Records |
Author |
Stefan Ameling; Stephan Wirth; Dietrich Paulus; Gerard Lacey; Fernando Vilariño |
Title |
Texture-based Polyp Detection in Colonoscopy |
Type |
Journal Article |
Year |
2009 |
Publication |
Proc. BILDVERARBEITUNG FÜR DIE MEDIZIN |
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MV;SIAI |
Approved |
no |
Call Number |
fernando @ fernando @ |
Serial |
2428 |
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Author |
Fernando Vilariño; Gerard Lacey |
Title |
QUALITY ASSESSMENT IN COLONOSCOPY New challenges through computer vision-based systems |
Type |
Conference Article |
Year |
2009 |
Publication |
in Proc. 3rd International Conference on Biomedical Electronics and Devices |
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MV;SIAI |
Approved |
no |
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fernando @ fernando @ |
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2430 |
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Author |
Fernando Vilariño; Gerard Lacey; Jiang Zhou; Hugh Mulcahy; Stephen Patchett |
Title |
Automatic Labeling of Colonoscopy Video for Cancer Detection |
Type |
Conference Article |
Year |
2007 |
Publication |
In Proc. berian Conference, IbPRIA |
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290-297 |
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MV;SIAI |
Approved |
no |
Call Number |
fernando @ fernando @ |
Serial |
2431 |
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Author |
Onur Ferhat; Arcadi Llanza; Fernando Vilariño |
Title |
A Feature-Based Gaze Estimation Algorithm for Natural Light Scenarios |
Type |
Conference Article |
Year |
2015 |
Publication |
Pattern Recognition and Image Analysis, Proceedings of 7th Iberian Conference , ibPRIA 2015 |
Abbreviated Journal |
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Volume |
9117 |
Issue |
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Pages |
569-576 |
Keywords |
Eye tracking; Gaze estimation; Natural light; Webcam |
Abstract |
We present an eye tracking system that works with regular webcams. We base our work on open source CVC Eye Tracker [7] and we propose a number of improvements and a novel gaze estimation method. The new method uses features extracted from iris segmentation and it does not fall into the traditional categorization of appearance–based/model–based methods. Our experiments show that our approach reduces the gaze estimation errors by 34 % in the horizontal direction and by 12 % in the vertical direction compared to the baseline system. |
Address |
Santiago de Compostela; June 2015 |
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Springer International Publishing |
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LNCS |
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ISSN |
0302-9743 |
ISBN |
978-3-319-19389-2 |
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IbPRIA |
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MV;SIAI |
Approved |
no |
Call Number |
Admin @ si @ FLV2015a |
Serial |
2646 |
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Author |
Onur Ferhat; Arcadi Llanza; Fernando Vilariño |
Title |
Gaze interaction for multi-display systems using natural light eye-tracker |
Type |
Conference Article |
Year |
2015 |
Publication |
2nd International Workshop on Solutions for Automatic Gaze Data Analysis |
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Address |
Bielefeld; Germany; September 2015 |
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SAGA |
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MV;SIAI |
Approved |
no |
Call Number |
Admin @ si @ FLV2015b |
Serial |
2676 |
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Author |
Dan Norton; Fernando Vilariño; Onur Ferhat |
Title |
Memory Field – Creative Engagement in Digital Collections |
Type |
Conference Article |
Year |
2015 |
Publication |
Internet Librarian International Conference |
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Abstract |
“Memory Fields” is a trans-disciplinary project aiming at the (re)valorisation of digital collections.Its main deliverable is an interface for a dual screen installation, used to access and mix the public library digital collections. The collections being used in this case are a collection of digitised posters from the Spanish Civil War, belonging to the Arxiu General de Catalunya, and a collection of field recordings made by Dan Norton. The system generates visualisations, and the images and sounds are mixed together using narrative primitives of video dj. Users contribute to the digital collections by adding personal memories and observations. The comments and recollections appear as flowers growing in a “memory field” and memories remain public in a Twitter feed (@Memoryfields). |
Address |
London; UK; October 2015 |
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ILI |
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MV;SIAI |
Approved |
no |
Call Number |
Admin @ si @NVF2015 |
Serial |
2796 |
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Author |
Fernando Vilariño |
Title |
Computer Vision and Performing Arts |
Type |
Conference Article |
Year |
2015 |
Publication |
Korean Scholars of Marketing Science |
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Address |
Seoul; Korea; October 2015 |
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KAMS |
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MV;SIAI |
Approved |
no |
Call Number |
Admin @ si @Vil2015 |
Serial |
2799 |
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Author |
Panagiota Spyridonos; Fernando Vilariño; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
Title |
Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal Contractions |
Type |
Book Chapter |
Year |
2006 |
Publication |
9th International Conference on Medical Image Computing and Computer–Assisted Intervention |
Abbreviated Journal |
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Volume |
4191 |
Issue |
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Pages |
161–168 |
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Abstract |
