| Records |
| Author |
Estefania Talavera; Maria Leyva-Vallina; Md. Mostafa Kamal Sarker; Domenec Puig; Nicolai Petkov; Petia Radeva |
| Title |
Hierarchical approach to classify food scenes in egocentric photo-streams |
Type |
Journal Article |
| Year |
2020 |
Publication |
IEEE Journal of Biomedical and Health Informatics |
Abbreviated Journal |
J-BHI |
Volume  |
24 |
Issue |
3 |
Pages |
866 - 877 |
| Keywords |
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| Abstract |
Recent studies have shown that the environment where people eat can affect their nutritional behaviour. In this work, we provide automatic tools for a personalised analysis of a person's health habits by the examination of daily recorded egocentric photo-streams. Specifically, we propose a new automatic approach for the classification of food-related environments, that is able to classify up to 15 such scenes. In this way, people can monitor the context around their food intake in order to get an objective insight into their daily eating routine. We propose a model that classifies food-related scenes organized in a semantic hierarchy. Additionally, we present and make available a new egocentric dataset composed of more than 33000 images recorded by a wearable camera, over which our proposed model has been tested. Our approach obtains an accuracy and F-score of 56\% and 65\%, respectively, clearly outperforming the baseline methods. |
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| Notes |
MILAB; no proj |
Approved |
no |
| Call Number |
Admin @ si @ TLM2020 |
Serial |
3380 |
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| Author |
Sanket Biswas; Pau Riba; Josep Llados; Umapada Pal |
| Title |
Beyond Document Object Detection: Instance-Level Segmentation of Complex Layouts |
Type |
Journal Article |
| Year |
2021 |
Publication |
International Journal on Document Analysis and Recognition |
Abbreviated Journal |
IJDAR |
| Volume |
24 |
Issue |
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Pages |
269–281 |
| Keywords |
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| Abstract |
Information extraction is a fundamental task of many business intelligence services that entail massive document processing. Understanding a document page structure in terms of its layout provides contextual support which is helpful in the semantic interpretation of the document terms. In this paper, inspired by the progress of deep learning methodologies applied to the task of object recognition, we transfer these models to the specific case of document object detection, reformulating the traditional problem of document layout analysis. Moreover, we importantly contribute to prior arts by defining the task of instance segmentation on the document image domain. An instance segmentation paradigm is especially important in complex layouts whose contents should interact for the proper rendering of the page, i.e., the proper text wrapping around an image. Finally, we provide an extensive evaluation, both qualitative and quantitative, that demonstrates the superior performance of the proposed methodology over the current state of the art. |
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| Notes |
DAG; 600.121; 600.140; 110.312 |
Approved |
no |
| Call Number |
Admin @ si @ BRL2021b |
Serial |
3574 |
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| Author |
Minesh Mathew; Lluis Gomez; Dimosthenis Karatzas; C.V. Jawahar |
| Title |
Asking questions on handwritten document collections |
Type |
Journal Article |
| Year |
2021 |
Publication |
International Journal on Document Analysis and Recognition |
Abbreviated Journal |
IJDAR |
| Volume |
24 |
Issue |
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Pages |
235-249 |
| Keywords |
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| Abstract |
This work addresses the problem of Question Answering (QA) on handwritten document collections. Unlike typical QA and Visual Question Answering (VQA) formulations where the answer is a short text, we aim to locate a document snippet where the answer lies. The proposed approach works without recognizing the text in the documents. We argue that the recognition-free approach is suitable for handwritten documents and historical collections where robust text recognition is often difficult. At the same time, for human users, document image snippets containing answers act as a valid alternative to textual answers. The proposed approach uses an off-the-shelf deep embedding network which can project both textual words and word images into a common sub-space. This embedding bridges the textual and visual domains and helps us retrieve document snippets that potentially answer a question. We evaluate results of the proposed approach on two new datasets: (i) HW-SQuAD: a synthetic, handwritten document image counterpart of SQuAD1.0 dataset and (ii) BenthamQA: a smaller set of QA pairs defined on documents from the popular Bentham manuscripts collection. We also present a thorough analysis of the proposed recognition-free approach compared to a recognition-based approach which uses text recognized from the images using an OCR. Datasets presented in this work are available to download at docvqa.org. |
