| Records |
| 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 |
|
Pages |
161–168 |
| Keywords |
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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) |
| Corporate Author |
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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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Summary Language |
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Original Title |
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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 |
800 |
Expedition |
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Conference |
MICCAI06 |
| Notes |
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 |
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
| Title |
An Iterative Multiresolution Scheme for SFM |
Type |
Conference Article |
| Year |
2006 |
Publication |
International Conference on Image Analysis and Recognition |
Abbreviated Journal |
ICIAR 2006 |
| Volume |
LNCS 4141 |
Issue |
1 |
Pages |
804–815 |
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Place of Publication |
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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 |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ JSL2006c |
Serial |
704 |
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| Author |
F.Guirado; Ana Ripoll; C.Roig; Aura Hernandez-Sabate; Emilio Luque |
| Title |
Exploiting Throughput for Pipeline Execution in Streaming Image Processing Applications |
Type |
Book Chapter |
| Year |
2006 |
Publication |
Euro-Par 2006 Parallel Processing |
Abbreviated Journal |
LNCS |
| Volume |
4128 |
Issue |
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Pages |
1095-1105 |
| Keywords |
12th International Euro–Par Conference |
| Abstract |
There is a large range of image processing applications that act on an input sequence of image frames that are continuously received. Throughput is a key performance measure to be optimized when execu- ting them. In this paper we propose a new task replication methodology for optimizing throughput for an image processing application in the field of medicine. The results show that by applying the proposed methodo- logy we are able to achieve the desired throughput in all cases, in such a way that the input frames can be processed at any given rate. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer-Verlag Berlin Heidelberg |
Place of Publication |
Dresden, Germany (European Union) |
Editor |
UAB; W, E.N.; 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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Series Title |
Lecture Notes In Computer Science |
Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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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 |
Euro–Par |
| Notes |
IAM |
Approved |
no |
| Call Number |
IAM @ iam @ GRR2006a |
Serial |
1542 |
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| Author |
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
| Title |
Factorization with Missing and Noisy Data |
Type |
Conference Article |
| Year |
2006 |
Publication |
6th International Conference on Computational Science |
Abbreviated Journal |
ICCS´06 |
| Volume |
LNCS 3991 |
Issue |
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Pages |
555–562 |
| Keywords |
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| Abstract |
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| Address |
Reading (United Kingdom) |
| Corporate Author |
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Thesis |
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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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Edition |
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ISBN |
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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 |
ADAS @ adas @ JSL2006b |
Serial |
653 |
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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 |
Abbreviated Journal |
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| Volume |
3926 |
Issue |
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Pages |
346–357, |
| Keywords |
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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. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer Link |
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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Series Issue |
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Edition |
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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 |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ CSL2006 |
Serial |
685 |
| Permanent link to this record |
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| |
| 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 |
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| Volume |
3926 |
Issue |
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Pages |
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| Keywords |
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| Abstract |
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| Address |
Hong Kong (China) |
| Corporate Author |
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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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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 |
GREC |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ LiL2006 |
Serial |
800 |
| Permanent link to this record |
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| Author |
Fernando Lopez; J.M. Valiente; Ramon Baldrich; Maria Vanrell |
| Title |
Fast surface grading using color statistics in the CIELab space |
Type |
Conference Article |
| Year |
2005 |
Publication |
Pattern Recognition and Image Analysis. IbPRIA 2005 |
Abbreviated Journal |
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| Volume |
LNCS 3523 |
Issue |
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Pages |
66-673 |
| Keywords |
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| Abstract |
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| Address |
Germany |
| Corporate Author |
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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 |
LNCS |
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 |
IbPRIA |
| Notes |
CIC |
Approved |
no |
| Call Number |
CAT @ cat @ LVB2005 |
Serial |
641 |
| Permanent link to this record |
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| Author |
Agnes Borras; Josep Llados |
| Title |
Object Image Retrieval by Shape Content in Complex Scenes Using Geometric Constraints |
Type |
Book Chapter |
| Year |
2005 |
Publication |
Pattern Recognition And Image Analysis |
Abbreviated Journal |
LNCS |
| Volume |