Wireless endoscopy is a very recent and at the same time unique technique allowing to visualize and study the occurrence of con- tractions and to analyze the intestine motility. Feature extraction is es- sential for getting efficient patterns to detect contractions in wireless video endoscopy of small intestine. We propose a novel method based on anisotropic image filtering and efficient statistical classification of con- traction features. In particular, we apply the image gradient tensor for mining informative skeletons from the original image and a sequence of descriptors for capturing the characteristic pattern of contractions. Fea- tures extracted from the endoluminal images were evaluated in terms of their discriminatory ability in correct classifying images as either belong- ing to contractions or not. Classification was performed by means of a support vector machine classifier with a radial basis function kernel. Our classification rates gave sensitivity of the order of 90.84% and specificity of the order of 94.43% respectively. These preliminary results highlight the high efficiency of the selected descriptors and support the feasibility of the proposed method in assisting the automatic detection and analysis of contractions. |
Address |
Copenhagen (Denmark) |
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Thesis |
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Publisher |
Springer Verlag |
Place of Publication |
Berlin Heidelberg |
Editor |
R. Larsen, M. Nielsen, and J. Sporring |
Language |
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LNCS |
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Area |
800 |
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Conference |
MICCAI06 |
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MV;OR;MILAB;SIAI |
Approved |
no |
Call Number |
BCNPCL @ bcnpcl @ SVV2006; IAM @ iam @ SVV2006 |
Serial |
725 |
Permanent link to this record |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
Title |
Cascade analysis for intestinal contraction detection |
Type |
Conference Article |
Year |
2006 |
Publication |
20th International Congress and exhibition Computer Assisted Radiology and Surgery |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
9-10 |
Keywords |
intestine video analysis, anisotropic features, support vector machine, cascade of classifiers |
Abstract |
In this work, we address the study of intestinal contractions in a novel approach based on a machine learning framework to process data from Wireless Capsule Video Endoscopy. Wireless endoscopy represents a unique way to visualize the intestine motility by creating long videos to visualize intestine dynamics. In this paper we argue that to analyze huge amount of wireless endoscopy data and define robust methods for contraction detection we should base our approach on sophisticated machine learning techniques. In particular, we propose a cascade of classifiers in order to remove different physiological phenomenon and obtain the motility pattern of small intestines. Our results show obtaining high specificity and sensitivity rates that highlight the high efficiency of the selected approach and support the feasibility of the proposed methodology in the automatic detection and analysis of intestine contractions. |
Address |
Osaka (Japan) |
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800 |
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CARS |
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MV;OR;MILAB;SIAI |
Approved |
no |
Call Number |
BCNPCL @ bcnpcl @ VSV2006a; IAM @ iam @ VSV2006h |
Serial |
726 |
Permanent link to this record |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
Title |
Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy |
Type |
Conference Article |
Year |
2006 |
Publication |
18th International Conference on Pattern Recognition |
Abbreviated Journal |
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Volume |
4 |
Issue |
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Pages |
719-722 |
Keywords |
Clinical diagnosis , Endoscopes , Fluids and secretions , Gabor filters , Hospitals , Image sequence analysis , Intestines , Lighting , Shape , Visualization |
Abstract |
Wireless capsule video endoscopy is a novel and challenging clinical technique, whose major reported drawback relates to the high amount of time needed for video visualization. In this paper, we propose a method for the rejection of the parts of the video resulting not valid for analysis by means of automatic detection of intestinal juices. We applied Gabor filters for the characterization of the bubble-like shape of intestinal juices in fasting patients. Our method achieves a significant reduction in visualization time, with no relevant loss of valid frames. The proposed approach is easily extensible to other image analysis scenarios where the described pattern of bubbles can be found. |
Address |
Hong Kong |
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Edition |
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ISSN |
1051-4651 |
ISBN |
0-7695-2521-0 |
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800 |
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Conference |
ICPR |
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MV;OR;MILAB;SIAI |
Approved |
no |
Call Number |
BCNPCL @ bcnpcl @ VSV2006b; IAM @ iam @ VSV2006g |
Serial |
727 |
Permanent link to this record |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Carolina Malagelada; Petia Radeva |
Title |
Linear Radial Patterns Characterization for Automatic Detection of Tonic Intestinal Contractions |
Type |
Book Chapter |
Year |
2006 |
Publication |
11th Iberoamerican Congress on Pattern Recognition |
Abbreviated Journal |
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Volume |
4225 |
Issue |
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Pages |
178–187 |
Keywords |
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Abstract |
This work tackles the categorization of general linear radial patterns by means of the valleys and ridges detection and the use of descriptors of directional information, which are provided by steerable filters in different regions of the image. We successfully apply our proposal in the specific case of automatic detection of tonic contractions in video capsule endoscopy, which represent a paradigmatic example of linear radial patterns. |
Address |
Cancun (Mexico) |
Corporate Author |
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Thesis |
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Publisher |
Springer Verlag |
Place of Publication |