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DAG; 600.121 |
Approved |
no |
| Call Number |
Admin @ si @ MGK2021 |
Serial |
3621 |
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| Author |
Aura Hernandez-Sabate; Jose Elias Yauri; Pau Folch; Daniel Alvarez; Debora Gil |
| Title |
EEG Dataset Collection for Mental Workload Predictions in Flight-Deck Environment |
Type |
Journal Article |
| Year |
2024 |
Publication |
Sensors |
Abbreviated Journal |
SENS |
| Volume |
24 |
Issue |
4 |
Pages |
1174 |
| Keywords |
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| Abstract |
High mental workload reduces human performance and the ability to correctly carry out complex tasks. In particular, aircraft pilots enduring high mental workloads are at high risk of failure, even with catastrophic outcomes. Despite progress, there is still a lack of knowledge about the interrelationship between mental workload and brain functionality, and there is still limited data on flight-deck scenarios. Although recent emerging deep-learning (DL) methods using physiological data have presented new ways to find new physiological markers to detect and assess cognitive states, they demand large amounts of properly annotated datasets to achieve good performance. We present a new dataset of electroencephalogram (EEG) recordings specifically collected for the recognition of different levels of mental workload. The data were recorded from three experiments, where participants were induced to different levels of workload through tasks of increasing cognition demand. The first involved playing the N-back test, which combines memory recall with arithmetical skills. The second was playing Heat-the-Chair, a serious game specifically designed to emphasize and monitor subjects under controlled concurrent tasks. The third was flying in an Airbus320 simulator and solving several critical situations. The design of the dataset has been validated on three different levels: (1) correlation of the theoretical difficulty of each scenario to the self-perceived difficulty and performance of subjects; (2) significant difference in EEG temporal patterns across the theoretical difficulties and (3) usefulness for the training and evaluation of AI models. |
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IAM |
Approved |
no |
| Call Number |
Admin @ si @ HYF2024 |
Serial |
4019 |
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| Author |
Antonio Lopez; Ernest Valveny; Juan J. Villanueva |
| Title |
Real-time quality control of surgical material packaging by artificial vision |
Type |
Journal Article |
| Year |
2005 |
Publication |
Assembly Automation |
Abbreviated Journal |
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| Volume |
25 |
Issue |
3 |
Pages |
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| Abstract |
IF: 0.061) |
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ADAS;DAG |
Approved |
no |
| Call Number |
ADAS @ adas @ LVV2005 |
Serial |
552 |
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| Author |
Robert Benavente; Maria Vanrell; Ramon Baldrich |
| Title |
Parametric Fuzzy Sets for Automatic Color Naming |
Type |
Journal |
| Year |
2008 |
Publication |
Journal of the Optical Society of America A |
Abbreviated Journal |
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| Volume |
25 |
Issue |
10 |
Pages |
2582–2593 |
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CIC |
Approved |
no |
| Call Number |
CAT @ cat @ BVB2008 |
Serial |
1004 |
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| Author |
Debora Gil; Aura Hernandez-Sabate; Oriol Rodriguez; J. Mauri; Petia Radeva |
| Title |
Statistical Strategy for Anisotropic Adventitia Modelling in IVUS |
Type |
Journal Article |
| Year |
2006 |
Publication |
IEEE Transactions on Medical Imaging |
Abbreviated Journal |
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| Volume |
25 |
Issue |
6 |
Pages |
768-778 |
| Keywords |
Corners; T-junctions; Wavelets |
| Abstract |
Vessel plaque assessment by analysis of intravascular ultrasound sequences is a useful tool for cardiac disease diagnosis and intervention. Manual detection of luminal (inner) and mediaadventitia (external) vessel borders is the main activity of physicians in the process of lumen narrowing (plaque) quantification. Difficult definition of vessel border descriptors, as well as, shades, artifacts, and blurred signal response due to ultrasound physical properties trouble automated adventitia segmentation. In order to efficiently approach such a complex problem, we propose blending advanced anisotropic filtering operators and statistical classification techniques into a vessel border modelling strategy. Our systematic statistical analysis shows that the reported adventitia detection achieves an accuracy in the range of interobserver variability regardless of plaque nature, vessel geometry, and incomplete vessel borders. Index Terms–-Anisotropic processing, intravascular ultrasound (IVUS), vessel border segmentation, vessel structure classification. |
