| Records |
| Author |
Fernando Vilariño |
| Title |
A Machine Learning Approach for Intestinal Motility Assessment with Capsule Endoscopy |
Type |
Book Whole |
| Year |
2006 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
Intestinal motility assessment with video capsule endoscopy arises as a novel and challenging clinical fieldwork. This technique is based on the analysis of the patterns of intestinal contractions obtained by labelling all the motility events present in a video provided by a capsule with a wireless micro-camera, which is ingested by the patient. However, the visual analysis of these video sequences presents several im- portant drawbacks, mainly related to both the large amount of time needed for the visualization process, and the low prevalence of intestinal contractions in video.
In this work we propose a machine learning system to automatically detect the intestinal contractions in video capsule endoscopy, driving a very useful but not fea- sible clinical routine into a feasible clinical procedure. Our proposal is divided into two different parts: The first part tackles the problem of the automatic detection of phasic contractions in capsule endoscopy videos. Phasic contractions are dynamic events spanning about 4-5 seconds, which show visual patterns with a high variability. Our proposal is based on a sequential design which involves the analysis of textural, color and blob features with powerful classifiers such as SVM. This approach appears to cope with two basic aims: the reduction of the imbalance rate of the data set, and the modular construction of the system, which adds the capability of including domain knowledge as new stages in the cascade. The second part of the current work tackles the problem of the automatic detection of tonic contractions. Tonic contrac- tions manifest in capsule endoscopy as a sustained pattern of the folds and wrinkles of the intestine, which may be prolonged for an undetermined span of time. Our proposal is based on the analysis of the wrinkle patterns, presenting a comparative study of diverse features and classification methods, and providing a set of appro- priate descriptors for their characterization. We provide a detailed analysis of the performance achieved by our system both in a qualitative and a quantitative way. |
| Address |
CVC (UAB) |
| Corporate Author |
|
Thesis |
Ph.D. thesis |
Publisher  |
|
Place of Publication |
|
Editor |
Petia Radeva |
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
84-933652-7-0 |
Edition |
|
| ISSN |
|
ISBN |
|
Medium |
|
| Area |
800 |
Expedition |
|
Conference |
|
| Notes |
MV;SIAI |
Approved |
no |
| Call Number |
Admin @ si @ Vil2006; IAM @ iam @ Vil2006 |
Serial |
738 |
| Permanent link to this record |
| |
|
| |
| Author |
Josep Llados |
| Title |
Computer Vision: Progress of Research and Development |
Type |
Book Whole |
| Year |
2006 |
Publication |
1st CVC Internal Workshop Computer Vision: Progress of Research and Development, |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
|
| Address |
|
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
J. Llados (ed.), |
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
84-933652-8-9 |
Medium |
|
| Area |
|
Expedition |
|
Conference |
CVCRD |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ Lla2006b |
Serial |
766 |
| Permanent link to this record |
| |
|
| |
| Author |
F. Pla; Petia Radeva; Jordi Vitria |
| Title |
Pattern Recognition: Progress, Directions and Applications |
Type |
Book Whole |
| Year |
2006 |
Publication |
|
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
|
| Address |
|
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
84-933652-6-2 |
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
OR;MILAB;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ PRV2006b |
Serial |
771 |
| Permanent link to this record |
| |
|
| |
| Author |
W. Liu; Josep Llados |
| Title |
Graphics Recognition. Ten Years Review and Future Perspectives |
Type |
Book Whole |
| Year |
2006 |
Publication |
6th International Workshop |
Abbreviated Journal |
|
| Volume |
3926 |
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
|
| Address |
Hong Kong (China) |
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
LNCS |
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
GREC |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ LiL2006 |
Serial |
800 |
| Permanent link to this record |
| |
|
| |
| Author |
Josep Llados; W. Liu; Jean-Marc Ogier |
| Title |
Seventh IAPR International Workshop on Graphics Recognition GREC 2007 |
Type |
Book Whole |
| Year |
2007 |
Publication |
|
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
|
| Address |
Curitiba (Brazil) |
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ LLO2007 |
Serial |
835 |
| Permanent link to this record |
| |
|
| |
| Author |
Joan Marti; Jose Miguel Benedi; Ana Maria Mendonça; Joan Serrat |
| Title |
Pattern Recognition and Image Analysis |
Type |
Book Whole |
| Year |
2007 |
Publication |
3rd Iberian Conference |
Abbreviated Journal |
|
| Volume |
6669 |
Issue |
|
Pages |
4477-4478 |
