| Records |
| Author |
Joan Mas; Gemma Sanchez; Josep Llados |
| Title |
SSP: Sketching slide Presentations, a Syntactic Approach |
Type |
Book Chapter |
| Year |
2010 |
Publication |
Graphics Recognition. Achievements, Challenges, and Evolution. 8th International Workshop, GREC 2009. Selected Papers |
Abbreviated Journal |
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| Volume |
6020 |
Issue |
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Pages |
118-129 |
Keywords  |
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| Abstract |
The design of a slide presentation is a creative process. In this process first, humans visualize in their minds what they want to explain. Then, they have to be able to represent this knowledge in an understandable way. There exists a lot of commercial software that allows to create our own slide presentations but the creativity of the user is rather limited. In this article we present an application that allows the user to create and visualize a slide presentation from a sketch. A slide may be seen as a graphical document or a diagram where its elements are placed in a particular spatial arrangement. To describe and recognize slides a syntactic approach is proposed. This approach is based on an Adjacency Grammar and a parsing methodology to cope with this kind of grammars. The experimental evaluation shows the performance of our methodology from a qualitative and a quantitative point of view. Six different slides containing different number of symbols, from 4 to 7, have been given to the users and they have drawn them without restrictions in the order of the elements. The quantitative results give an idea on how suitable is our methodology to describe and recognize the different elements in a slide. |
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| Publisher |
Springer Berlin Heidelberg |
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LNCS |
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Series Issue |
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Edition |
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| ISSN |
0302-9743 |
ISBN |
978-3-642-13727-3 |
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Expedition |
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Conference |
GREC |
| Notes |
DAG |
Approved |
no |
| Call Number |
MSL2010 |
Serial |
2405 |
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| Author |
Mathieu Nicolas Delalandre; Jean-Yves Ramel; Ernest Valveny; Muhammad Muzzamil Luqman |
| Title |
A Performance Characterization Algorithm for Symbol Localization |
Type |
Book Chapter |
| Year |
2010 |
Publication |
Graphics Recognition. Achievements, Challenges, and Evolution. 8th International Workshop, GREC 2009. Selected Papers |
Abbreviated Journal |
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| Volume |
6020 |
Issue |
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Pages |
260–271 |
| Keywords |
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| Abstract |
In this paper we present an algorithm for performance characterization of symbol localization systems. This algorithm is aimed to be a more “reliable” and “open” solution to characterize the performance. To achieve that, it exploits only single points as the result of localization and offers the possibility to reconsider the localization results provided by a system. We use the information about context in groundtruth, and overall localization results, to detect the ambiguous localization results. A probability score is computed for each matching between a localization point and a groundtruth region, depending on the spatial distribution of the other regions in the groundtruth. Final characterization is given with detection rate/probability score plots, describing the sets of possible interpretations of the localization results, according to a given confidence rate. We present experimentation details along with the results for the symbol localization system of [1], exploiting a synthetic dataset of architectural floorplans and electrical diagrams (composed of 200 images and 3861 symbols). |
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| Publisher |
Springer Berlin Heidelberg |
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LNCS |
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Series Issue |
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Edition |
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| ISSN |
0302-9743 |
ISBN |
978-3-642-13727-3 |
Medium |
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| Area |
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Expedition |
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Conference |
GREC |
| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ DRV2010 |
Serial |
2406 |
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| Author |
Marçal Rusiñol; K. Bertet; Jean-Marc Ogier; Josep Llados |
| Title |
Symbol Recognition Using a Concept Lattice of Graphical Patterns |
Type |
Book Chapter |
| Year |
2010 |
Publication |
Graphics Recognition. Achievements, Challenges, and Evolution. 8th International Workshop, GREC 2009. Selected Papers |
Abbreviated Journal |
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| Volume |
6020 |
Issue |
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Pages |
187-198 |
| Keywords |
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| Abstract |
In this paper we propose a new approach to recognize symbols by the use of a concept lattice. We propose to build a concept lattice in terms of graphical patterns. Each model symbol is decomposed in a set of composing graphical patterns taken as primitives. Each one of these primitives is described by boundary moment invariants. The obtained concept lattice relates which symbolic patterns compose a given graphical symbol. A Hasse diagram is derived from the context and is used to recognize symbols affected by noise. We present some preliminary results over a variation of the dataset of symbols from the GREC 2005 symbol recognition contest. |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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LNCS |
