| Records |
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| Author |
Felipe Lumbreras; Ramon Baldrich; Maria Vanrell; Joan Serrat; Juan J. Villanueva |
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| Title |
Multiresolution colour texture representations for tile classification |
Type |
Miscellaneous |
| Year |
1999 |
Publication |
Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes |
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Bilbao |
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ADAS;CIC |
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| Call Number |
ADAS @ adas @ LBV1999a |
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3 |
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| Author |
Xavier Roca; Jordi Vitria; Maria Vanrell; Juan J. Villanueva |
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| Title |
Visual behaviours for binocular navigation with autonomous systems. |
Type |
Miscellaneous |
| Year |
1999 |
Publication |
Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes |
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OR;ISE;CIC;MV |
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BCNPCL @ bcnpcl @ RVV1999a |
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13 |
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| Author |
Bojana Gajic; Ariel Amato; Ramon Baldrich; Carlo Gatta |
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| Title |
Bag of Negatives for Siamese Architectures |
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Conference Article |
| Year |
2019 |
Publication |
30th British Machine Vision Conference |
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| Abstract |
Training a Siamese architecture for re-identification with a large number of identities is a challenging task due to the difficulty of finding relevant negative samples efficiently. In this work we present Bag of Negatives (BoN), a method for accelerated and improved training of Siamese networks that scales well on datasets with a very large number of identities. BoN is an efficient and loss-independent method, able to select a bag of high quality negatives, based on a novel online hashing strategy. |
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| Address |
Cardiff; United Kingdom; September 2019 |
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BMVC |
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| Notes |
CIC; 600.140; 600.118 |
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no |
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| Call Number |
Admin @ si @ GAB2019b |
Serial |
3263 |
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| Author |
Xavier Otazu; Olivier Penacchio; Xim Cerda-Company |
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| Title |
Brightness and colour induction through contextual influences in V1 |
Type |
Conference Article |
| Year |
2015 |
Publication |
Scottish Vision Group 2015 SGV2015 |
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| Volume |
12 |
Issue |
9 |
Pages |
1208-2012 |
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Carnoustie; Scotland; March 2015 |
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SGV |
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| Notes |
NEUROBIT;CIC |
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no |
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| Call Number |
Admin @ si @ OPC2015a |
Serial |
2632 |
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| Author |
Joost Van de Weijer; Fahad Shahbaz Khan |
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| Title |
Fusing Color and Shape for Bag-of-Words Based Object Recognition |
Type |
Conference Article |
| Year |
2013 |
Publication |
4th Computational Color Imaging Workshop |
Abbreviated Journal |
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| Volume |
7786 |
Issue |
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Pages |
25-34 |
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| Keywords |
Object Recognition; color features; bag-of-words; image classification |
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| Abstract |
In this article we provide an analysis of existing methods for the incorporation of color in bag-of-words based image representations. We propose a list of desired properties on which bases fusing methods can be compared. We discuss existing methods and indicate shortcomings of the two well-known fusing methods, namely early and late fusion. Several recent works have addressed these shortcomings by exploiting top-down information in the bag-of-words pipeline: color attention which is motivated from human vision, and Portmanteau vocabularies which are based on information theoretic compression of product vocabularies. We point out several remaining challenges in cue fusion and provide directions for future research. |
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| Address |
Chiba; Japan; March 2013 |
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Springer Berlin Heidelberg |
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0302-9743 |
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978-3-642-36699-4 |
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CCIW |
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| Notes |
CIC; 600.048 |
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no |
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| Call Number |
Admin @ si @ WeK2013 |
Serial |
2283 |
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| Author |
Naila Murray; Maria Vanrell; Xavier Otazu; C. Alejandro Parraga |
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| Title |
Saliency Estimation Using a Non-Parametric Low-Level Vision Model |
Type |
Conference Article |
| Year |
2011 |
Publication |
IEEE conference on Computer Vision and Pattern Recognition |
Abbreviated Journal |
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Pages |
433-440 |
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| Keywords |
Gaussian mixture model;ad hoc parameter selection;center-surround inhibition windows;center-surround mechanism;color appearance model;convolution;eye-fixation data;human vision;innate spatial pooling mechanism;inverse wavelet transform;low-level visual front-end;nonparametric low-level vision model;saliency estimation;saliency map;scale integration;scale-weighted center-surround response;scale-weighting function;visual task;Gaussian processes;biology;biology computing;colour vision;computer vision;visual perception;wavelet transforms |
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| Abstract |
Many successful models for predicting attention in a scene involve three main steps: convolution with a set of filters, a center-surround mechanism and spatial pooling to construct a saliency map. However, integrating spatial information and justifying the choice of various parameter values remain open problems. In this paper we show that an efficient model of color appearance in human vision, which contains a principled selection of parameters as well as an innate spatial pooling mechanism, can be generalized to obtain a saliency model that outperforms state-of-the-art models. Scale integration is achieved by an inverse wavelet transform over the set of scale-weighted center-surround responses. The scale-weighting function (termed ECSF) has been optimized to better replicate psychophysical data on color appearance, and the appropriate sizes of the center-surround inhibition windows have been determined by training a Gaussian Mixture Model on eye-fixation data, thus avoiding ad-hoc parameter selection. Additionally, we conclude that the extension of a color appearance model to saliency estimation adds to the evidence for a common low-level visual front-end for different visual tasks. |
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| Address |
Colorado Springs |
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1063-6919 |
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978-1-4577-0394-2 |
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CVPR |
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| Notes |
CIC |
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no |
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| Call Number |
Admin @ si @ MVO2011 |
Serial |
1757 |
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| Author |
Marc Serra; Olivier Penacchio; Robert Benavente; Maria Vanrell; Dimitris Samaras |
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| Title |
The Photometry of Intrinsic Images |
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Conference Article |
| Year |
2014 |
Publication |
27th IEEE Conference on Computer Vision and Pattern Recognition |
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Pages |
1494-1501 |
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| Abstract |