| Keywords |
|
| Abstract |
|
| Address |
Girona (Spain) |
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
LNCS |
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
IbPRIA |
| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ MBM2007 |
Serial |
994 |
| Permanent link to this record |
| |
|
| |
| Author |
Jordi Gonzalez; Thomas B. Moeslund |
| Title |
Tracking Humans for the Evaluation of their Motion in Image Sequences |
Type |
Book Whole |
| Year |
2008 |
Publication |
First International Workshop, THEMIS |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
|
| Address |
Leeds (UK) |
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
978-84-935251-9-4 |
Medium |
|
| Area |
|
Expedition |
|
Conference |
THEMIS |
| Notes |
|
Approved |
no |
| Call Number |
ISE @ ise @ GMW2008 |
Serial |
1002 |
| Permanent link to this record |
| |
|
| |
| Author |
Juan J. Villanueva |
| Title |
Visualization, Imaging, and Image Processing, |
Type |
Book Whole |
| Year |
2008 |
Publication |
Proceedings of the Eight IASTED International Conference |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
|
| Address |
Palma de Mallorca (Spain) |
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
978-0-88986-759-8 |
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
|
Approved |
no |
| Call Number |
ISE @ ise @ Vil2008 |
Serial |
1003 |
| Permanent link to this record |
| |
|
| |
| Author |
Liu Wenyin; Josep Llados; Jean-Marc Ogier |
| Title |
Graphics Recognition. Recent Advances and New Opportunities. |
Type |
Book Whole |
| Year |
2008 |
Publication |
7th International Workshop, Selected Papers, |
Abbreviated Journal |
|
| Volume |
5046 |
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
|
| Address |
Curitiba (Brazil) |
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
LNCS |
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
978-3-540-88184-1 |
Medium |
|
| Area |
|
Expedition |
|
Conference |
GREC |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ WLO2008 |
Serial |
1012 |
| Permanent link to this record |
| |
|
| |
| Author |
Alfons Juan-Ciscar; Gemma Sanchez |
| Title |
PRIS 2008. Pattern Recognition in Information Systems. Proceedings of the 8th international Workshop on Pattern Recognition in Information systems – PRIS 2008, in conjunction with ICEIS 2008 |
Type |
Book Whole |
| Year |
2008 |
Publication |
|
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
|
| Address |
Barcelona (Spain) |
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ JuS2008 |
Serial |
1054 |
| Permanent link to this record |
| |
|
| |
| Author |
Miquel Ferrer |
| Title |
Theory and Algorithms on the Median Graph. Application to Graph-based Classification and Clustering |
Type |
Book Whole |
| Year |
2008 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
|
| Address |
|
| Corporate Author |
|
Thesis |
Ph.D. thesis |
| Publisher |
|
Place of Publication |
|
Editor |
Francesc Serratosa Casanelles;Ernest Valveny |
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
|
Medium |
|
| Area |
|
Expedition |
978-84-935251-7-0 |
Conference |
|
| Notes |
|
Approved |
no |
| Call Number |
Admin @ si @ Fer2008 |
Serial |
1105 |
| Permanent link to this record |
| |
|
| |
| Author |
Robert Benavente; Laura Igual; Fernando Vilariño |
| Title |
Current Challenges in Computer Vision |
Type |
Book Whole |
| Year |
2008 |
Publication |
Proccedings of the Third Internal Workshop |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
|
| Address |
|
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
|
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
978-84-936529-0-6 |
Medium |
|
| Area |
|
Expedition |
|
Conference |
CVCRD |
| Notes |
MILAB;CIC;SIAI |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ BIV2008 |
Serial |
1110 |
| Permanent link to this record |
| |
|
| |
| Author |
Angel Sappa (ed) |
| Title |
Computer Graphics and Imaging |
Type |
Book Whole |
| Year |
2010 |
Publication |
Computer Graphics and Imaging |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
|
| Address |
|
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
|
Editor |
Angel Sappa |
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
978–0–88986–836–6 |
Medium |
|
| Area |
|
Expedition |
|
Conference |
CGIM |
| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ Sap2010 |
Serial |
1468 |
| Permanent link to this record |
| |
|
| |
| Author |
Eduard Vazquez |
| Title |
Unsupervised image segmentation based on material reflectance description and saliency |
Type |
Book Whole |
| Year |
2011 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
