| Records |
| Author |
Fernando Vilariño |
| Title |
A Machine Learning Approach for Intestinal Motility Assessment with Capsule Endoscopy |
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Book Whole |
| Year |
2006 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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| 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) |
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Ph.D. thesis |
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Editor |
Petia Radeva |
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84-933652-7-0 |
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800 |
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MV;SIAI |
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no |
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Admin @ si @ Vil2006; IAM @ iam @ Vil2006 |
Serial |
738 |
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| Author |
Josep Llados |
| Title |
Computer Vision: Progress of Research and Development |
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Book Whole |
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2006 |
Publication |
1st CVC Internal Workshop Computer Vision: Progress of Research and Development, |
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J. Llados (ed.), |
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84-933652-8-9 |
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CVCRD |
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DAG |
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no |
| Call Number |
DAG @ dag @ Lla2006b |
Serial |
766 |
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| Author |
F. Pla; Petia Radeva; Jordi Vitria |
| Title |
Pattern Recognition: Progress, Directions and Applications |
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| Year |
2006 |
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84-933652-6-2 |
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OR;MILAB;MV |
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BCNPCL @ bcnpcl @ PRV2006b |
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771 |
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| Author |
W. Liu; Josep Llados |
| Title |
Graphics Recognition. Ten Years Review and Future Perspectives |
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Book Whole |
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2006 |
Publication |
6th International Workshop |
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3926 |
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Hong Kong (China) |
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GREC |
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DAG |
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DAG @ dag @ LiL2006 |
Serial |
800 |
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| Author |
Zhong Jin; Franck Davoine; Zhen Lou; Jing-Yu Yang |
| Title |
A novel PCA-based Bayes classifier and face analysis |
Type |
Book Chapter |
| Year |
2006 |
Publication |
International Conference on Advances in Biometrics (ICB’06), LNCS 3832: 144–150 |
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Hong Kong |
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no |
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Admin @ si @ JDL2006 |
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624 |
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| Author |
N. Zakaria; Jean-Marc Ogier; Josep Llados |
| Title |
The Fuzzy-Spatial Descriptor for the Online Graphic Recognition: Overlapping Matrix Algorithm |
Type |
Book Chapter |
| Year |
2006 |
Publication |
7th International Workshop, Document Analysis Systems VII (DAS´06), LNCS 3872: 616–627 |
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Nelson (New Zealand) |
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DAG |
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no |
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DAG @ dag @ ZOL2006 |
Serial |
629 |
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| Author |
Angel Sappa; Fadi Dornaika |
| Title |
An Edge-Based Approach to Motion Detection |
Type |
Book Chapter |
| Year |
2006 |
Publication |
6th International Conference on Computational Science (ICCS´06), LNCS 3991:563–570 |
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Reading (United Kingdom) |
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ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ SaD2006 |
Serial |
654 |
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| Author |
Maria Alberich-Carramiñana; Guillem Alenya; Juan Andrade; E. Martinez; Carme Torras |
| Title |
Affine Epipolar Direction from Two Views of a Planar Contour |
Type |
Book Chapter |
| Year |
2006 |
Publication |
Proceedings of the Advanced Concepts for Intelligent Vision Systems Conference, LNCS 4179: 944–955 |
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Antwerp (Belgium) |
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no |
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Admin @ si @ AAA2006 |
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661 |
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| Author |
Mikhail Mozerov |
| Title |
An Effective Stereo Matching Algorithm with Optimal Path Cost Aggregation |
Type |
Book Chapter |
| Year |
2006 |
Publication |
28th Annual Symposium of the German Association for Pattern Recognition, LNCS 4174: 617–626 |
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Berlin (Germany) |
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ISE |
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no |
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ISE @ ise @ Moz2006 |
Serial |
677 |
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| Author |
Mikhail Mozerov; Ignasi Rius; Xavier Roca; Jordi Gonzalez |
| Title |
3D Human Motion Sequences Synchronization Using Dense Matching Algorithm |
Type |
Book Chapter |
| Year |
2006 |
Publication |
28th Annual Symposium of the German Association for Pattern Recognition, LNCS 4174: 485–494, ISBN 978–3–540–44412–1 |
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Berlin (Germany) |
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ISE |
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no |
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ISE @ ise @ MRR2006 |
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678 |
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| Author |
Eduard Vazquez; Francesc Tous; Ramon Baldrich; Maria Vanrell |
| Title |
n-Dimensional Distribution Reduction Preserving its Structure |
Type |
Book Chapter |
| Year |
2006 |
Publication |
Artificial Intelligence Research and Development, M. Polit et al. (Eds.), 146: 167–175 |
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IOS Press |
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CIC |
Approved |
no |
| Call Number |
CAT @ cat @ VTB2006a |
Serial |
681 |
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| Author |
Anton Cervantes; Gemma Sanchez; Josep Llados; Agnes Borras; Ana Rodriguez |
| Title |
Biometric Recognition Based on Line Shape Descriptors |
Type |
Book Chapter |
| Year |
2006 |
Publication |
Lecture Notes in Computer Science |
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3926 |
Issue |
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Pages |
346–357, |
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| Abstract |
Abstract. In this paper we propose biometric descriptors inspired by shape signatures traditionally used in graphics recognition approaches. In particular several methods based on line shape descriptors used to iden- tify newborns from the biometric information of the ears are developed. The process steps are the following: image acquisition, ear segmentation, ear normalization, feature extraction and identification. Several shape signatures are defined from contour images. These are formulated in terms of zoning and contour crossings descriptors. Experimental results are presented to demonstrate the effectiveness of the used techniques. |
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Springer Link |
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DAG |
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no |
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DAG @ dag @ CSL2006 |
Serial |
685 |
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| Author |
Fadi Dornaika; Francisco Javier Orozco; Jordi Gonzalez |
| Title |
Combined Head, Lips, Eyebrows, and Eyelids Tracking Using Adaptive Appearance Models |
Type |
Book Chapter |
| Year |
2006 |
Publication |
IV Conference on Articulated Motion and Deformable Objects (AMDO´06), LNCS 4069: 110–119 |
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Mallorca (Spain) |
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ISE @ ise @ DOG2006 |
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687 |
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| Author |
Fadi Dornaika; Angel Sappa |
| Title |
3D Face Tracking using Appearance Registration and Robust Iterative Closest Point Algorithm |
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Book Chapter |
| Year |
2006 |
Publication |
21st International Symposium on Computer and Information Sciences (ISCIS´06), LNCS 4263: 532–541 |
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Istanbul (Turkey) |
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ADAS |
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ADAS @ adas @ DoS2006d |
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688 |
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| Author |
Fadi Dornaika; Angel Sappa |
| Title |
Rigid and Non-Rigid Face Motion Tracking by Aligning Texture Maps and Stereo-Based 3D Models |
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Book Chapter |
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2006 |
Publication |
8th International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS´06), LNCS 4179: 675–684 |
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Antwerp (Belgium) |
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ADAS |
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ADAS @ adas @ DoS2006c |
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689 |
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