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Author |
Carlo Gatta; Simone Balocco; Francesco Ciompi; R. Hemetsberger; Oriol Rodriguez-Leor; Petia Radeva |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Real-time gating of IVUS sequences based on motion blur analysis: Method and quantitative validation |
Type |
Conference Article |
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Year |
2010 |
Publication |
13th international conference on Medical image computing and computer-assisted intervention |
Abbreviated Journal |
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Volume |
II |
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Pages |
59-67 |
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Abstract |
Intravascular Ultrasound (IVUS) is an image-guiding technique for cardiovascular diagnostic, providing cross-sectional images of vessels. During the acquisition, the catheter is pulled back (pullback) at a constant speed in order to acquire spatially subsequent images of the artery. However, during this procedure, the heart twist produces a swinging fluctuation of the probe position along the vessel axis. In this paper we propose a real-time gating algorithm based on the analysis of motion blur variations during the IVUS sequence. Quantitative tests performed on an in-vitro ground truth data base shown that our method is superior to state of the art algorithms both in computational speed and accuracy. |
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Springer-Verlag Berlin |
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MICCAI |
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MILAB |
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no |
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Call Number |
BCNPCL @ bcnpcl @ GBC2010 |
Serial |
1447 |
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Author |
Eloi Puertas; Sergio Escalera; Oriol Pujol |
![find book details (via ISBN) isbn](img/isbn.gif)
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Title |
Classifying Objects at Different Sizes with Multi-Scale Stacked Sequential Learning |
Type |
Conference Article |
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Year |
2010 |
Publication |
13th International Conference of the Catalan Association for Artificial Intelligence |
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Volume |
220 |
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Pages |
193–200 |
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Sequential learning is that discipline of machine learning that deals with dependent data. In this paper, we use the Multi-scale Stacked Sequential Learning approach (MSSL) to solve the task of pixel-wise classification based on contextual information. The main contribution of this work is a shifting technique applied during the testing phase that makes possible, thanks to template images, to classify objects at different sizes. The results show that the proposed method robustly classifies such objects capturing their spatial relationships. |
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R. Alquezar, A. Moreno, J. Aguilar |
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978-1-60750-642-3 |
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CCIA |
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HUPBA;MILAB |
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BCNPCL @ bcnpcl @ PEP2010 |
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1448 |
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Author |
Francesco Ciompi; Oriol Pujol; E Fernandez-Nofrerias; J. Mauri; Petia Radeva |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Conditional Random Fields for image segmentation in Intravascular Ultrasound |
Type |
Conference Article |
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Year |
2010 |
Publication |
Medical Image Computing in Catalunya: Graduate Student Workshop |
Abbreviated Journal |
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Pages |
13–14 |
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We present a Conditional Random Fields based approach for segmenting Intravascular Ultrasond (IVUS) images. The presented method uses a contextual discriminative graphical model to deal with the presence of distorsions and artifacts in IVUS images, that turns the segmentation of interesting regions into a difficult task. An accurate lumen segmentation on IVUS longitudinal images is achieved. |
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Girona |
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MICCAT |
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MILAB;HUPBA |
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BCNPCL @ bcnpcl @ CPF2010 |
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1453 |
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Author |
Jose Manuel Alvarez |
![find book details (via ISBN) isbn](img/isbn.gif)
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Title |
Combining Context and Appearance for Road Detection |
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Book Whole |
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Year |
2010 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Road traffic crashes have become a major cause of death and injury throughout the world.
Hence, in order to improve road safety, the automobile manufacture is moving towards the
development of vehicles with autonomous functionalities such as keeping in the right lane, safe distance keeping between vehicles or regulating the speed of the vehicle according to the traffic conditions. A key component of these systems is vision–based road detection that aims to detect the free road surface ahead the moving vehicle. Detecting the road using a monocular vision system is very challenging since the road is an outdoor scenario imaged from a mobile platform. Hence, the detection algorithm must be able to deal with continuously changing imaging conditions such as the presence ofdifferent objects (vehicles, pedestrians), different environments (urban, highways, off–road), different road types (shape, color), and different imaging conditions (varying illumination, different viewpoints and changing weather conditions). Therefore, in this thesis, we focus on vision–based road detection using a single color camera. More precisely, we first focus on analyzing and grouping pixels according to their low–level properties. In this way, two different approaches are presented to exploit
color and photometric invariance. Then, we focus the research of the thesis on exploiting context information. This information provides relevant knowledge about the road not using pixel features from road regions but semantic information from the analysis of the scene.
