| Records |
| Author |
Muhammad Muzzamil Luqman; Josep Llados; Jean-Yves Ramel; Thierry Brouard |
Title  |
A Fuzzy-Interval Based Approach For Explicit Graph Embedding, Recognizing Patterns in Signals, Speech, Images and Video |
Type |
Conference Article |
| Year |
2010 |
Publication |
20th International Conference on Pattern Recognition |
Abbreviated Journal |
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| Volume |
6388 |
Issue |
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Pages |
93–98 |
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| Abstract |
We present a new method for explicit graph embedding. Our algorithm extracts a feature vector for an undirected attributed graph. The proposed feature vector encodes details about the number of nodes, number of edges, node degrees, the attributes of nodes and the attributes of edges in the graph. The first two features are for the number of nodes and the number of edges. These are followed by w features for node degrees, m features for k node attributes and n features for l edge attributes — which represent the distribution of node degrees, node attribute values and edge attribute values, and are obtained by defining (in an unsupervised fashion), fuzzy-intervals over the list of node degrees, node attributes and edge attributes. Experimental results are provided for sample data of ICPR2010 contest GEPR. |
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Springer, Heidelberg |
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LNCS |
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0302-9743 |
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978-3-642-17710-1 |
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ICPR |
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DAG |
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no |
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DAG @ dag @ LLR2010 |
Serial |
1459 |
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| Author |
Ernest Valveny; Philippe Dosch |
| Title |
A general framework for the evaluation of symbol recognition methods |
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Journal |
| Year |
2006 |
Publication |
International Journal on Document Analysis and Recognition |
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DAG |
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DAG @ dag @ VaD2006 |
Serial |
686 |
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| Author |
Ernest Valveny; Philippe Dosch; Adam Winstanley; Yu Zhou; Su Yang; Luo Yan; Liu Wenyin; Dave Elliman; Mathieu Nicolas Delalandre; Eric Trupin; Sebastien Adam; Jean-Marc Ogier |
| Title |
A general framework for the evaluation of symbol recognition methods |
Type |
Journal |
| Year |
2006 |
Publication |
International Journal on Document Analysis and Recognition (IJDAR), 9(1): 59–74 |
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DAG |
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no |
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DAG @ dag @ VDW2006 |
Serial |
801 |
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| Author |
Ernest Valveny; Philippe Dosch |
| Title |
A General Framework for the Evaluation of Symbol Recognition Methods |
Type |
Journal |
| Year |
2007 |
Publication |
International Journal on Document Analysis and Recognition, vol. 9(1), pp 59–74 |
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DAG |
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DAG @ dag @ VaD2007 |
Serial |
893 |
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| Author |
Maria Vanrell; Jordi Vitria; Xavier Roca |
| Title |
A General Morphological Framework for Perceptual Texture Discrimination based on Granulometries. |
Type |
Miscellaneous |
| Year |
1993 |
Publication |
Technical Workshop on Mathematical Morphology and its Applications to Signal Processing. |
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| Address |
Barcelona |
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| Notes |
OR;ISE;CIC;MV |
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no |
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BCNPCL @ bcnpcl @ VVR1993 |
Serial |
154 |
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| Author |
Ariel Amato; Felipe Lumbreras; Angel Sappa |
| Title |
A General-purpose Crowdsourcing Platform for Mobile Devices |
Type |
Conference Article |
| Year |
2014 |
Publication |
9th International Conference on Computer Vision Theory and Applications |
Abbreviated Journal |
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| Volume |
3 |
Issue |
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Pages |
211-215 |
| Keywords |
Crowdsourcing Platform; Mobile Crowdsourcing |
| Abstract |