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0302-9743 |
ISBN |
978-3-642-13727-3 |
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| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ RBO2010 |
Serial |
2407 |
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| Author |
Bhaskar Chakraborty; Jordi Gonzalez; Xavier Roca |
| Title |
Large scale continuous visual event recognition using max-margin Hough transformation framework |
Type |
Journal Article |
| Year |
2013 |
Publication |
Computer Vision and Image Understanding |
Abbreviated Journal |
CVIU |
| Volume |
117 |
Issue |
10 |
Pages |
1356–1368 |
| Keywords |
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| Abstract |
In this paper we propose a novel method for continuous visual event recognition (CVER) on a large scale video dataset using max-margin Hough transformation framework. Due to high scalability, diverse real environmental state and wide scene variability direct application of action recognition/detection methods such as spatio-temporal interest point (STIP)-local feature based technique, on the whole dataset is practically infeasible. To address this problem, we apply a motion region extraction technique which is based on motion segmentation and region clustering to identify possible candidate “event of interest” as a preprocessing step. On these candidate regions a STIP detector is applied and local motion features are computed. For activity representation we use generalized Hough transform framework where each feature point casts a weighted vote for possible activity class centre. A max-margin frame work is applied to learn the feature codebook weight. For activity detection, peaks in the Hough voting space are taken into account and initial event hypothesis is generated using the spatio-temporal information of the participating STIPs. For event recognition a verification Support Vector Machine is used. An extensive evaluation on benchmark large scale video surveillance dataset (VIRAT) and as well on a small scale benchmark dataset (MSR) shows that the proposed method is applicable on a wide range of continuous visual event recognition applications having extremely challenging conditions. |
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Edition |
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| ISSN |
1077-3142 |
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| Notes |
ISE |
Approved |
no |
| Call Number |
Admin @ si @ CGR2013 |
Serial |
2413 |
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| Author |
German Ros |
| Title |
Visual SLAM for Driverless Cars: An Initial Survey |
Type |
Report |
| Year |
2012 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
170 |
Issue |
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Pages |
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Thesis |
Master's thesis |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ Ros2012c |
Serial |
2414 |
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| Author |
Xu Hu |
| Title |
Real-Time Part Based Models for Object Detection |
Type |
Report |
| Year |
2012 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
171 |
Issue |
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Pages |
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Thesis |
Master's thesis |
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ADAS;ISE |
Approved |
no |
| Call Number |
Admin @ si @ Hu2012 |
Serial |
2415 |
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| Author |
Nuria Cirera |
| Title |
Recognition of Handwritten Historical Documents |
Type |
Report |
| Year |
2012 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
174 |
Issue |
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Pages |
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Thesis |
Master's thesis |
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DAG |
Approved |
no |
| Call Number |
Admin @ si @ Cir2012 |
Serial |
2416 |
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| Author |
Adria Ruiz; Joost Van de Weijer; Xavier Binefa |
| Title |
Regularized Multi-Concept MIL for weakly-supervised facial behavior categorization |
Type |
Conference Article |
| Year |
2014 |
Publication |
25th British Machine Vision Conference |
Abbreviated Journal |
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Issue |
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Pages |
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| Abstract |
We address the problem of estimating high-level semantic labels for videos of recorded people by means of analysing their facial expressions. This problem, to which we refer as facial behavior categorization, is a weakly-supervised learning problem where we do not have access to frame-by-frame facial gesture annotations but only weak-labels at the video level are available. Therefore, the goal is to learn a set of discriminative expressions and how they determine the video weak-labels. Facial behavior categorization can be posed as a Multi-Instance-Learning (MIL) problem and we propose a novel MIL method called Regularized Multi-Concept MIL to solve it. In contrast to previous approaches applied in facial behavior analysis, RMC-MIL follows a Multi-Concept assumption which allows different facial expressions (concepts) to contribute differently to the video-label. Moreover, to handle with the high-dimensional nature of facial-descriptors, RMC-MIL uses a discriminative approach to model the concepts and structured sparsity regularization to discard non-informative features. RMC-MIL is posed as a convex-constrained optimization problem where all the parameters are jointly learned using the Projected-Quasi-Newton method. In our experiments, we use two public data-sets to show the advantages of the Regularized Multi-Concept approach and its improvement compared to existing MIL methods. RMC-MIL outperforms state-of-the-art results in the UNBC data-set for pain detection. |
