| Records |
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Author  |
A. Martinez; Robert Benavente |
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| Title |
The AR face database |
Type |
Report |
| Year |
1998 |
Publication |
CVC Technical Report #24 |
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CIC |
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CAT @ cat @ MaB1998 |
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534 |
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A. Pujol; Jordi Vitria; Petia Radeva; X. Binefa; Robert Benavente; Ernest Valveny; Craig Von Land |
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| Title |
Real time pharmaceutical product recognition using color and shape indexing. |
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Conference Article |
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1999 |
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Proceedings of the 2nd International Workshop on European Scientific and Industrial Collaboration (WESIC´99), Promotoring Advanced Technologies in Manufacturing. |
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OR;MILAB;DAG;CIC;MV |
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BCNPCL @ bcnpcl @ PVR1999 |
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24 |
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| Author |
A. Richichi; O. Fors; M.T. Merino; Xavier Otazu; J. Nuñez; A. Prades; U. Thiele; D. Perez-Ramirez; F.J. Montojo |
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| Title |
The Calar Alto lunar occultation program: update and new results |
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Journal |
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2006 |
Publication |
Astronomy and Astrophysics (Section ’Stellar structure and evolution’), 445:1081–1088 |
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CIC |
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CAT @ cat @ RFM2006a |
Serial |
589 |
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| Author |
A. Ruiz; Joost Van de Weijer; Xavier Binefa |
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| Title |
Regularized Multi-Concept MIL for weakly-supervised facial behavior categorization |
Type |
Conference Article |
| Year |
2014 |
Publication |
25th British Machine Vision Conference |
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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. |
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Nottingham; UK; September 2014 |
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BMVC |
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LAMP; CIC; 600.074; 600.079 |
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no |
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Admin @ si @ RWB2014 |
Serial |
2508 |
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| Author |
A.Gonzalez; Robert Benavente; Olivier Penacchio; Javier Vazquez; Maria Vanrell; C. Alejandro Parraga |
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| Title |
Coloresia: An Interactive Colour Perception Device for the Visually Impaired |
Type |
Book Chapter |
| Year |
2013 |
Publication |
Multimodal Interaction in Image and Video Applications |
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| Volume |
48 |
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Pages |
47-66 |
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A significative percentage of the human population suffer from impairments in their capacity to distinguish or even see colours. For them, everyday tasks like navigating through a train or metro network map becomes demanding. We present a novel technique for extracting colour information from everyday natural stimuli and presenting it to visually impaired users as pleasant, non-invasive sound. This technique was implemented inside a Personal Digital Assistant (PDA) portable device. In this implementation, colour information is extracted from the input image and categorised according to how human observers segment the colour space. This information is subsequently converted into sound and sent to the user via speakers or headphones. In the original implementation, it is possible for the user to send its feedback to reconfigure the system, however several features such as these were not implemented because the current technology is limited.We are confident that the full implementation will be possible in the near future as PDA technology improves. |
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Springer Berlin Heidelberg |
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1868-4394 |
ISBN |
978-3-642-35931-6 |
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| Notes |
CIC; 600.052; 605.203 |
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no |
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Admin @ si @ GBP2013 |
Serial |
2266 |
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| Author |
Agata Lapedriza; Jaume Garcia; Ernest Valveny; Robert Benavente; Miquel Ferrer; Gemma Sanchez |
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| Title |
Una experiencia de aprenentatge basada en projectes en el ambit de la informatica |
Type |
Miscellaneous |
| Year |
2008 |
Publication |
V Jornades d’Innovacio Docent (UAB) |
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Pages |
63 |
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| Address |
Bellaterra (Spain) |
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| Notes |
OR; IAM; DAG; CIC; MV |
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no |
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BCNPCL @ bcnpcl @ LGV2008 |
Serial |
1030 |
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| Author |
Agnes Borras; Francesc Tous; Josep Llados; Maria Vanrell |
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| 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 |
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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. |
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| Address |
Springer-Verlag |
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| Notes |
DAG;CIC |
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no |
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CAT @ cat @ BTL2003a |
Serial |
368 |
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| Author |
Agnes Borras; Francesc Tous; Josep Llados; Maria Vanrell |
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| Title |
High-Level Clothes Description Based on Colour-Texture and Structural Features |
Type |
Conference Article |
| Year |
2003 |
Publication |
1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003 |
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| Address |
Palma de Mallorca |
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DAG;CIC |
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no |
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CAT @ cat @ BTL2003b |
Serial |
369 |
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| Author |
Albert Gordo |