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| Notes |
IAM;MILAB |
Approved |
no |
| Call Number |
IAM @ iam @ GHR2006 |
Serial |
1525 |
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| Author |
Enric Marti; Carme Julia; Debora Gil |
| Title |
A PBL Experience in the Teaching of Computer Graphics |
Type |
Conference Article |
| Year |
2007 |
Publication |
XVII Congreso Español de Informàtica Gráfica |
Abbreviated Journal |
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| Volume |
25 |
Issue |
1 |
Pages |
95-103 |
| Keywords |
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| Abstract |
Project-Based Learning (PBL) is an educational strategy to improve student’s learning capability that, in recent years, has had a progressive acceptance in undergraduate studies. This methodology is based on solving a problem or project in a student working group. In this way, PBL focuses on learning the necessary tools to correctly find a solution to given problems. Since the learning initiative is transferred to the student, the PBL method promotes students own abilities. This allows a better assessment of the true workload that carries out the student in the subject. It follows that the methodology conforms to the guidelines of the Bologna document, which quantifies the student workload in a subject by means of the European credit transfer system (ECTS). PBL is currently applied in undergraduate studies needing strong practical training such as medicine, nursing or law sciences. Although this is also the case in engineering studies, amazingly, few experiences have been reported. In this paper we propose to use PBL in the educational organization of the Computer Graphics subjects in the Computer Science degree. Our PBL project focuses in the development of a C++ graphical environment based on the OpenGL libraries for visualization and handling of different graphical objects. The starting point is a basic skeleton that already includes lighting functions, perspective projection with mouse interaction to change the point of view and three predefined objects. Students have to complete this skeleton by adding their own functions to solve the project. A total number of 10 projects have been proposed and successfully solved. The exercises range from human face rendering to articulated objects, such as robot arms or puppets. In the present paper we extensively report the statement and educational objectives for two of the projects: solar system visualization and a chess game. We report our earlier educational experience based on the standard classroom theoretical, problem and practice sessions and the reasons that motivated searching for other learning methods. We have mainly chosen PBL because it improves the student learning initiative. We have applied the PBL educational model since the beginning of the second semester. The student’s feedback increases in his interest for the subject. We present a comparative study of the teachers’ and students’ workload between PBL and the classic teaching approach, which suggests that the workload increase in PBL is not as high as it seems. |
| Address |
Zaragoza; September 2007 |
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CEDI |
| Notes |
IAM;ADAS; |
Approved |
no |
| Call Number |
IAM @ iam @ MJG2007a |
Serial |
1603 |
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| Author |
Enric Marti; Carme Julia; Debora Gil |
| Title |
A PBL Experience in the Teaching of Computer Graphics |
Type |
Journal Article |
| Year |
2006 |
Publication |
Computer Graphics Forum |
Abbreviated Journal |
CGF |
| Volume |
25 |
Issue |
1 |
Pages |
95-103 |
| Keywords |
|
| Abstract |
Project-Based Learning (PBL) is an educational strategy to improve student’s learning capability that, in recent years, has had a progressive acceptance in undergraduate studies. This methodology is based on solving a problem or project in a student working group. In this way, PBL focuses on learning the necessary tools to correctly find a solution to given problems. Since the learning initiative is transferred to the student, the PBL method promotes students own abilities. This allows a better assessment of the true workload that carries out the student in the subject. It follows that the methodology conforms to the guidelines of the Bologna document, which quantifies the student workload in a subject by means of the European credit transfer system (ECTS). PBL is currently applied in undergraduate studies needing strong