| Records |
| Author |
Javier Vazquez |
Title  |
Content-based Colour Space |
Type |
Report |
| Year |
2007 |
Publication |
CVC Technical Report #116 |
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CVC (UAB) |
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CIC |
Approved |
no |
| Call Number |
Admin @ si @ Vaz2007b |
Serial |
828 |
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| Author |
Lei Kang; Pau Riba; Marcal Rusinol; Alicia Fornes; Mauricio Villegas |
| Title |
Content and Style Aware Generation of Text-line Images for Handwriting Recognition |
Type |
Journal Article |
| Year |
2021 |
Publication |
IEEE Transactions on Pattern Analysis and Machine Intelligence |
Abbreviated Journal |
TPAMI |
| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
Handwritten Text Recognition has achieved an impressive performance in public benchmarks. However, due to the high inter- and intra-class variability between handwriting styles, such recognizers need to be trained using huge volumes of manually labeled training data. To alleviate this labor-consuming problem, synthetic data produced with TrueType fonts has been often used in the training loop to gain volume and augment the handwriting style variability. However, there is a significant style bias between synthetic and real data which hinders the improvement of recognition performance. To deal with such limitations, we propose a generative method for handwritten text-line images, which is conditioned on both visual appearance and textual content. Our method is able to produce long text-line samples with diverse handwriting styles. Once properly trained, our method can also be adapted to new target data by only accessing unlabeled text-line images to mimic handwritten styles and produce images with any textual content. Extensive experiments have been done on making use of the generated samples to boost Handwritten Text Recognition performance. Both qualitative and quantitative results demonstrate that the proposed approach outperforms the current state of the art. |
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| Notes |
DAG; 600.140; 600.121 |
Approved |
no |
| Call Number |
Admin @ si @ KRR2021 |
Serial |
3612 |
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| Author |
V. Valev; Petia Radeva |
| Title |
Constructing Quantitative Non-Reducible Descriptors. |
Type |
Miscellaneous |
| Year |
1995 |
Publication |
9th Scandinavian Conference on Artificial Intelligence |
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Sweden |
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| Notes |
MILAB |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ VaR1995b |
Serial |
140 |
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| Author |
Fadi Dornaika; Bogdan Raducanu |
| Title |
Constructing Panoramic Views Through Facial Gaze Tracking |
Type |
Conference Article |
| Year |
2008 |
Publication |
IEEE International Conference on Multimedia and Expo, |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
969–972 |
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| Address |
Hannover (Germany) |
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Conference |
ICME |
| Notes |
OR;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ DoR2008b |
Serial |
983 |
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| Author |
Mikhail Mozerov |
| Title |
Constrained Optical Flow Estimation as a Matching Problem |
Type |
Journal Article |
| Year |
2013 |
Publication |
IEEE Transactions on Image Processing |
Abbreviated Journal |
TIP |
| Volume |
22 |
Issue |
5 |
Pages |
2044-2055 |
| Keywords |
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| Abstract |
In general, discretization in the motion vector domain yields an intractable number of labels. In this paper we propose an approach that can reduce general optical flow to the constrained matching problem by pre-estimating a 2D disparity labeling map of the desired discrete motion vector function. One of the goals of the proposed paper is estimating coarse distribution of motion vectors and then utilizing this distribution as global constraints for discrete optical flow estimation. This pre-estimation is done with a simple frame-to-frame correlation technique also known as the digital symmetric-phase-only-filter (SPOF). We discover a strong correlation between the output of the SPOF and the motion vector distribution of the related optical flow. The two step matching paradigm for optical flow estimation is applied: pixel accuracy (integer flow), and subpixel accuracy estimation. The matching problem is solved by global optimization. Experiments on the Middlebury optical flow datasets confirm our intuitive assumptions about strong correlation between motion vector distribution of optical flow and maximal peaks of SPOF outputs. The overall performance of the proposed method is promising and achieves state-of-the-art results on the Middlebury benchmark. |
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Edition |
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| ISSN |
1057-7149 |
ISBN |
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| Notes |
ISE |
Approved |
no |
| Call Number |
Admin @ si @ Moz2013 |
Serial |
2191 |
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| Author |
Jordi Roca |
| Title |
Constancy and inconstancy in categorical colour perception |
Type |
Book Whole |
| Year |
2012 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
Abbreviated Journal |
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Issue |
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Pages |
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| Abstract |