3522 |
Issue |
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Pages |
325–332 |
| Keywords |
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| Abstract |
This paper presents an image retrieval system based on 2D shape information. Query shape objects and database images are repre- sented by polygonal approximations of their contours. Afterwards they are encoded, using geometric features, in terms of predefined structures. Shapes are then located in database images by a voting procedure on the spatial domain. Then an alignment matching provides a probability value to rank de database image in the retrieval result. The method al- lows to detect a query object in database images even when they contain complex scenes. Also the shape matching tolerates partial occlusions and affine transformations as translation, rotation or scaling. |
| Address |
Estoril (Portugal) |
| Corporate Author |
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Thesis |
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| Publisher |
Springer Link |
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 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 |
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| Notes |
DAG; |
Approved |
no |
| Call Number |
DAG @ dag @ BoL2005; IAM @ iam @ BoL2005 |
Serial |
556 |
| Permanent link to this record |
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| Author |
Misael Rosales; Petia Radeva; Oriol Rodriguez; Debora Gil |
| Title |
Suppression of IVUS Image Rotation. A Kinematic Approach |
Type |
Book Chapter |
| Year |
2005 |
Publication |
Functional Imaging and Modeling of the Heart |
Abbreviated Journal |
LNCS |
| Volume |
3504 |
Issue |
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Pages |
889-892 |
| Keywords |
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| Abstract |
IntraVascular Ultrasound (IVUS) is an exploratory technique used in interventional procedures that shows cross section images of arteries and provides qualitative information about the causes and severity of the arterial lumen narrowing. Cross section analysis as well as visualization of plaque extension in a vessel segment during the catheter imaging pullback are the technique main advantages. However, IVUS sequence exhibits a periodic rotation artifact that makes difficult the longitudinal lesion inspection and hinders any segmentation algorithm. In this paper we propose a new kinematic method to estimate and remove the image rotation of IVUS images sequences. Results on several IVUS sequences show good results and prompt some of the clinical applications to vessel dynamics study, and relation to vessel pathology. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer Berlin / Heidelberg |
Place of Publication |
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Editor |
Frangi, Alejandro and Radeva, Petia and Santos, Andres and Hernandez, Monica |
| 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 |
Lecture Notes in Computer Science |
Abbreviated Series Title |
LNCS |
| Series Volume |
3504 |
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 |
IAM;MILAB |
Approved |
no |
| Call Number |
IAM @ iam @ RRR2005 |
Serial |
1645 |
| Permanent link to this record |
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| Author |
Joel Barajas; Jaume Garcia; Karla Lizbeth Caballero; Francesc Carreras; Sandra Pujades; Petia Radeva |
| Title |
Correction of Misalignment Artifacts Among 2-D Cardiac MR Images in 3-D Space |
Type |
Conference Article |
| Year |
2006 |
Publication |
1st International Wokshop on Computer Vision for Intravascular and Intracardiac Imaging (CVII’06) |
Abbreviated Journal |
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| Volume |
3217 |
Issue |
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Pages |
114-121 |
| Keywords |
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| Abstract |
Cardiac Magnetic Resonance images offer the opportunity to study the heart in detail. One of the main issues in its modelling is to create an accurate 3-D reconstruction of the left ventricle from 2-D views. A first step to achieve this goal is the correct registration among the different image planes due to patient movements. In this article, we present an accurate method to correct displacement artifacts using the Normalized Mutual Information. Here, the image views are treated as planes in order to diminish the approximation error caused by the association of a certain thickness, and moved simultaneously to avoid any kind of bias in the alignment process. This method has been validated using real and syntectic plane displacements, yielding promising results. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
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Place of Publication |
Copenhagen (Denmark) |
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 Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
978-3-540-22977-3 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
IAM;MILAB |
Approved |
no |
| Call Number |
IAM @ iam @ BGC2006 |
Serial |
1485 |
| Permanent link to this record |
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| Author |
Ernest Valveny; Philippe Dosch |
| Title |
Performance Evaluation of Symbol Recognition |
Type |
Book Chapter |
| Year |
2004 |
Publication |
Document Analysis Systems |
Abbreviated Journal |
LNCS |
| Volume |
3163 |
Issue |
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Pages |
354–365 |
| Keywords |
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| Abstract |
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| Address |
Springer-Verlag |
| Corporate Author |
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Thesis |
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| Publisher |
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Place of Publication |
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Editor |
S. Marinai, A. Dengel (Eds.), |
| 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 Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
3-540-23060-2 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ VaD2004a |
Serial |
502 |
| Permanent link to this record |
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| Author |
Debora Gil; Petia Radeva |
| Title |
Curvature Vector Flow to Assure Convergent Deformable Models for Shape Modelling |
Type |
Book Chapter |
| Year |
2003 |
Publication |
Energy Minimization Methods In Computer Vision And Pattern Recognition |
Abbreviated Journal |
LNCS |
| Volume |
2683 |
Issue |
|
Pages |
357-372 |
| Keywords |
Initial condition; Convex shape; Non convex analysis; Increase; Segmentation; Gradient; Standard; Standards; Concave shape; Flow models; Tracking; Edge detection; Curvature |
| Abstract |