This paper presents details of a general purpose micro-task on-demand platform based on the crowdsourcing philosophy. This platform was specifically developed for mobile devices in order to exploit the strengths of such devices; namely: i) massivity, ii) ubiquity and iii) embedded sensors. The combined use of mobile platforms and the crowdsourcing model allows to tackle from the simplest to the most complex tasks. Users experience is the highlighted feature of this platform (this fact is extended to both task-proposer and tasksolver). Proper tools according with a specific task are provided to a task-solver in order to perform his/her job in a simpler, faster and appealing way. Moreover, a task can be easily submitted by just selecting predefined templates, which cover a wide range of possible applications. Examples of its usage in computer vision and computer games are provided illustrating the potentiality of the platform. |
| Address |
Lisboa; Portugal; January 2014 |
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VISAPP |
| Notes |
ISE; ADAS; 600.054; 600.055; 600.076; 600.078 |
Approved |
no |
| Call Number |
Admin @ si @ ALS2014 |
Serial |
2478 |
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| Author |
Patricia Suarez; Angel Sappa |
| Title |
A Generative Model for Guided Thermal Image Super-Resolution |
Type |
Conference Article |
| Year |
2024 |
Publication |
19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications |
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This paper presents a novel approach for thermal super-resolution based on a fusion prior, low-resolution thermal image and H brightness channel of the corresponding visible spectrum image. The method combines bicubic interpolation of the ×8 scale target image with the brightness component. To enhance the guidance process, the original RGB image is converted to HSV, and the brightness channel is extracted. Bicubic interpolation is then applied to the low-resolution thermal image, resulting in a Bicubic-Brightness channel blend. This luminance-bicubic fusion is used as an input image to help the training process. With this fused image, the cyclic adversarial generative network obtains high-resolution thermal image results. Experimental evaluations show that the proposed approach significantly improves spatial resolution and pixel intensity levels compared to other state-of-the-art techniques, making it a promising method to obtain high-resolution thermal. |
| Address |
Roma; Italia; February 2024 |
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Conference |
VISAPP |
| Notes |
MSIAU |
Approved |
no |
| Call Number |
Admin @ si @ SuS2024 |
Serial |
4002 |
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| Author |
Hunor Laczko; Meysam Madadi; Sergio Escalera; Jordi Gonzalez |
| Title |
A Generative Multi-Resolution Pyramid and Normal-Conditioning 3D Cloth Draping |
Type |
Conference Article |
| Year |
2024 |
Publication |
Winter Conference on Applications of Computer Vision |
Abbreviated Journal |
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Issue |
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Pages |
8709-8718 |
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| Abstract |
RGB cloth generation has been deeply studied in the related literature, however, 3D garment generation remains an open problem. In this paper, we build a conditional variational autoencoder for 3D garment generation and draping. We propose a pyramid network to add garment details progressively in a canonical space, i.e. unposing and unshaping the garments w.r.t. the body. We study conditioning the network on surface normal UV maps, as an intermediate representation, which is an easier problem to optimize than 3D coordinates. Our results on two public datasets, CLOTH3D and CAPE, show that our model is robust, controllable in terms of detail generation by the use of multi-resolution pyramids, and achieves state-of-the-art results that can highly generalize to unseen garments, poses, and shapes even when training with small amounts of data. |
| Address |
Waikoloa; Hawai; USA; January 2024 |
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Conference |
WACV |
| Notes |
ISE; HUPBA |
Approved |
no |
| Call Number |
Admin @ si @ LME2024 |
Serial |
3996 |
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| Author |
Josep Llados; Dimosthenis Karatzas; Joan Mas; Gemma Sanchez |
| Title |
A Generic Architecture for the Conversion of Document Collections into Semantically Annotated Digital Archives |
Type |
Journal |
| Year |
2008 |
Publication |
Journal of Universal Computer Science |
Abbreviated Journal |
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| Volume |
14 |
Issue |
18 |
Pages |
2912–2935 |
| Keywords |
Median Graph, Graph Embedding, Graph Matching, Structural Pattern Recognition |
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DAG |
Approved |
no |
| Call Number |
DAG @ dag @ LKM2008 |
Serial |
1142 |
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| Author |
Miquel Ferrer; Dimosthenis Karatzas; Ernest Valveny; I. Bardaji; Horst Bunke |
| Title |
A Generic Framework for Median Graph Computation based on a Recursive Embedding Approach |
Type |
Journal Article |
| Year |
2011 |
Publication |
Computer Vision and Image Understanding |
Abbreviated Journal |
CVIU |
| Volume |
115 |
Issue |
7 |
Pages |
919-928 |
| Keywords |
Median Graph, Graph Embedding, Graph Matching, Structural Pattern Recognition |
| Abstract |