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| Title |
A Cyclic Page Layout Descriptor for Document Classification & Retrieval |
Type |
Report |
| Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
128 |
Issue |
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Computer Vision Center |
Thesis |
Master's thesis |
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Place of Publication |
Bellaterra, Barcelona |
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| Notes |
CIC;DAG |
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no |
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Admin @ si @ Gor2009 |
Serial |
2387 |
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| Author |
Aleksandr Setkov; Fabio Martinez Carillo; Michele Gouiffes; Christian Jacquemin; Maria Vanrell; Ramon Baldrich |
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| Title |
DAcImPro: A Novel Database of Acquired Image Projections and Its Application to Object Recognition |
Type |
Conference Article |
| Year |
2015 |
Publication |
Advances in Visual Computing. Proceedings of 11th International Symposium, ISVC 2015 Part II |
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| Volume |
9475 |
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Pages |
463-473 |
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| Keywords |
Projector-camera systems; Feature descriptors; Object recognition |
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| Abstract |
Projector-camera systems are designed to improve the projection quality by comparing original images with their captured projections, which is usually complicated due to high photometric and geometric variations. Many research works address this problem using their own test data which makes it extremely difficult to compare different proposals. This paper has two main contributions. Firstly, we introduce a new database of acquired image projections (DAcImPro) that, covering photometric and geometric conditions and providing data for ground-truth computation, can serve to evaluate different algorithms in projector-camera systems. Secondly, a new object recognition scenario from acquired projections is presented, which could be of a great interest in such domains, as home video projections and public presentations. We show that the task is more challenging than the classical recognition problem and thus requires additional pre-processing, such as color compensation or projection area selection. |
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Springer International Publishing |
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LNCS |
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0302-9743 |
ISBN |
978-3-319-27862-9 |
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Conference |
ISVC |
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| Notes |
CIC |
Approved |
no |
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| Call Number |
Admin @ si @ SMG2015 |
Serial |
2736 |
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| Author |
Alicia Fornes; Josep Llados; Gemma Sanchez; Xavier Otazu; Horst Bunke |
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| Title |
A Combination of Features for Symbol-Independent Writer Identification in Old Music Scores |
Type |
Journal Article |
| Year |
2010 |
Publication |
International Journal on Document Analysis and Recognition |
Abbreviated Journal |
IJDAR |
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| Volume |
13 |
Issue |
4 |
Pages |
243-259 |
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| Abstract |
The aim of writer identification is determining the writer of a piece of handwriting from a set of writers. In this paper, we present an architecture for writer identification in old handwritten music scores. Even though an important amount of music compositions contain handwritten text, the aim of our work is to use only music notation to determine the author. The main contribution is therefore the use of features extracted from graphical alphabets. Our proposal consists in combining the identification results of two different approaches, based on line and textural features. The steps of the ensemble architecture are the following. First of all, the music sheet is preprocessed for removing the staff lines. Then, music lines and texture images are generated for computing line features and textural features. Finally, the classification results are combined for identifying the writer. The proposed method has been tested on a database of old music scores from the seventeenth to nineteenth centuries, achieving a recognition rate of about 92% with 20 writers. |
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Springer-Verlag |
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Edition |
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1433-2833 |
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| Notes |
DAG; CAT;CIC |
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no |
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| Call Number |
FLS2010b |
Serial |
1319 |
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| Author |
Alicia Fornes; Xavier Otazu; Josep Llados |
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| Title |
Show through cancellation and image enhancement by multiresolution contrast processing |
Type |
Conference Article |
| Year |
2013 |
Publication |
12th International Conference on Document Analysis and Recognition |
Abbreviated Journal |
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Pages |
200-204 |
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| Abstract |
Historical documents suffer from different types of degradation and noise such as background variation, uneven illumination or dark spots. In case of double-sided documents, another common problem is that the back side of the document usually interferes with the front side because of the transparency of the document or ink bleeding. This effect is called the show through phenomenon. Many methods are developed to solve these problems, and in the case of show-through, by scanning and matching both the front and back sides of the document. In contrast, our approach is designed to use only one side of the scanned document. We hypothesize that show-trough are low contrast components, while foreground components are high contrast ones. A Multiresolution Contrast (MC) decomposition is presented in order to estimate the contrast of features at different spatial scales. We cancel the show-through phenomenon by thresholding these low contrast components. This decomposition is also able to enhance the image removing shadowed areas by weighting spatial scales. Results show that the enhanced images improve the readability of the documents, allowing scholars both to recover unreadable words and to solve ambiguities. |
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Washington; USA; August 2013 |
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1520-5363 |
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ICDAR |
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| Notes |