Poor convergence to concave shapes is a main limitation of snakes as a standard segmentation and shape modelling technique. The gradient of the external energy of the snake represents a force that pushes the snake into concave regions, as its internal energy increases when new inexion points are created. In spite of the improvement of the external energy by the gradient vector ow technique, highly non convex shapes can not be obtained, yet. In the present paper, we develop a new external energy based on the geometry of the curve to be modelled. By tracking back the deformation of a curve that evolves by minimum curvature ow, we construct a distance map that encapsulates the natural way of adapting to non convex shapes. The gradient of this map, which we call curvature vector ow (CVF), is capable of attracting a snake towards any contour, whatever its geometry. Our experiments show that, any initial snake condition converges to the curve to be modelled in optimal time. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer, Berlin |
Place of Publication |
Lisbon, PORTUGAL |
Editor |
Springer, B. |
| 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 |
Lecture Notes in Computer Science |
Abbreviated Series Title |
LNCS |
| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
0302-9743 |
ISBN |
3-540-40498-8 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
IAM;MILAB |
Approved |
no |
| Call Number |
IAM @ iam @ GIR2003b |
Serial |
1535 |
| Permanent link to this record |
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| Author |
Agnes Borras; Francesc Tous; Josep Llados; Maria Vanrell |
| Title |
High-Level Clothes Description Based on Color-Texture and Structural Features |
Type |
Book Chapter |
| Year |
2003 |
Publication |
Lecture Notes in Computer Science |
Abbreviated Journal |
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| Volume |
2652 |
Issue |
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Pages |
108–116 |
| Keywords |
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| Abstract |
This work is a part of a surveillance system where content- based image retrieval is done in terms of people appearance. Given an image of a person, our work provides an automatic description of his clothing according to the colour, texture and structural composition of its garments. We present a two-stage process composed by image segmentation and a region-based interpretation. We segment an image by modelling it due to an attributed graph and applying a hybrid method that follows a split-and-merge strategy. We propose the interpretation of five cloth combinations that are modelled in a graph structure in terms of region features. The interpretation is viewed as a graph matching with an associated cost between the segmentation and the cloth models. Fi- nally, we have tested the process with a ground-truth of one hundred images. |
| Address |
Springer-Verlag |
| Corporate Author |
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Thesis |
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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 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 |
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| Notes |
DAG;CIC |
Approved |
no |
| Call Number |
CAT @ cat @ BTL2003a |
Serial |
368 |
| Permanent link to this record |
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| Author |
Francesc Tous; Agnes Borras; Robert Benavente; Ramon Baldrich; Maria Vanrell; Josep Llados |
| Title |
Textual Descriptions for Browsing People by Visual Apperance. |
Type |
Book Chapter |
| Year |
2002 |
Publication |
Lecture Notes in Artificial Intelligence |
Abbreviated Journal |
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| Volume |
2504 |
Issue |
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Pages |
419-429 |
| Keywords |
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| Abstract |
This paper presents a first approach to build colour and structural descriptors for information retrieval on a people database. Queries are formulated in terms of their appearance that allows to seek people wearing specific clothes of a given colour name or texture. Descriptors are automatically computed by following three essential steps. A colour naming labelling from pixel properties. A region seg- mentation step based on colour properties of pixels combined with edge information. And a high level step that models the region arrangements in order to build clothes structure. Results are tested on large set of images from real scenes taken at the entrance desk of a building |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer Verlag |
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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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 |
DAG;CIC |
Approved |
no |
| Call Number |
CAT @ cat @ TBB2002b |
Serial |
319 |
| Permanent link to this record |
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| Author |
Josep Llados; Ernest Valveny; Gemma Sanchez; Enric Marti |
| Title |
Symbol recognition: current advances and perspectives |
Type |
Book Chapter |
| Year |
2002 |
Publication |
Graphics Recognition Algorithms And Applications |
Abbreviated Journal |
LNCS |
| Volume |
2390 |
Issue |
|
Pages |
104-128 |
| Keywords |
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| Abstract |
The recognition of symbols in graphic documents is an intensive research activity in the community of pattern recognition and document analysis. A key issue in the interpretation of maps, engineering drawings, diagrams, etc. is the recognition of domain dependent symbols according to a symbol database. In this work we first review the most outstanding symbol recognition methods from two different points of view: application domains and pattern recognition methods. In the second part of the paper, open and unaddressed problems involved in symbol recognition are described, analyzing their current state of art and discussing future research challenges. Thus, issues such as symbol representation, matching, segmentation, learning, scalability of recognition methods and performance evaluation are addressed in this work. Finally, we discuss the perspectives of symbol recognition concerning to new paradigms such as user interfaces in handheld computers or document database and WWW indexing by graphical content. |
| Address |
London, UK |
| Corporate Author |
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Thesis |
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| Publisher |
Springer-Verlag |
Place of Publication |
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Editor |
Dorothea Blostein and Young- Bin Kwon |
| 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 |
Lecture Notes in Computer Science |
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 |
3-540-44066-6 |
Medium |
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| Area |
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Expedition |
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Conference |
GREC |
| Notes |
DAG; IAM; |
Approved |
no |
| Call Number |
IAM @ iam @ LVS2002 |
Serial |
1572 |
| Permanent link to this record |