The median graph has been shown to be a good choice to obtain a represen- tative of a set of graphs. However, its computation is a complex problem. Recently, graph embedding into vector spaces has been proposed to obtain approximations of the median graph. The problem with such an approach is how to go from a point in the vector space back to a graph in the graph space. The main contribution of this paper is the generalization of this previ- ous method, proposing a generic recursive procedure that permits to recover the graph corresponding to a point in the vector space, introducing only the amount of approximation inherent to the use of graph matching algorithms. In order to evaluate the proposed method, we compare it with the set me- dian and with the other state-of-the-art embedding-based methods for the median graph computation. The experiments are carried out using four dif- ferent databases (one semi-artificial and three containing real-world data). Results show that with the proposed approach we can obtain better medi- ans, in terms of the sum of distances to the training graphs, than with the previous existing methods. |
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DAG |
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no |
| Call Number |
IAM @ iam @ FKV2011 |
Serial |
1831 |
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| Author |
Adria Molina; Lluis Gomez; Oriol Ramos Terrades; Josep Llados |
| Title |
A Generic Image Retrieval Method for Date Estimation of Historical Document Collections |
Type |
Conference Article |
| Year |
2022 |
Publication |
Document Analysis Systems.15th IAPR International Workshop, (DAS2022) |
Abbreviated Journal |
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| Volume |
13237 |
Issue |
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Pages |
583–597 |
| Keywords |
Date estimation; Document retrieval; Image retrieval; Ranking loss; Smooth-nDCG |
| Abstract |
Date estimation of historical document images is a challenging problem, with several contributions in the literature that lack of the ability to generalize from one dataset to others. This paper presents a robust date estimation system based in a retrieval approach that generalizes well in front of heterogeneous collections. We use a ranking loss function named smooth-nDCG to train a Convolutional Neural Network that learns an ordination of documents for each problem. One of the main usages of the presented approach is as a tool for historical contextual retrieval. It means that scholars could perform comparative analysis of historical images from big datasets in terms of the period where they were produced. We provide experimental evaluation on different types of documents from real datasets of manuscript and newspaper images. |
| Address |
La Rochelle, France; May 22–25, 2022 |
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DAS |
| Notes |
DAG; 600.140; 600.121 |
Approved |
no |
| Call Number |
Admin @ si @ MGR2022 |
Serial |
3694 |
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| Author |
Mohammad ali Bagheri; Qigang Gao; Sergio Escalera |
| Title |
A Genetic-based Subspace Analysis Method for Improving Error-Correcting Output Coding |
Type |
Journal Article |
| Year |
2013 |
Publication |
Pattern Recognition |
Abbreviated Journal |
PR |
| Volume |
46 |
Issue |
10 |
Pages |
2830-2839 |
| Keywords |
Error Correcting Output Codes; Evolutionary computation; Multiclass classification; Feature subspace; Ensemble classification |
| Abstract |
Two key factors affecting the performance of Error Correcting Output Codes (ECOC) in multiclass classification problems are the independence of binary classifiers and the problem-dependent coding design. In this paper, we propose an evolutionary algorithm-based approach to the design of an application-dependent codematrix in the ECOC framework. The central idea of this work is to design a three-dimensional codematrix, where the third dimension is the feature space of the problem domain. In order to do that, we consider the feature space in the design process of the codematrix with the aim of improving the independence and accuracy of binary classifiers. The proposed method takes advantage of some basic concepts of ensemble classification, such as diversity of classifiers, and also benefits from the evolutionary approach for optimizing the three-dimensional codematrix, taking into account the problem domain. We provide a set of experimental results using a set of benchmark datasets from the UCI Machine Learning Repository, as well as two real multiclass Computer Vision problems. Both sets of experiments are conducted using two different base learners: Neural Networks and Decision Trees. The results show that the proposed method increases the classification accuracy in comparison with the state-of-the-art ECOC coding techniques. |
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Elsevier |
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0031-3203 |
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| Notes |
HuPBA;MILAB |
Approved |
no |
| Call Number |
Admin @ si @ BGE2013a |
Serial |
2247 |
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| Author |