Berlin Heidelberg |
Editor |
.F. Mart ́ınez-Trinidad et al |
Language |
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Original Title |
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Series Editor |
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Abbreviated Series Title |
LNCS |
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Area |
800 |
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MV;OR;MILAB;SIAI |
Approved |
no |
Call Number |
BCNPCL @ bcnpcl @ VSV2006c; IAM @ iam @ VSB2006f |
Serial |
728 |
Permanent link to this record |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Carolina Malagelada; Petia Radeva |
Title |
A Machine Learning framework using SOMs: Applications in the Intestinal Motility Assessment |
Type |
Book Chapter |
Year |
2006 |
Publication |
11th Iberoamerican Congress on Pattern Recognition |
Abbreviated Journal |
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Volume |
4225 |
Issue |
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Pages |
188–197 |
Keywords |
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Abstract |
Small Bowel Motility Assessment by means of Wireless Capsule Video Endoscopy constitutes a novel clinical methodology in which a capsule with a micro-camera attached to it is swallowed by the patient, emitting a RF signal which is recorded as a video of its trip throughout the gut. In order to overcome the main drawbacks associated with this technique -mainly related to the large amount of visualization time required-, our efforts have been focused on the development of a machine learning system, built up in sequential stages, which provides the specialists with the useful part of the video, rejecting those parts not valid for analysis. We successfully used Self Organized Maps in a general semi-supervised framework with the aim of tackling the different learning stages of our system. The analysis of the diverse types of images and the automatic detection of intestinal contractions is performed under the perspective of intestinal motility assessment in a clinical environment. |
Address |
Cancun (Mexico) |
Corporate Author |
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Thesis |
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Publisher |
Springer Verlag |
Place of Publication |
Berlin-Heidelberg |
Editor |
J.P. Martinez–Trinidad et al |
Language |
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LNCS |
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800 |
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Conference |
CIARP06 |
Notes ![sorted by Notes field, descending order (down)](img/sort_desc.gif) |
MV;OR;MILAB;SIAI |
Approved |
no |
Call Number |
BCNPCL @ bcnpcl @ VSV2006d; IAM @ iam @ VSV2006e |
Serial |
729 |
Permanent link to this record |
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Author |
Panagiota Spyridonos; Fernando Vilariño; Jordi Vitria; Petia Radeva; Fernando Azpiroz; Juan Malagelada |
Title |
Device, system and method for automatic detection of contractile activity in an image frame |
Type |
Patent |
Year |
2011 |
Publication |
US 2011/0044515 A1 |
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 |
A device, system and method for automatic detection of contractile activity of a body lumen in an image frame is provided, wherein image frames during contractile activity are captured and/or image frames including contractile activity are automatically detected, such as through pattern recognition and/or feature extraction to trace image frames including contractions, e.g., with wrinkle patterns. A manual procedure of annotation of contractions, e.g. tonic contractions in capsule endoscopy, may consist of the visualization of the whole video by a specialist, and the labeling of the contraction frames. Embodiments of the present invention may be suitable for implementation in an in vivo imaging system. |
Address |
Pearl Cohen Zedek Latzer, LLP, 1500 Broadway 12th Floor, New York (NY) 10036 (US) |
Corporate Author |
US Patent Office |
Thesis |
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MV;OR;MILAB;SIAI |
Approved |
no |
Call Number |
IAM @ iam @ SVV2011 |
Serial |
1701 |
Permanent link to this record |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Petia Radeva; Jordi Vitria; Fernando Azpiroz; Juan Malagelada |
Title |
Method for automatic classification of in vivo images |
Type |
Patent |
Year |
2010 |
Publication |
US 2010/0046816 |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
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Abstract |
A method for automatically detecting a post-duodenal boundary in an image stream of the gastrointestinal (GI) tract. The image stream is sampled to obtain a reduced set of images for processing. The reduced set of images is filtered to remove non-valid frames or non-valid portions of frames, thereby generating a filtered set of valid images. A polar representation of the valid images is generated. Textural features of the polar representation are processed to detect the post-duodenal boundary of the GI tract. |
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800 |
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MV;OR;MILAB;SIAI |
Approved |
no |
Call Number |
IAM @ iam @ VSR2010 |
Serial |
1702 |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Petia Radeva; Jordi Vitria; Fernando Azpiroz; Juan Malagelada |
Title |
Device, system and method for measurement and analysis of contractile activity |
Type |
Patent |
Year |
2009 |
Publication |
US 2009/0202117 A1 |
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 |
A method and system for determining intestinal dysfunction condition are provided by classifying and analyzing image frames captured in-vivo. The method and system also relate to the detection of contractile activity in intestinal tracts, to automatic detection of video image frames taken in the gastrointestinal tract including contractile activity, and more particularly to measurement and analysis of contractile activity of the GI tract based on image intensity of in vivo image data. |
Address |
Pearl Cohen Zedek Latzer |
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800 |
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MV;OR;MILAB;SIAI |
Approved |
no |
Call Number |
IAM @ iam @ VSR2009 |
Serial |
1704 |
Permanent link to this record |