In this way, we present two different approaches to infer the geometry of the road ahead
the moving vehicle. Finally, we focus on combining these context and appearance (color)
approaches to improve the overall performance of road detection algorithms. The qualitative and quantitative results presented in this thesis on real–world driving sequences show that the proposed method is robust to varying imaging conditions, road types and scenarios going beyond the state–of–the–art. |
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Ph.D. thesis |
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Ediciones Graficas Rey |
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Editor |
Antonio Lopez;Theo Gevers |
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978-84-937261-8-8 |
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ADAS |
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no |
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Call Number |
Admin @ si @ Alv2010 |
Serial |
1454 |
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Author |
Partha Pratim Roy |
![find book details (via ISBN) isbn](img/isbn.gif)
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Title |
Multi-Oriented and Multi-Scaled Text Character Analysis and Recognition in Graphical Documents and their Applications to Document Image Retrieval |
Type |
Book Whole |
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Year |
2010 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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With the advent research of Document Image Analysis and Recognition (DIAR), an
important line of research is explored on indexing and retrieval of graphics rich documents. It aims at finding relevant documents relying on segmentation and recognition
of text and graphics components underlying in non-standard layout where commercial
OCRs can not be applied due to complexity. This thesis is focused towards text information extraction approaches in graphical documents and retrieval of such documents
using text information.
Automatic text recognition in graphical documents (map, engineering drawing,
etc.) involves many challenges because text characters are usually printed in multioriented and multi-scale way along with different graphical objects. Text characters
are used to annotate the graphical curve lines and hence, many times they follow
curvi-linear paths too. For OCR of such documents, individual text lines and their
corresponding words/characters need to be extracted.
For recognition of multi-font, multi-scale and multi-oriented characters, we have
proposed a feature descriptor for character shape using angular information from contour pixels to take care of the invariance nature. To improve the efficiency of OCR, an
approach towards the segmentation of multi-oriented touching strings into individual
characters is also discussed. Convex hull based background information is used to
segment a touching string into possible primitive segments and later these primitive
segments are merged to get optimum segmentation using dynamic programming. To
overcome the touching/overlapping problem of text with graphical lines, a character
spotting approach using SIFT and skeleton information is included. Afterwards, we
propose a novel method to extract individual curvi-linear text lines using the foreground and background information of the characters of the text and a water reservoir
concept is used to utilize the background information.
We have also formulated the methodologies for graphical document retrieval applications using query words and seals. The retrieval approaches are performed using
recognition results of individual components in the document. Given a query text,
the system extracts positional knowledge from the query word and uses the same to
generate hypothetical locations in the document. Indexing of documents is also performed based on automatic detection of seals from documents containing cluttered
background. A seal is characterized by scale and rotation invariant spatial feature
descriptors computed from labelled text characters and a concept based on the Generalized Hough Transform is used to locate the seal in documents. |
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Ph.D. thesis |
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Ediciones Graficas Rey |
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Josep Llados;Umapada Pal |
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978-84-937261-7-1 |
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no |
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Call Number |
Admin @ si @ Roy2010 |
Serial |
1455 |
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Permanent link to this record |
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Author |
Pierluigi Casale; Oriol Pujol; Petia Radeva |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Embedding Random Projections in Regularized Gradient Boosting Machines |
Type |
Conference Article |
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Year |
2010 |
Publication |
Supervised and Unsupervised Ensemble Methods and their Applications in the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases |
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44–53 |
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Barcelona (Spain) |
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SUEMA |
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MILAB;HUPBA |
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no |
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BCNPCL @ bcnpcl @ CPR2010c |
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1466 |
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Permanent link to this record |
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Author |
Pierluigi Casale; Oriol Pujol; Petia Radeva |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Classyfing Agitation in Sedated ICU Patients |
Type |
Conference Article |
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Year |
2010 |
Publication |
Medical Image Computing in Catalunya: Graduate Student Workshop |
Abbreviated Journal |
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19–20 |
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Agitation is a serious problem in sedated intensive care unit (ICU) patients. In this work, standard machine learning techniques working on wearable accelerometer data have been used to classifying agitation levels achieving very good classification performances. |
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Girona |
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MICCAT |
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MILAB;HUPBA |
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BCNPCL @ bcnpcl @ COR2010 |
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1467 |
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Author |
Angel Sappa (ed) |
![find book details (via ISBN) isbn](img/isbn.gif)
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Title |
Computer Graphics and Imaging |
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2010 |
Publication |
Computer Graphics and Imaging |