practical training such as medicine, nursing or law sciences. Although this is also the case in engineering studies, amazingly, few experiences have been reported. In this paper we propose to use PBL in the educational organization of the Computer Graphics subjects in the Computer Science degree. Our PBL project focuses in the development of a C++ graphical environment based on the OpenGL libraries for visualization and handling of different graphical objects. The starting point is a basic skeleton that already includes lighting functions, perspective projection with mouse interaction to change the point of view and three predefined objects. Students have to complete this skeleton by adding their own functions to solve the project. A total number of 10 projects have been proposed and successfully solved. The exercises range from human face rendering to articulated objects, such as robot arms or puppets. In the present paper we extensively report the statement and educational objectives for two of the projects: solar system visualization and a chess game. We report our earlier educational experience based on the standard classroom theoretical, problem and practice sessions and the reasons that motivated searching for other learning methods. We have mainly chosen PBL because it improves the student learning initiative. We have applied the PBL educational model since the beginning of the second semester. The student’s feedback increases in his interest for the subject. We present a comparative study of the teachers’ and students’ workload between PBL and the classic teaching approach, which suggests that the workload increase in PBL is not as high as it seems. |
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Computer Graphics Forum |
Place of Publication |
Computer Vision CenterComputer Science Department Escola Tcnica Superior d’Enginyeria (UAB), Edifi |
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IAM;ADAS; |
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no |
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IAM @ iam @ MJG2006a |
Serial |
1607 |
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| Author |
Thierry Brouard; Jordi Gonzalez; Caifeng Shan; Massimo Piccardi; Larry S. Davis |
| Title |
Special issue on background modeling for foreground detection in real-world dynamic scenes |
Type |
Journal Article |
| Year |
2014 |
Publication |
Machine Vision and Applications |
Abbreviated Journal |
MVAP |
| Volume |
25 |
Issue |
5 |
Pages |
1101-1103 |
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| Abstract |
Although background modeling and foreground detection are not mandatory steps for computer vision applications, they may prove useful as they separate the primal objects usually called “foreground” from the remaining part of the scene called “background”, and permits different algorithmic treatment in the video processing field such as video surveillance, optical motion capture, multimedia applications, teleconferencing and human–computer interfaces. Conventional background modeling methods exploit the temporal variation of each pixel to model the background, and the foreground detection is made using change detection. The last decade witnessed very significant publications on background modeling but recently new applications in which background is not static, such as recordings taken from mobile devices or Internet videos, need new developments to detect robustly moving objects in challenging environments. Thus, effective methods for robustness to deal both with dynamic backgrounds, i |
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Springer Berlin Heidelberg |
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0932-8092 |
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| Notes |
ISE; 600.078 |
Approved |
no |
| Call Number |
BGS2014a |
Serial |
2411 |
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| Author |
Pedro Martins; Paulo Carvalho; Carlo Gatta |
| Title |
Context-aware features and robust image representations |
Type |
Journal Article |
| Year |
2014 |
Publication |
Journal of Visual Communication and Image Representation |
Abbreviated Journal |
JVCIR |
| Volume |
25 |
Issue |
2 |
Pages |
339-348 |
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| Abstract |
Local image features are often used to efficiently represent image content. The limited number of types of features that a local feature extractor responds to might be insufficient to provide a robust image representation. To overcome this limitation, we propose a context-aware feature extraction formulated under an information theoretic framework. The algorithm does not respond to a specific type of features; the idea is to retrieve complementary features which are relevant within the image context. We empirically validate the method by investigating the repeatability, the completeness, and the complementarity of context-aware features on standard benchmarks. In a comparison with strictly local features, we show that our context-aware features produce more robust image representations. Furthermore, we study the complementarity between strictly local features and context-aware ones to produce an even more robust representation. |