Image segmentations aims to partition an image into a set of non-overlapped regions, called segments. Despite the simplicity of the definition, image segmentation raises as a very complex problem in all its stages. The definition of segment is still unclear. When asking to a human to perform a segmentation, this person segments at different levels of abstraction. Some segments might be a single, well-defined texture whereas some others correspond with an object in the scene which might including multiple textures and colors. For this reason, segmentation is divided in bottom-up segmentation and top-down segmentation. Bottom up-segmentation is problem independent, that is, focused on general properties of the images such as textures or illumination. Top-down segmentation is a problem-dependent approach which looks for specific entities in the scene, such as known objects. This work is focused on bottom-up segmentation. Beginning from the analysis of the lacks of current methods, we propose an approach called RAD. Our approach overcomes the main shortcomings of those methods which use the physics of the light to perform the segmentation. RAD is a topological approach which describes a single-material reflectance. Afterwards, we cope with one of the main problems in image segmentation: non supervised adaptability to image content. To yield a non-supervised method, we use a model of saliency yet presented in this thesis. It computes the saliency of the chromatic transitions of an image by means of a statistical analysis of the images derivatives. This method of saliency is used to build our final approach of segmentation: spRAD. This method is a non-supervised segmentation approach. Our saliency approach has been validated with a psychophysical experiment as well as computationally, overcoming a state-of-the-art saliency method. spRAD also outperforms state-of-the-art segmentation techniques as results obtained with a widely-used segmentation dataset show |
| Address |
|
| Corporate Author |
|
Thesis |
Ph.D. thesis |
| Publisher |
|
Place of Publication |
|
Editor |
Ramon Baldrich |
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
CIC |
Approved |
no |
| Call Number |
Admin @ si @ Vaz2011b |
Serial |
1835 |
| Permanent link to this record |
| |
|
| |
| Author |
Fahad Shahbaz Khan |
| Title |
Coloring bag-of-words based image representations |
Type |
Book Whole |
| Year |
2011 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
Put succinctly, the bag-of-words based image representation is the most successful approach for object and scene recognition. Within the bag-of-words framework the optimal fusion of multiple cues, such as shape, texture and color, still remains an active research domain. There exist two main approaches to combine color and shape information within the bag-of-words framework. The first approach called, early fusion, fuses color and shape at the feature level as a result of which a joint colorshape vocabulary is produced. The second approach, called late fusion, concatenates histogram representation of both color and shape, obtained independently. In the first part of this thesis, we analyze the theoretical implications of both early and late feature fusion. We demonstrate that both these approaches are suboptimal for a subset of object categories. Consequently, we propose a novel method for recognizing object categories when using multiple cues by separately processing the shape and color cues and combining them by modulating the shape features by category specific color attention. Color is used to compute bottom-up and top-down attention maps. Subsequently, the color attention maps are used to modulate the weights of the shape features. Shape features are given more weight in regions with higher attention and vice versa. The approach is tested on several benchmark object recognition data sets and the results clearly demonstrate the effectiveness of our proposed method. In the second part of the thesis, we investigate the problem of obtaining compact spatial pyramid representations for object and scene recognition. Spatial pyramids have been successfully applied to incorporate spatial information into bag-of-words based image representation. However, a major drawback of spatial pyramids is that it leads to high dimensional image representations. We present a novel framework for obtaining compact pyramid representation. The approach reduces the size of a high dimensional pyramid representation upto an order of magnitude without any significant reduction in accuracy. Moreover, we also investigate the optimal combination of multiple features such as color and shape within the context of our compact pyramid representation. Finally, we describe a novel technique to build discriminative visual words from multiple cues learned independently from training images. To this end, we use an information theoretic vocabulary compression technique to find discriminative combinations of visual cues and the resulting visual vocabulary is compact, has the cue binding property, and supports individual weighting of cues in the final image representation. The approach is tested on standard object recognition data sets. The results obtained clearly demonstrate the effectiveness of our approach. |
| Address |
|
| Corporate Author |
|
Thesis |
Ph.D. thesis |
| Publisher |
|
Place of Publication |
|
Editor |
Joost Van de Weijer;Maria Vanrell |
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
|
| Notes |
CIC |
Approved |
no |
| Call Number |
Admin @ si @ Kha2011 |
Serial |
1838 |
| Permanent link to this record |
