| Records |
| Author |
Naveen Onkarappa; Angel Sappa |
| Title |
Synthetic sequences and ground-truth flow field generation for algorithm validation |
Type |
Journal Article |
| Year |
2015 |
Publication  |
Multimedia Tools and Applications |
Abbreviated Journal |
MTAP |
| Volume |
74 |
Issue |
9 |
Pages |
3121-3135 |
| Keywords |
Ground-truth optical flow; Synthetic sequence; Algorithm validation |
| Abstract |
Research in computer vision is advancing by the availability of good datasets that help to improve algorithms, validate results and obtain comparative analysis. The datasets can be real or synthetic. For some of the computer vision problems such as optical flow it is not possible to obtain ground-truth optical flow with high accuracy in natural outdoor real scenarios directly by any sensor, although it is possible to obtain ground-truth data of real scenarios in a laboratory setup with limited motion. In this difficult situation computer graphics offers a viable option for creating realistic virtual scenarios. In the current work we present a framework to design virtual scenes and generate sequences as well as ground-truth flow fields. Particularly, we generate a dataset containing sequences of driving scenarios. The sequences in the dataset vary in different speeds of the on-board vision system, different road textures, complex motion of vehicle and independent moving vehicles in the scene. This dataset enables analyzing and adaptation of existing optical flow methods, and leads to invention of new approaches particularly for driver assistance systems. |
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| Publisher |
Springer US |
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Edition |
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| ISSN |
1380-7501 |
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Conference |
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| Notes |
ADAS; 600.055; 601.215; 600.076 |
Approved |
no |
| Call Number |
Admin @ si @ OnS2014b |
Serial |
2472 |
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| Author |
Joan M. Nuñez; Jorge Bernal; F. Javier Sanchez; Fernando Vilariño |
| Title |
Growing Algorithm for Intersection Detection (GRAID) in branching patterns |
Type |
Journal Article |
| Year |
2015 |
Publication |
Machine Vision and Applications |
Abbreviated Journal |
MVAP |
| Volume |
26 |
Issue |
2 |
Pages |
387-400 |
| Keywords |
Bifurcation ; Crossroad; Intersection ;Retina ; Vessel |
| Abstract |
Analysis of branching structures represents a very important task in fields such as medical diagnosis, road detection or biometrics. Detecting intersection landmarks Becomes crucial when capturing the structure of a branching pattern. We present a very simple geometrical model to describe intersections in branching structures based on two conditions: Bounded Tangency condition (BT) and Shortest Branch (SB) condition. The proposed model precisely sets a geometrical characterization of intersections and allows us to introduce a new unsupervised operator for intersection extraction. We propose an implementation that handles the consequences of digital domain operation that,unlike existing approaches, is not restricted to a particular scale and does not require the computation of the thinned pattern. The new proposal, as well as other existing approaches in the bibliography, are evaluated in a common framework for the first time. The performance analysis is based on two manually segmented image data sets: DRIVE retinal image database and COLON-VESSEL data set, a newly created data set of vascular content in colonoscopy frames. We have created an intersection landmark ground truth for each data set besides comparing our method in the only existing ground truth. Quantitative results confirm that we are able to outperform state-of-the-art performancelevels with the advantage that neither training nor parameter tuning is needed. |
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;SIAI |
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no |
| Call Number |
Admin @ si @MBS2015 |
Serial |
2777 |
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| Author |
Marta Nuñez-Garcia; Sonja Simpraga; M.Angeles Jurado; Maite Garolera; Roser Pueyo; Laura Igual |
| Title |
FADR: Functional-Anatomical Discriminative Regions for rest fMRI Characterization |
Type |
Conference Article |
| Year |
2015 |
Publication |
Machine Learning in Medical Imaging, Proceedings of 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015 |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
61-68 |
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| Address |
Munich; Germany; October 2015 |
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MLMI |
| Notes |
MILAB |
Approved |
no |
| Call Number |
Admin @ si @ NSJ2015 |
Serial |
2674 |
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| Author |
Fernando Vilariño |
| Title |
Computer Vision and Performing Arts |
Type |
Conference Article |
| Year |
2015 |
Publication |
Korean Scholars of Marketing Science |
Abbreviated Journal |
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Issue |
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Pages |
