| Permanent link to this record |
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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 |
Place of Publication |
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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 Title |
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Edition |
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ISBN |
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Medium |
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Expedition |
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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. |
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Abbreviated Series Title |
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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 |
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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. |
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Conference |
DCC |
| Notes |
CIC |
Approved |
no |
| Call Number |
Admin @ si @ MoO2011b |
Serial |
2177 |
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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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ISBN |
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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 |
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 |
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| 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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Edition |
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| ISSN |
1989-1199 |
ISBN |
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Conference |
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| Notes |
HuPBA; MILAB;MV |
Approved |
no |
| Call Number |
Admin @ si @ PGB2011d |
Serial |
2514 |
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| Author |
David Vazquez; Antonio Lopez; Daniel Ponsa; Javier Marin |
| Title |
Virtual Worlds and Active Learning for Human Detection |
Type |
Conference Article |
| Year |
2011 |
Publication |
13th International Conference on Multimodal Interaction |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
393-400 |
| Keywords |
Pedestrian Detection; Human detection; Virtual; Domain Adaptation; Active Learning |
| Abstract |
Image based human detection is of paramount interest due to its potential applications in fields such as advanced driving assistance, surveillance and media analysis. However, even detecting non-occluded standing humans remains a challenge of intensive research. The most promising human detectors rely on classifiers developed in the discriminative paradigm, i.e., trained with labelled samples. However, labeling is a manual intensive step, especially in cases like human detection where it is necessary to provide at least bounding boxes framing the humans for training. To overcome such problem, some authors have proposed the use of a virtual world where the labels of the different objects are obtained automatically. This means that the human models (classifiers) are learnt using the appearance of rendered images, i.e., using realistic computer graphics. Later, these models are used for human detection in images of the real world. The results of this technique are surprisingly good. However, these are not always as good as the classical approach of training and testing with data coming from the same camera, or similar ones. Accordingly, in this paper we address the challenge of using a virtual world for gathering (while playing a videogame) a large amount of automatically labelled samples (virtual humans and background) and then training a classifier that performs equal, in real-world images, than the one obtained by equally training from manually labelled real-world samples. For doing that, we cast the problem as one of domain adaptation. In doing so, we assume that a small amount of manually labelled samples from real-world images is required. To collect these labelled samples we propose a non-standard active learning technique. Therefore, ultimately our human model is learnt by the combination of virtual and real world labelled samples (Fig. 1), which has not been done before. We present quantitative results showing that this approach is valid. |
| Address |
Alicante, Spain |
| Corporate Author |
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Thesis |
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| Publisher |
ACM DL |
Place of Publication |
New York, NY, USA, USA |
Editor |
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| Language |
English |
Summary Language |
English |
Original Title |
Virtual Worlds and Active Learning for Human Detection |
| Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
978-1-4503-0641-6 |
Medium |
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| Area |
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Expedition |
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Conference |
ICMI |
| Notes |
ADAS |
Approved |
yes |
| Call Number |
ADAS @ adas @ VLP2011a |
Serial |
1683 |
| Permanent link to this record |