To recognise objects is perhaps the most important task an autonomous system, either biological or artificial needs to perform. In the context of human vision, this is partly achieved by recognizing the colour of surfaces despite changes in the wavelength distribution of the illumination, a property called colour constancy. Correct surface colour recognition may be adequately accomplished by colour category matching without the need to match colours precisely, therefore categorical colour constancy is likely to play an important role for object identification to be successful. The main aim of this work is to study the relationship between colour constancy and categorical colour perception. Previous studies of colour constancy have shown the influence of factors such the spatio-chromatic properties of the background, individual observer's performance, semantics, etc. However there is very little systematic study of these influences. To this end, we developed a new approach to colour constancy which includes both individual observers' categorical perception, the categorical structure of the background, and their interrelations resulting in a more comprehensive characterization of the phenomenon. In our study, we first developed a new method to analyse the categorical structure of 3D colour space, which allowed us to characterize individual categorical colour perception as well as quantify inter-individual variations in terms of shape and centroid location of 3D categorical regions. Second, we developed a new colour constancy paradigm, termed chromatic setting, which allows measuring the precise location of nine categorically-relevant points in colour space under immersive illumination. Additionally, we derived from these measurements a new colour constancy index which takes into account the magnitude and orientation of the chromatic shift, memory effects and the interrelations among colours and a model of colour naming tuned to each observer/adaptation state. Our results lead to the following conclusions: (1) There exists large inter-individual variations in the categorical structure of colour space, and thus colour naming ability varies significantly but this is not well predicted by low-level chromatic discrimination ability; (2) Analysis of the average colour naming space suggested the need for an additional three basic colour terms (turquoise, lilac and lime) for optimal colour communication; (3) Chromatic setting improved the precision of more complex linear colour constancy models and suggested that mechanisms other than cone gain might be best suited to explain colour constancy; (4) The categorical structure of colour space is broadly stable under illuminant changes for categorically balanced backgrounds; (5) Categorical inconstancy exists for categorically unbalanced backgrounds thus indicating that categorical information perceived in the initial stages of adaptation may constrain further categorical perception. |
| Address |
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| Corporate Author |
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Thesis |
Ph.D. thesis |
| Publisher |
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Place of Publication |
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Editor |
Maria Vanrell;C. Alejandro Parraga |
| Language |
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Conference |
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| Notes |
CIC |
Approved |
no |
| Call Number |
Admin @ si @ Roc2012 |
Serial |
2893 |
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| Author |
L.Tarazon; D. Perez; N. Serrano; V. Alabau; Oriol Ramos Terrades; A. Sanchis; A. Juan |
| Title |
Confidence Measures for Error Correction in Interactive Transcription of Handwritten Text |
Type |
Conference Article |
| Year |
2009 |
Publication |
15th International Conference on Image Analysis and Processing |
Abbreviated Journal |
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| Volume |
5716 |
Issue |
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Pages |
567-574 |
| Keywords |
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| Abstract |
An effective approach to transcribe old text documents is to follow an interactive-predictive paradigm in which both, the system is guided by the human supervisor, and the supervisor is assisted by the system to complete the transcription task as efficiently as possible. In this paper, we focus on a particular system prototype called GIDOC, which can be seen as a first attempt to provide user-friendly, integrated support for interactive-predictive page layout analysis, text line detection and handwritten text transcription. More specifically, we focus on the handwriting recognition part of GIDOC, for which we propose the use of confidence measures to guide the human supervisor in locating possible system errors and deciding how to proceed. Empirical results are reported on two datasets showing that a word error rate not larger than a 10% can be achieved by only checking the 32% of words that are recognised with less confidence. |
| Address |
Vietri sul Mare, Italy |
| Corporate Author |
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Thesis |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
0302-9743 |
ISBN |
978-3-642-04145-7 |
Medium |
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| Area |
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Expedition |
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Conference |
ICIAP |
| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ TPS2009 |
Serial |
1871 |
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| Author |
Hanne Kause; Aura Hernandez-Sabate; Patricia Marquez; Andrea Fuster; Luc Florack; Hans van Assen; Debora Gil |
| Title |
Confidence Measures for Assessing the HARP Algorithm in Tagged Magnetic Resonance Imaging |
Type |
Book Chapter |
| Year |
2015 |
Publication |
Statistical Atlases and Computational Models of the Heart. Revised selected papers of Imaging and Modelling Challenges 6th International Workshop, STACOM 2015, Held in Conjunction with MICCAI 2015 |
Abbreviated Journal |
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| Volume |
9534 |
Issue |
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Pages |
69-79 |
| Keywords |
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| Abstract |