Miguel Angel Bautista; Antonio Hernandez; Sergio Escalera; Laura Igual; Oriol Pujol; Josep Moya; Veronica Violant; Maria Teresa Anguera |
| Title |
A Gesture Recognition System for Detecting Behavioral Patterns of ADHD |
Type |
Journal Article |
| Year |
2016 |
Publication |
IEEE Transactions on System, Man and Cybernetics, Part B |
Abbreviated Journal |
TSMCB |
| Volume |
46 |
Issue |
1 |
Pages |
136-147 |
| Keywords |
Gesture Recognition; ADHD; Gaussian Mixture Models; Convex Hulls; Dynamic Time Warping; Multi-modal RGB-Depth data |
| Abstract |
We present an application of gesture recognition using an extension of Dynamic Time Warping (DTW) to recognize behavioural patterns of Attention Deficit Hyperactivity Disorder (ADHD). We propose an extension of DTW using one-class classifiers in order to be able to encode the variability of a gesture category, and thus, perform an alignment between a gesture sample and a gesture class. We model the set of gesture samples of a certain gesture category using either GMMs or an approximation of Convex Hulls. Thus, we add a theoretical contribution to classical warping path in DTW by including local modeling of intra-class gesture variability. This methodology is applied in a clinical context, detecting a group of ADHD behavioural patterns defined by experts in psychology/psychiatry, to provide support to clinicians in the diagnose procedure. The proposed methodology is tested on a novel multi-modal dataset (RGB plus Depth) of ADHD children recordings with behavioural patterns. We obtain satisfying results when compared to standard state-of-the-art approaches in the DTW context. |
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HuPBA; MILAB; |
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no |
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Admin @ si @ BHE2016 |
Serial |
2566 |
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| Author |
David Geronimo |
| Title |
A Global Approach to Vision-Based Pedestrian Detection for Advanced Driver Assistance Systems |
Type |
Book Whole |
| Year |
2010 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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| Abstract |
At the beginning of the 21th century, traffic accidents have become a major problem not only for developed countries but also for emerging ones. As in other scientific areas in which Artificial Intelligence is becoming a key actor, advanced driver assistance systems, and concretely pedestrian protection systems based on Computer Vision, are becoming a strong topic of research aimed at improving the safety of pedestrians. However, the challenge is of considerable complexity due to the varying appearance of humans (e.g., clothes, size, aspect ratio, shape, etc.), the dynamic nature of on-board systems and the unstructured moving environments that urban scenarios represent. In addition, the required performance is demanding both in terms of computational time and detection rates. In this thesis, instead of focusing on improving specific tasks as it is frequent in the literature, we present a global approach to the problem. Such a global overview starts by the proposal of a generic architecture to be used as a framework both to review the literature and to organize the studied techniques along the thesis. We then focus the research on tasks such as foreground segmentation, object classification and refinement following a general viewpoint and exploring aspects that are not usually analyzed. In order to perform the experiments, we also present a novel pedestrian dataset that consists of three subsets, each one addressed to the evaluation of a different specific task in the system. The results presented in this thesis not only end with a proposal of a pedestrian detection system but also go one step beyond by pointing out new insights, formalizing existing and proposed algorithms, introducing new techniques and evaluating their performance, which we hope will provide new foundations for future research in the area. |
| Address |
Antonio Lopez;Krystian Mikolajczyk;Jaume Amores;Dariu M. Gavrila;Oriol Pujol;Felipe Lumbreras |
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Thesis |
Ph.D. thesis |
| Publisher |
Ediciones Graficas Rey |
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Antonio Lopez;Krystian Mikolajczyk;Jaume Amores;Dariu M. Gavrila;Oriol Pujol;Felipe Lumbreras |
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ISBN |
978-84-936529-5-1 |
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ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ Ger2010 |
Serial |
1279 |
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| Author |
Gemma Sanchez; Josep Llados |
| Title |
A Graph Grammar to Recognize Textured Symbols. |
Type |
Miscellaneous |
| Year |
2001 |
Publication |
Sixth International Conference on Document Analysis and Recognition, ICDAR 2001, 465–469. |
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USA |
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DAG |
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no |
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DAG @ dag @ SLl2001 |
Serial |
162 |
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