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| Address |
Seoul; Korea; October 2015 |
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Conference |
KAMS |
| Notes |
MV;SIAI |
Approved |
no |
| Call Number |
Admin @ si @Vil2015 |
Serial |
2799 |
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| Author |
Jaume Amores |
| Title |
MILDE: multiple instance learning by discriminative embedding |
Type |
Journal Article |
| Year |
2015 |
Publication |
Knowledge and Information Systems |
Abbreviated Journal |
KAIS |
| Volume |
42 |
Issue |
2 |
Pages |
381-407 |
| Keywords |
Multi-instance learning; Codebook; Bag of words |
| Abstract |
While the objective of the standard supervised learning problem is to classify feature vectors, in the multiple instance learning problem, the objective is to classify bags, where each bag contains multiple feature vectors. This represents a generalization of the standard problem, and this generalization becomes necessary in many real applications such as drug activity prediction, content-based image retrieval, and others. While the existing paradigms are based on learning the discriminant information either at the instance level or at the bag level, we propose to incorporate both levels of information. This is done by defining a discriminative embedding of the original space based on the responses of cluster-adapted instance classifiers. Results clearly show the advantage of the proposed method over the state of the art, where we tested the performance through a variety of well-known databases that come from real problems, and we also included an analysis of the performance using synthetically generated data. |
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Springer London |
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Edition |
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| ISSN |
0219-1377 |
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Conference |
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| Notes |
ADAS; 601.042; 600.057; 600.076 |
Approved |
no |
| Call Number |
Admin @ si @ Amo2015 |
Serial |
2383 |
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| Author |
Enric Marti; J.Roncaries; Debora Gil; Aura Hernandez-Sabate; Antoni Gurgui; Ferran Poveda |
| Title |
PBL On Line: A proposal for the organization, part-time monitoring and assessment of PBL group activities |
Type |
Journal |
| Year |
2015 |
Publication |
Journal of Technology and Science Education |
Abbreviated Journal |
JOTSE |
| Volume |
5 |
Issue |
2 |
Pages |
87-96 |
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| Notes |
IAM; ADAS; 600.076; 600.075 |
Approved |
no |
| Call Number |
Admin @ si @ MRG2015 |
Serial |
2608 |
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| Author |
Carles Sanchez; Oriol Ramos Terrades; Patricia Marquez; Enric Marti; J.Roncaries; Debora Gil |
| Title |
Automatic evaluation of practices in Moodle for Self Learning in Engineering |
Type |
Journal |
| Year |
2015 |
Publication |
Journal of Technology and Science Education |
Abbreviated Journal |
JOTSE |
| Volume |
5 |
Issue |
2 |
Pages |
97-106 |
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| Notes |
IAM; DAG; 600.075; 600.077 |
Approved |
no |
| Call Number |
Admin @ si @ SRM2015 |
Serial |
2610 |
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| Author |
Frederic Sampedro; Sergio Escalera; Anna Domenech; Ignasi Carrio |
| Title |
Automatic Tumor Volume Segmentation in Whole-Body PET/CT Scans: A Supervised Learning Approach Source |
Type |
Journal Article |
| Year |
2015 |
Publication |
Journal of Medical Imaging and Health Informatics |
Abbreviated Journal |
JMIHI |
| Volume |
5 |
Issue |
2 |
Pages |
192-201 |
| Keywords |
CONTEXTUAL CLASSIFICATION; PET/CT; SUPERVISED LEARNING; TUMOR SEGMENTATION; WHOLE BODY |
| Abstract |
Whole-body 3D PET/CT tumoral volume segmentation provides relevant diagnostic and prognostic information in clinical oncology and nuclear medicine. Carrying out this procedure manually by a medical expert is time consuming and suffers from inter- and intra-observer variabilities. In this paper, a completely automatic approach to this task is presented. First, the problem is stated and described both in clinical and technological terms. Then, a novel supervised learning segmentation framework is introduced. The segmentation by learning approach is defined within a Cascade of Adaboost classifiers and a 3D contextual proposal of Multiscale Stacked Sequential Learning. Segmentation accuracy results on 200 Breast Cancer whole body PET/CT volumes show mean 49% sensitivity, 99.993% specificity and 39% Jaccard overlap Index, which represent good performance results both at the clinical and technological level. |
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| Notes |
HuPBA;MILAB |
Approved |
no |
| Call Number |
Admin @ si @ SED2015 |
Serial |
2584 |
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| Author |
Dan Norton; Fernando Vilariño; Onur Ferhat |
| Title |
Memory Field – Creative Engagement in Digital Collections |
Type |
Conference Article |
| Year |
2015 |
Publication |
Internet Librarian International Conference |
Abbreviated Journal |
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Issue |