Cardiac deformation and changes therein have been linked to pathologies. Both can be extracted in detail from tagged Magnetic Resonance Imaging (tMRI) using harmonic phase (HARP) images. Although point tracking algorithms have shown to have high accuracies on HARP images, these vary with position. Detecting and discarding areas with unreliable results is crucial for use in clinical support systems. This paper assesses the capability of two confidence measures (CMs), based on energy and image structure, for detecting locations with reduced accuracy in motion tracking results. These CMs were tested on a database of simulated tMRI images containing the most common artifacts that may affect tracking accuracy. CM performance is assessed based on its capability for HARP tracking error bounding and compared in terms of significant differences detected using a multi comparison analysis of variance that takes into account the most influential factors on HARP tracking performance. Results showed that the CM based on image structure was better suited to detect unreliable optical flow vectors. In addition, it was shown that CMs can be used to detect optical flow vectors with large errors in order to improve the optical flow obtained with the HARP tracking algorithm. |
| Address |
Munich; Germany; January 2015 |
| Corporate Author |
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Thesis |
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| Publisher |
Springer International Publishing |
Place of Publication |
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Original Title |
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Series Title |
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Abbreviated Series Title |
LNCS |
| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
0302-9743 |
ISBN |
978-3-319-28711-9 |
Medium |
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| Area |
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Expedition |
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Conference |
STACOM |
| Notes |
ADAS; IAM; 600.075; 600.076; 600.060; 601.145 |
Approved |
no |
| Call Number |
Admin @ si @ KHM2015 |
Serial |
2734 |
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| Author |
Francisco Javier Orozco; Jordi Gonzalez |
| Title |
Confidence Assessment on Eyelid and Eyebrow Expression Recognition |
Type |
Conference Article |
| Year |
2008 |
Publication |
2008 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008) |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Address |
Amsterdam (Holanda) |
| Corporate Author |
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Summary Language |
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Original Title |
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Series Title |
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Edition |
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| Notes |
ISE |
Approved |
no |
| Call Number |
ISE @ ise @ OrG2008 |
Serial |
1111 |
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| Author |
Patricia Marquez |
| Title |
Conditions Ensuring Accuracy of Local Optical Flow Schemes |
Type |
Report |
| Year |
2010 |
Publication |
CVC Tehcnical Report |
Abbreviated Journal |
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| Volume |
157 |
Issue |
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Pages |
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| Keywords |
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| Abstract |
Accurate computation of optical flow is a key-point in many image processing fields. Detection of anomalous and unpredicted agents (such as pedestrians, bikers or cars) in urban scenes or pathology discrimination in medical imaging sequences, to mention just a two. The above kinds sequences present two main difficulties for standard optical flow techniques. On one hand, variability in acquisition conditions (illuminance, medical imaging modality, ...) force an alterantive representation for images fulfilling the britghtness constancy constrain. On the hand, current variational schemes produce oversmoothed fields unable to properly model discontinuous behaviours such as collisions or functionless pathological areas. This master project explores the abilities and limitations of local and global optical flow approaches. The master student will put especial emphasis in the theoretical grounds behind in order to design a variational framework combining the theoretical advantages of the considered techniques. In particular an optical flow based on Gabor phase tracking (developed in the group for medical imaging) will be generalized to urban scenes. |
| Address |
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Thesis |
Master's thesis |
| Publisher |
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Place of Publication |
Bellaterra 08193, Barcelona, Spain |
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| Notes |
IAM; |
Approved |
no |
| Call Number |
IAM @ iam @ Mar2010 |
Serial |
1582 |
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| Author |
Francesco Ciompi; Oriol Pujol; E Fernandez-Nofrerias; J. Mauri; Petia Radeva |
| Title |
Conditional Random Fields for image segmentation in Intravascular Ultrasound |
Type |
Conference Article |
| Year |
2010 |
Publication |
Medical Image Computing in Catalunya: Graduate Student Workshop |
Abbreviated Journal |
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Issue |
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Pages |
13–14 |
| Keywords |
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| Abstract |
We present a Conditional Random Fields based approach for segmenting Intravascular Ultrasond (IVUS) images. The presented method uses a contextual discriminative graphical model to deal with the presence of distorsions and artifacts in IVUS images, that turns the segmentation of interesting regions into a difficult task. An accurate lumen segmentation on IVUS longitudinal images is achieved. |
| Address |
Girona |
| Corporate Author |
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Thesis |