| Address |
Nottingham; UK; September 2014 |
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Conference |
BMVC |
| Notes |
LAMP; CIC; 600.074; 600.079 |
Approved |
no |
| Call Number |
Admin @ si @ RWB2014 |
Serial |
2508 |
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| Author |
Ferran Poveda |
| Title |
Computer Graphics and Vision Techniques for the Study of the Muscular Fiber Architecture of the Myocardium |
Type |
Book Whole |
| Year |
2013 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Thesis |
Ph.D. thesis |
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Editor |
Debora Gil;Enric Marti |
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IAM |
Approved |
no |
| Call Number |
Admin @ si @ Pov2013 |
Serial |
2417 |
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| Author |
Fernando Vilariño; Stephan Ameling; Gerard Lacey; Stephen Patchett; Hugh Mulcahy |
| Title |
Eye Tracking Search Patterns in Expert and Trainee Colonoscopists: A Novel Method of Assessing Endoscopic Competency? |
Type |
Journal Article |
| Year |
2009 |
Publication |
Gastrointestinal Endoscopy |
Abbreviated Journal |
GI |
| Volume |
69 |
Issue |
5 |
Pages |
370 |
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800 |
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| Notes |
MV;SIAI |
Approved |
no |
| Call Number |
fernando @ fernando @ |
Serial |
2420 |
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| Author |
Miquel Ferrer; I. Bardaji; Ernest Valveny; Dimosthenis Karatzas; Horst Bunke |
| Title |
Median Graph Computation by Means of Graph Embedding into Vector Spaces |
Type |
Book Chapter |
| Year |
2013 |
Publication |
Graph Embedding for Pattern Analysis |
Abbreviated Journal |
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Issue |
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Pages |
45-72 |
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| Abstract |
In pattern recognition [8, 14], a key issue to be addressed when designing a system is how to represent input patterns. Feature vectors is a common option. That is, a set of numerical features describing relevant properties of the pattern are computed and arranged in a vector form. The main advantages of this kind of representation are computational simplicity and a well sound mathematical foundation. Thus, a large number of operations are available to work with vectors and a large repository of algorithms for pattern analysis and classification exist. However, the simple structure of feature vectors might not be the best option for complex patterns where nonnumerical features or relations between different parts of the pattern become relevant. |
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Springer New York |
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Editor |
Yun Fu; Yungian Ma |
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978-1-4614-4456-5 |
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DAG |
Approved |
no |
| Call Number |
Admin @ si @ FBV2013 |
Serial |
2421 |
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| Author |
Rozenn Dhayot; Fernando Vilariño; Gerard Lacey |
| Title |
Improving the Quality of Color Colonoscopy Videos |
Type |
Journal Article |
| Year |
2008 |
Publication |
EURASIP Journal on Image and Video Processing |
Abbreviated Journal |
EURASIP JIVP |
| Volume |
139429 |
Issue |
1 |
Pages |
1-9 |
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800 |
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MV;SIAI |
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no |
| Call Number |
fernando @ fernando @ |
Serial |
2422 |
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| Author |
Mirko Arnold; Anarta Ghosh; Stephen Ameling; G Lacey |
| Title |
Automatic segmentation and inpainting of specular highlights for endoscopic imaging |
Type |
Journal Article |
| Year |
2010 |
Publication |
EURASIP Journal on Image and Video Processing |
Abbreviated Journal |
EURASIP JIVP |
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2010 |
Issue |
9 |
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800 |
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MV |
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no |
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fernando @ fernando @ |
Serial |
2423 |
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| Author |
Mirko Arnold; Anarta Ghosh; Gerard Lacey; Stephen Patchett; Hugh Mulcahy |
| Title |
Indistinct frame detection in colonoscopy videos |
Type |
Conference Article |
| Year |
2009 |
Publication |
Machine Vision and Image Processing Conference |
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47-52 |
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800 |
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MV |
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no |
| Call Number |
fernando @ fernando @ |
Serial |
2424 |
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| Author |
Mirko Arnold; Stephan Ameling; Anarta Ghosh; Gerard Lacey |
| Title |
Quality Improvement of Endoscopy Videos |
Type |
Conference Article |
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2011 |
Publication |
Proceedings of the 8th IASTED International Conference on Biomedical Engineering |
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723 |
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800 |
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MV |
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no |
| Call Number |
fernando @ fernando @ |
Serial |
2426 |
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