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Pages |
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| Abstract |
“Memory Fields” is a trans-disciplinary project aiming at the (re)valorisation of digital collections.Its main deliverable is an interface for a dual screen installation, used to access and mix the public library digital collections. The collections being used in this case are a collection of digitised posters from the Spanish Civil War, belonging to the Arxiu General de Catalunya, and a collection of field recordings made by Dan Norton. The system generates visualisations, and the images and sounds are mixed together using narrative primitives of video dj. Users contribute to the digital collections by adding personal memories and observations. The comments and recollections appear as flowers growing in a “memory field” and memories remain public in a Twitter feed (@Memoryfields). |
| Address |
London; UK; October 2015 |
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Conference |
ILI |
| Notes |
MV;SIAI |
Approved |
no |
| Call Number |
Admin @ si @NVF2015 |
Serial |
2796 |
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| Author |
Lluis Pere de las Heras; Oriol Ramos Terrades; Sergi Robles; Gemma Sanchez |
| Title |
CVC-FP and SGT: a new database for structural floor plan analysis and its groundtruthing tool |
Type |
Journal Article |
| Year |
2015 |
Publication |
International Journal on Document Analysis and Recognition |
Abbreviated Journal |
IJDAR |
| Volume |
18 |
Issue |
1 |
Pages |
15-30 |
| Keywords |
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| Abstract |
Recent results on structured learning methods have shown the impact of structural information in a wide range of pattern recognition tasks. In the field of document image analysis, there is a long experience on structural methods for the analysis and information extraction of multiple types of documents. Yet, the lack of conveniently annotated and free access databases has not benefited the progress in some areas such as technical drawing understanding. In this paper, we present a floor plan database, named CVC-FP, that is annotated for the architectural objects and their structural relations. To construct this database, we have implemented a groundtruthing tool, the SGT tool, that allows to make specific this sort of information in a natural manner. This tool has been made for general purpose groundtruthing: It allows to define own object classes and properties, multiple labeling options are possible, grants the cooperative work, and provides user and version control. We finally have collected some of the recent work on floor plan interpretation and present a quantitative benchmark for this database. Both CVC-FP database and the SGT tool are freely released to the research community to ease comparisons between methods and boost reproducible research. |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Edition |
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| ISSN |
1433-2833 |
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| Notes |
DAG; ADAS; 600.061; 600.076; 600.077 |
Approved |
no |
| Call Number |
Admin @ si @ HRR2015 |
Serial |
2567 |
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| Author |
Christophe Rigaud; Clement Guerin; Dimosthenis Karatzas; Jean-Christophe Burie; Jean-Marc Ogier |
| Title |
Knowledge-driven understanding of images in comic books |
Type |
Journal Article |
| Year |
2015 |
Publication |
International Journal on Document Analysis and Recognition |
Abbreviated Journal |
IJDAR |
| Volume |
18 |
Issue |
3 |
Pages |
199-221 |
| Keywords |
Document Understanding; comics analysis; expert system |
| Abstract |
Document analysis is an active field of research, which can attain a complete understanding of the semantics of a given document. One example of the document understanding process is enabling a computer to identify the key elements of a comic book story and arrange them according to a predefined domain knowledge. In this study, we propose a knowledge-driven system that can interact with bottom-up and top-down information to progressively understand the content of a document. We model the comic book’s and the image processing domains knowledge for information consistency analysis. In addition, different image processing methods are improved or developed to extract panels, balloons, tails, texts, comic characters and their semantic relations in an unsupervised way. |
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Springer Berlin Heidelberg |
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1433-2833 |
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| Notes |
DAG; 600.056; 600.077 |
Approved |
no |
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RGK2015 |
Serial |
2595 |
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| Author |
David Aldavert; Marçal Rusiñol; Ricardo Toledo; Josep Llados |
| Title |
A Study of Bag-of-Visual-Words Representations for Handwritten Keyword Spotting |
Type |
Journal Article |
| Year |
2015 |
Publication |
International Journal on Document Analysis and Recognition |
Abbreviated Journal |
IJDAR |
| Volume |
18 |