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Angel Sappa |
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978–0–88986–836–6 |
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CGIM |
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ADAS |
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ADAS @ adas @ Sap2010 |
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1468 |
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Permanent link to this record |
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Author |
Jorge Bernal; F. Javier Sanchez; Fernando Vilariño |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Reduction of Pattern Search Area in Colonoscopy Images by Merging Non-Informative Regions |
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Conference Article |
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2010 |
Publication |
28th Congreso Anual de la Sociedad Española de Ingeniería Biomédica |
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One of the first usual steps in pattern recognition schemas is image segmentation, in order to reduce the dimensionality of the problem and manage smaller quantity of data. In our case as we are pursuing real-time colon cancer polyp detection, this step is crucial. In this paper we present a non-informative region estimation algorithm that will let us discard some parts of the image where we will not expect to find colon cancer polyps. The performance of our approach will be measured in terms of both non-informative areas elimination and polyps’ areas preserving. The results obtained show the importance of having correct non- informative region estimation in order to fasten the whole recognition process. |
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Madrid (Spain) |
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800 |
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CASEIB |
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MV;SIAI |
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Admin @ si @ BSV2010 |
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1469 |
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Author |
Angel Sappa; M.A. Garcia |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Aprendiendo a recrear la realidad en 3D |
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2007 |
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UAB Divulga, Revista de Divulgacion Cientifica |
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spreading |
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ADAS @ adas @ SaG2007c |
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1470 |
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Author |
Joan Serrat; Ferran Diego; Felipe Lumbreras |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Los faros delanteros a traves del objetivo |
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2008 |
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UAB Divulga, Revista de divulgacion cientifica |
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ADAS |
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ADAS @ adas @ SDL2008b |
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1471 |
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Author |
Carme Julia; Angel Sappa; Felipe Lumbreras |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Aprendiendo a recrear la realidad en 3D |
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2008 |
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UAB Divulga, Revista de divulgacion cientifica |
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spreading;ADAS |
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ADAS @ adas @ JSL2008b |
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1472 |
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Author |
Antonio Hernandez; Carlo Gatta; Petia Radeva; Laura Igual; R. Letaz; Sergio Escalera |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Automatic Vessel Segmentation For Angiography and CT Registration |
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Conference Article |
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2010 |
Publication |
Medical Image Computing in Catalunya: Graduate Student Workshop |
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1–2 |
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Girona |
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MICCAT |
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MILAB;HUPBA |
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BCNPCL @ bcnpcl @ HGR2010 |
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1474 |
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Author |
Michal Drozdzal; Laura Igual; Jordi Vitria; Petia Radeva; Carolina Malagelada; Fernando Azpiroz |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
SIFT flow-based Sequences Alignment |
Type |
Conference Article |
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Year |
2010 |
Publication |
Medical Image Computing in Catalunya: Graduate Student Workshop |
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7–8 |
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Girona, Spain |
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Conference |
MICCAT |
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Notes |
OR;MILAB;MV |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ DIV2010 |
Serial |
1475 |
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Permanent link to this record |
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Author |
Miguel Reyes; Jordi Vitria; Petia Radeva; Sergio Escalera |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Real-time Activity Monitoring of Inpatients |
Type |
Conference Article |
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Year |
2010 |
Publication |
Medical Image Computing in Catalunya: Graduate Student Workshop |
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Volume |
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Issue |
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Pages |
35–36 |
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Abstract |
In this paper, we present the development of an application capable of monitoring a set of patient vital signs in real time. The application has been designed to support the medical staff of a hospital. Preliminary results show the suitability
of the system to prevent the injury produced by the agitation of the patients. |
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Address |
Girona |
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Original Title |
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Edition |
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ISBN |
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Area |
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Expedition |
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Conference |
MICCAT |
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Notes |
OR;MILAB;HUPBA;MV |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ RVR2010 |
Serial |
1477 |
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Permanent link to this record |