Intrinsic characterization of scenes is often the best way to overcome the illumination variability artifacts that complicate most computer vision problems, from 3D reconstruction to object or material recognition. This paper examines the deficiency of existing intrinsic image models to accurately account for the effects of illuminant color and sensor characteristics in the estimation of intrinsic images and presents a generic framework which incorporates insights from color constancy research to the intrinsic image decomposition problem. The proposed mathematical formulation includes information about the color of the illuminant and the effects of the camera sensors, both of which modify the observed color of the reflectance of the objects in the scene during the acquisition process. By modeling these effects, we get a “truly intrinsic” reflectance image, which we call absolute reflectance, which is invariant to changes of illuminant or camera sensors. This model allows us to represent a wide range of intrinsic image decompositions depending on the specific assumptions on the geometric properties of the scene configuration and the spectral properties of the light source and the acquisition system, thus unifying previous models in a single general framework. We demonstrate that even partial information about sensors improves significantly the estimated reflectance images, thus making our method applicable for a wide range of sensors. We validate our general intrinsic image framework experimentally with both synthetic data and natural images. |
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| Address |
Columbus; Ohio; USA; June 2014 |
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CVPR |
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CIC; 600.052; 600.051; 600.074 |
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no |
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| Call Number |
Admin @ si @ SPB2014 |
Serial |
2506 |
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| Author |
Partha Pratim Roy; Eduard Vazquez; Josep Llados; Ramon Baldrich; Umapada Pal |
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| Title |
A System to Retrieve Text/Symbols from Color Maps using Connected Component and Skeleton Analysis |
Type |
Conference Article |
| Year |
2007 |
Publication |
Seventh IAPR International Workshop on Graphics Recognition |
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79–78 |
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| Address |
Curitiba (Brasil) |
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J. Llados, W. Liu, J.M. Ogier |
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GREC |
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CAT; DAG;CIC |
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no |
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CAT @ cat @ RVL2007 |
Serial |
836 |
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| Author |
Robert Benavente |
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| Title |
Dealing with colour variability: application to a colour naming task |
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Report |
| Year |
1999 |
Publication |
CVC Technical Report #32 |
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CVC (UAB) |
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CIC |
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CAT @ cat @ Ben1999 |
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53 |
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Jordi Vitria; Petia Radeva; X. Binefa; A. Pujol; Ernest Valveny; Robert Benavente; Craig Von Land |
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| Title |
Real time recognition of pharmaceutical products by subspace methods |
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Report |
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1999 |
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CVC Technical Report #35 |
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OR;MILAB;DAG;CIC;MV |
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BCNPCL @ bcnpcl @ VRB1999b |
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54 |
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| Author |
Robert Benavente; Maria Vanrell |
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A colour naming experiment |
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Report |
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2001 |
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CVC Technical Report #56 |
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CIC |
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CAT @ cat @ BeV2001 |
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78 |
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| Author |
Maria Vanrell |
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| Title |
Exploring the space of behaviour of a texture perception algorithm |
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1997 |
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CVC Technical Report #12 |
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CAT @ cat @ Van1997 |
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523 |
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Anna Salvatella; Maria Vanrell |
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| Title |
Towards a texture representation database |
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2002 |
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CVC Technical Report #60 |
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CAT @ cat @ SaV2002 |
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526 |
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| Author |
A. Martinez; Robert Benavente |
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The AR face database |
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Report |
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1998 |
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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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| Author |
Javier Vazquez |
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| Title |
Content-based Colour Space |
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Report |
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2007 |
Publication |
CVC Technical Report #116 |
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CVC (UAB) |
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CIC |
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Admin @ si @ Vaz2007b |
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828 |
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| Author |
Jose Manuel Alvarez; Antonio Lopez; Ramon Baldrich |
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| Title |
Illuminant Invariant Model-Based Road Segmentation |
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Conference Article |
| Year |
2008 |
Publication |
IEEE Intelligent Vehicles Symposium, |
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1155–1180 |
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road detection |
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Eindhoven (The Netherlands) |
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ADAS;CIC |
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no |
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ADAS @ adas @ ALB2008 |
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1045 |
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| Author |
Francesc Tous; Maria Vanrell; Ramon Baldrich |
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| Title |
Relaxed Grey-World: Computational Colour Constancy by Surface Matching |
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Book Chapter |
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2005 |
Publication |
Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3522:192–199 |
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Estoril (Portugal) |
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CIC |
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CAT @ cat @ TVB2005 |
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555 |
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| Author |
Felipe Lumbreras; Xavier Roca; Daniel Ponsa; Robert Benavente; J. Martinez; Silvia Sanchez; Coen Antens; Juan J. Villanueva |
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| Title |
Visual Inspection of Safety Belts |
Type |
Conference Article |
| Year |
2001 |
Publication |
International Conference on Quality Control by Artificial Vision |
Abbreviated Journal |
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| Volume |
2 |
Issue |
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Pages |
526–531 |
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| Abstract |
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| Address |
France |
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Thesis |
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Summary Language |
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Original Title |
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ISBN |
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| Area |
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Expedition |
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Conference |
QCAV |
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| Notes |
ADAS;ISE;CIC |
Approved |
no |
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| Call Number |
ADAS @ adas @ LRP2001 |
Serial |
122 |
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| Permanent link to this record |