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LAMP; 600.079;MILAB |
Approved |
no |
| Call Number |
Admin @ si @ MCG2014 |
Serial |
2467 |
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| Author |
Fahad Shahbaz Khan; Shida Beigpour; Joost Van de Weijer; Michael Felsberg |
| Title |
Painting-91: A Large Scale Database for Computational Painting Categorization |
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Journal Article |
| Year |
2014 |
Publication |
Machine Vision and Applications |
Abbreviated Journal |
MVAP |
| Volume |
25 |
Issue |
6 |
Pages |
1385-1397 |
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| Abstract |
Computer analysis of visual art, especially paintings, is an interesting cross-disciplinary research domain. Most of the research in the analysis of paintings involve medium to small range datasets with own specific settings. Interestingly, significant progress has been made in the field of object and scene recognition lately. A key factor in this success is the introduction and availability of benchmark datasets for evaluation. Surprisingly, such a benchmark setup is still missing in the area of computational painting categorization. In this work, we propose a novel large scale dataset of digital paintings. The dataset consists of paintings from 91 different painters. We further show three applications of our dataset namely: artist categorization, style classification and saliency detection. We investigate how local and global features popular in image classification perform for the tasks of artist and style categorization. For both categorization tasks, our experimental results suggest that combining multiple features significantly improves the final performance. We show that state-of-the-art computer vision methods can correctly classify 50 % of unseen paintings to its painter in a large dataset and correctly attribute its artistic style in over 60 % of the cases. Additionally, we explore the task of saliency detection on paintings and show experimental findings using state-of-the-art saliency estimation algorithms. |
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Springer Berlin Heidelberg |
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0932-8092 |
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CIC; LAMP; 600.074; 600.079 |
Approved |
no |
| Call Number |
Admin @ si @ KBW2014 |
Serial |
2510 |
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| Author |
Jelena Gorbova; Egils Avots; Iiris Lusi; Mark Fishel; Sergio Escalera; Gholamreza Anbarjafari |
| Title |
Integrating Vision and Language for First Impression Personality Analysis |
Type |
Journal Article |
| Year |
2018 |
Publication |
IEEE Multimedia |
Abbreviated Journal |
MULTIMEDIA |
| Volume |
25 |
Issue |
2 |
Pages |
24 - 33 |
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| Abstract |
The authors present a novel methodology for analyzing integrated audiovisual signals and language to assess a persons personality. An evaluation of their proposed multimodal method using a job candidate screening system that predicted five personality traits from a short video demonstrates the methods effectiveness. |
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| Notes |
HUPBA; 602.133 |
Approved |
no |
| Call Number |
Admin @ si @ GAL2018 |
Serial |
3124 |
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| Author |
Thomas B. Moeslund; Sergio Escalera; Gholamreza Anbarjafari; Kamal Nasrollahi; Jun Wan |
| Title |
Statistical Machine Learning for Human Behaviour Analysis |
Type |
Journal Article |
| Year |
2020 |
Publication |
Entropy |
Abbreviated Journal |
ENTROPY |
| Volume |
25 |
Issue |
5 |
Pages |
530 |
| Keywords |
action recognition; emotion recognition; privacy-aware |
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HuPBA; no proj |
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no |
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Admin @ si @ MEA2020 |
Serial |
3441 |
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| Author |
J. Pladellorens; M.J. Yzuel; J. Castell; Joan Serrat |
| Title |
Calculo automatico del volumen del ventriculo izquierdo. Comparacion con expertos. |
Type |
Journal |
| Year |
1993 |
Publication |
Optica Pura y Aplicada. |
Abbreviated Journal |
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| Volume |
26 |
Issue |
3 |
Pages |
685–691 |
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ADAS |
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no |
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ADAS @ adas @ PYC1993 |
Serial |
149 |
| Permanent link to this record |