DAG; 602.006; 600.045; 600.061; 600.052;CIC |
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no |
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Admin @ si @ FOL2013 |
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2241 |
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| Author |
Anna Salvatella; Maria Vanrell |
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| Title |
Towards a texture representation database |
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Report |
| Year |
2002 |
Publication |
CVC Technical Report #60 |
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CVC (UAB) |
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CIC |
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no |
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CAT @ cat @ SaV2002 |
Serial |
526 |
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| Author |
Anna Salvatella; Maria Vanrell; Juan J. Villanueva |
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| Title |
Texture Description based on Subtexture Components, 3rd International Workshop on Texture Syntesis and Analysis |
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Conference Article |
| Year |
2003 |
Publication |
3rd International Workshop on Texture Synthesis and Analysis, |
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77–82 |
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Nice |
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ISBN |
1-904410-11-1 |
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CIC |
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no |
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CAT @ cat @ SVV2003 |
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422 |
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| Author |
Anna Salvatella; Maria Vanrell; Ramon Baldrich |
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| Title |
Subtexture Components for Texture Description |
Type |
Miscellaneous |
| Year |
2003 |
Publication |
Lecture Notes in Computer Science, vol 2652, pp 884–892 |
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Springer-Verlag |
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CIC |
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CAT @ cat @ SVR2003 |
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421 |
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| Author |
Antonio Lopez; J. Hilgenstock; A. Busse; Ramon Baldrich; Felipe Lumbreras; Joan Serrat |
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| Title |
Nightime Vehicle Detecion for Intelligent Headlight Control |
Type |
Conference Article |
| Year |
2008 |
Publication |
Advanced Concepts for Intelligent Vision Systems, 10th International Conference, Proceedings, |
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5259 |
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113–124 |
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Intelligent Headlights; vehicle detection |
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| Address |
Juan-les-Pins, France |
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Conference |
ACIVS |
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| Notes |
ADAS;CIC |
Approved |
no |
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| Call Number |
ADAS @ adas @ LHB2008a |
Serial |
1098 |
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| Author |
Antonio Lopez; J. Hilgenstock; A. Busse; Ramon Baldrich; Felipe Lumbreras; Joan Serrat |
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| Title |
Temporal Coherence Analysis for Intelligent Headlight Control |
Type |
Miscellaneous |
| Year |
2008 |
Publication |
2nd Workshop on Perception, Planning and Navigation for Intelligent Vehicles |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
59–64 |
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| Keywords |
Intelligent Headlights |
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Original Title |
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Conference |
IROS |
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| Notes |
ADAS;CIC |
Approved |
no |
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| Call Number |
ADAS @ adas @ LHB2008b |
Serial |
1112 |
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| Permanent link to this record |
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| Author |
Arjan Gijsenij; Theo Gevers; Joost Van de Weijer |
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| Title |
Improving Color Constancy by Photometric Edge Weighting |
Type |
Journal Article |
| Year |
2012 |
Publication |
IEEE Transaction on Pattern Analysis and Machine Intelligence |
Abbreviated Journal |
TPAMI |
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| Volume |
34 |
Issue |
5 |
Pages |
918-929 |
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| Keywords |
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| Abstract |
: Edge-based color constancy methods make use of image derivatives to estimate the illuminant. However, different edge types exist in real-world images such as material, shadow and highlight edges. These different edge types may have a distinctive influence on the performance of the illuminant estimation. Therefore, in this paper, an extensive analysis is provided of different edge types on the performance of edge-based color constancy methods. First, an edge-based taxonomy is presented classifying edge types based on their photometric properties (e.g. material, shadow-geometry and highlights). Then, a performance evaluation of edge-based color constancy is provided using these different edge types. From this performance evaluation it is derived that specular and shadow edge types are more valuable than material edges for the estimation of the illuminant. To this end, the (iterative) weighted Grey-Edge algorithm is proposed in which these edge types are more emphasized for the estimation of the illuminant. Images that are recorded under controlled circumstances demonstrate that the proposed iterative weighted Grey-Edge algorithm based on highlights reduces the median angular error with approximately $25\%$. In an uncontrolled environment, improvements in angular error up to $11\%$ are obtained with respect to regular edge-based color constancy. |
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| Address |
Los Alamitos; CA; USA; |
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Original Title |
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Series Issue |
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Edition |
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| ISSN |
0162-8828 |
ISBN |
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Expedition |
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Conference |
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| Notes |
CIC;ISE |
Approved |
no |
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| Call Number |
Admin @ si @ GGW2012 |
Serial |
1850 |
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| Permanent link to this record |