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Place of Publication |
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Editor |
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Conference |
MICCAT |
| Notes |
MILAB;HUPBA |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ CPF2010 |
Serial |
1453 |
| Permanent link to this record |
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| Author |
Miguel Oliveira; L. Seabra Lopes; G. Hyun Lim; S. Hamidreza Kasaei; Angel Sappa; A. Tom |
| Title |
Concurrent Learning of Visual Codebooks and Object Categories in Openended Domains |
Type |
Conference Article |
| Year |
2015 |
Publication |
International Conference on Intelligent Robots and Systems |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
2488 - 2495 |
| Keywords |
Visual Learning; Computer Vision; Autonomous Agents |
| Abstract |
In open-ended domains, robots must continuously learn new object categories. When the training sets are created offline, it is not possible to ensure their representativeness with respect to the object categories and features the system will find when operating online. In the Bag of Words model, visual codebooks are constructed from training sets created offline. This might lead to non-discriminative visual words and, as a consequence, to poor recognition performance. This paper proposes a visual object recognition system which concurrently learns in an incremental and online fashion both the visual object category representations as well as the codebook words used to encode them. The codebook is defined using Gaussian Mixture Models which are updated using new object views. The approach contains similarities with the human visual object recognition system: evidence suggests that the development of recognition capabilities occurs on multiple levels and is sustained over large periods of time. Results show that the proposed system with concurrent learning of object categories and codebooks is capable of learning more categories, requiring less examples, and with similar accuracies, when compared to the classical Bag of Words approach using offline constructed codebooks. |
| Address |
Hamburg; Germany; October 2015 |
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Conference |
IROS |
| Notes |
ADAS; 600.076 |
Approved |
no |
| Call Number |
Admin @ si @ OSL2015 |
Serial |
2664 |
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| Author |
Sezer Karaoglu; Jan van Gemert; Theo Gevers |
| Title |
Con-text: text detection using background connectivity for fine-grained object classification |
Type |
Conference Article |
| Year |
2013 |
Publication |
21ST ACM International Conference on Multimedia |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
757-760 |
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Original Title |
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Edition |
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ISBN |
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Medium |
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Expedition |
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Conference |
ACM-MM |
| Notes |
ALTRES;ISE |
Approved |
no |
| Call Number |
Admin @ si @ KGG2013 |
Serial |
2369 |
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| Author |
Ciprian Corneanu; Sergio Escalera; Aleix M. Martinez |
| Title |
Computing the Testing Error Without a Testing Set |
Type |
Conference Article |
| Year |
2020 |
Publication |
33rd IEEE Conference on Computer Vision and Pattern Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Abstract |
Oral. Paper award nominee.
Deep Neural Networks (DNNs) have revolutionized computer vision. We now have DNNs that achieve top (performance) results in many problems, including object recognition, facial expression analysis, and semantic segmentation, to name but a few. The design of the DNNs that achieve top results is, however, non-trivial and mostly done by trailand-error. That is, typically, researchers will derive many DNN architectures (i.e., topologies) and then test them on multiple datasets. However, there are no guarantees that the selected DNN will perform well in the real world. One can use a testing set to estimate the performance gap between the training and testing sets, but avoiding overfitting-to-thetesting-data is almost impossible. Using a sequestered testing dataset may address this problem, but this requires a constant update of the dataset, a very expensive venture. Here, we derive an algorithm to estimate the performance gap between training and testing that does not require any testing dataset. Specifically, we derive a number of persistent topology measures that identify when a DNN is learning to generalize to unseen samples. This allows us to compute the DNN’s testing error on unseen samples, even when we do not have access to them. We provide extensive experimental validation on multiple networks and datasets to demonstrate the feasibility of the proposed approach. |
| Address |
Virtual CVPR |
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Thesis |
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Place of Publication |
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Summary Language |
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Original Title |
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Conference |
CVPR |
| Notes |
HuPBA; no proj |
Approved |
no |
| Call Number |
Admin @ si @ CEM2020 |
Serial |
3437 |
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| Author |
E. Pastor; A. Agueda; Juan Andrade; M. Muñoz; Y. Perez; E. Planas |
| Title |
Computing the rate of spread of linear flame fronts by thermal image processing |
Type |
Journal |
| Year |
2006 |
Publication |
Fire Safety Journal, 41(8):569–579 |
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Conference |
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| Notes |
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Approved |
no |
| Call Number |
Admin @ si @ PAA2006 |
Serial |
679 |
| Permanent link to this record |