Issue |
3 |
Pages |
223-234 |
| Keywords |
Bag-of-Visual-Words; Keyword spotting; Handwritten documents; Performance evaluation |
| Abstract |
The Bag-of-Visual-Words (BoVW) framework has gained popularity among the document image analysis community, specifically as a representation of handwritten words for recognition or spotting purposes. Although in the computer vision field the BoVW method has been greatly improved, most of the approaches in the document image analysis domain still rely on the basic implementation of the BoVW method disregarding such latest refinements. In this paper, we present a review of those improvements and its application to the keyword spotting task. We thoroughly evaluate their impact against a baseline system in the well-known George Washington dataset and compare the obtained results against nine state-of-the-art keyword spotting methods. In addition, we also compare both the baseline and improved systems with the methods presented at the Handwritten Keyword Spotting Competition 2014. |
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Springer Berlin Heidelberg |
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1433-2833 |
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| Notes |
DAG; ADAS; 600.055; 600.061; 601.223; 600.077; 600.097 |
Approved |
no |
| Call Number |
Admin @ si @ ART2015 |
Serial |
2679 |
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| Author |
Aura Hernandez-Sabate; Meritxell Joanpere; Nuria Gorgorio; Lluis Albarracin |
| Title |
Mathematics learning opportunities when playing a Tower Defense Game |
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Journal |
| Year |
2015 |
Publication |
International Journal of Serious Games |
Abbreviated Journal |
IJSG |
| Volume |
2 |
Issue |
4 |
Pages |
57-71 |
| Keywords |
Tower Defense game; learning opportunities; mathematics; problem solving; game design |
| Abstract |
A qualitative research study is presented herein with the purpose of identifying mathematics learning opportunities in students between 10 and 12 years old while playing a commercial version of a Tower Defense game. These learning opportunities are understood as mathematicisable moments of the game and involve the establishment of relationships between the game and mathematical problem solving. Based on the analysis of these mathematicisable moments, we conclude that the game can promote problem-solving processes and learning opportunities that can be associated with different mathematical contents that appears in mathematics curricula, thought it seems that teacher or new game elements might be needed to facilitate the processes. |
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ADAS; 600.076 |
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no |
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Admin @ si @ HJG2015 |
Serial |
2730 |
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| Author |
Wenjuan Gong; W.Zhang; Jordi Gonzalez; Y.Ren; Z.Li |
| Title |
Enhanced Asymmetric Bilinear Model for Face Recognition |
Type |
Journal Article |
| Year |
2015 |
Publication |
International Journal of Distributed Sensor Networks |
Abbreviated Journal |
IJDSN |
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Issue |
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Pages |
Article ID 218514 |
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| Abstract |
Bilinear models have been successfully applied to separate two factors, for example, pose variances and different identities in face recognition problems. Asymmetric model is a type of bilinear model which models a system in the most concise way. But seldom there are works exploring the applications of asymmetric bilinear model on face recognition problem with illumination changes. In this work, we propose enhanced asymmetric model for illumination-robust face recognition. Instead of initializing the factor probabilities randomly, we initialize them with nearest neighbor method and optimize them for the test data. Above that, we update the factor model to be identified. We validate the proposed method on a designed data sample and extended Yale B dataset. The experiment results show that the enhanced asymmetric models give promising results and good recognition accuracies. |
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ISE; 600.063; 600.078 |
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no |
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Admin @ si @ GZG2015 |
Serial |
2592 |
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| Author |
Carles Sanchez; Jorge Bernal; F. Javier Sanchez; Antoni Rosell; Marta Diez-Ferrer; Debora Gil |
| Title |
Towards On-line Quantification of Tracheal Stenosis from Videobronchoscopy |
Type |
Journal Article |
| Year |
2015 |
Publication |
International Journal of Computer Assisted Radiology and Surgery |
Abbreviated Journal |
IJCAR |
| Volume |
10 |
Issue |
6 |
Pages |
935-945 |
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IAM; MV; 600.075 |
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no |
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Admin @ si @ SBS2015a |
Serial |
2611 |
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