Records |
Author |
Ivet Rafegas; Javier Vazquez; Robert Benavente; Maria Vanrell; Susana Alvarez |
Title |
Enhancing spatio-chromatic representation with more-than-three color coding for image description |
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Journal Article |
Year |
2017 |
Publication |
Journal of the Optical Society of America A |
Abbreviated Journal |
JOSA A |
Volume |
34 |
Issue |
5 |
Pages |
827-837 |
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Abstract |
Extraction of spatio-chromatic features from color images is usually performed independently on each color channel. Usual 3D color spaces, such as RGB, present a high inter-channel correlation for natural images. This correlation can be reduced using color-opponent representations, but the spatial structure of regions with small color differences is not fully captured in two generic Red-Green and Blue-Yellow channels. To overcome these problems, we propose a new color coding that is adapted to the specific content of each image. Our proposal is based on two steps: (a) setting the number of channels to the number of distinctive colors we find in each image (avoiding the problem of channel correlation), and (b) building a channel representation that maximizes contrast differences within each color channel (avoiding the problem of low local contrast). We call this approach more-than-three color coding (MTT) to enhance the fact that the number of channels is adapted to the image content. The higher color complexity an image has, the more channels can be used to represent it. Here we select distinctive colors as the most predominant in the image, which we call color pivots, and we build the new color coding using these color pivots as a basis. To evaluate the proposed approach we measure its efficiency in an image categorization task. We show how a generic descriptor improves its performance at the description level when applied on the MTT coding. |
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CIC; 600.087 |
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Admin @ si @ RVB2017 |
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2892 |
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Author |
Christophe Rigaud; Dimosthenis Karatzas; Joost Van de Weijer; Jean-Christophe Burie; Jean-Marc Ogier |
Title |
Automatic text localisation in scanned comic books |
Type |
Conference Article |
Year |
2013 |
Publication |
Proceedings of the International Conference on Computer Vision Theory and Applications |
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Pages |
814-819 |
Keywords |
Text localization; comics; text/graphic separation; complex background; unstructured document |
Abstract |
Comic books constitute an important cultural heritage asset in many countries. Digitization combined with subsequent document understanding enable direct content-based search as opposed to metadata only search (e.g. album title or author name). Few studies have been done in this direction. In this work we detail a novel approach for the automatic text localization in scanned comics book pages, an essential step towards a fully automatic comics book understanding. We focus on speech text as it is semantically important and represents the majority of the text present in comics. The approach is compared with existing methods of text localization found in the literature and results are presented. |
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Barcelona; February 2013 |
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VISAPP |
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DAG; CIC; 600.056 |
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Admin @ si @ RKW2013b |
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2261 |
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Author |
Xavier Otazu; Maria Vanrell; C. Alejandro Parraga |
Title |
Multiresolution Wavelet Framework Models Brightness Induction Effects |
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2008 |
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Vision Research |
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VR |
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48 |
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5 |
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733–751 |
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CAT @ cat @ OVP2008a |
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927 |
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Author |
Robert Benavente; Gemma Sanchez; Ramon Baldrich; Maria Vanrell; Josep Llados |
Title |
Normalized colour segmentation for human appearance description. |
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Conference Article |
Year |
2000 |
Publication |
15 th International Conference on Pattern Recognition |
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3 |
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637-641 |
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Barcelona. |
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ICPR |
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DAG;CIC |
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CAT @ cat @ BSB2000 |
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223 |
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Author |
Naila Murray; Sandra Skaff; Luca Marchesotti; Florent Perronnin |
Title |
Towards automatic and flexible concept transfer |
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Journal Article |
Year |
2012 |
Publication |
Computers and Graphics |
Abbreviated Journal |
CG |
Volume |
36 |
Issue |
6 |
Pages |
622–634 |
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Abstract |
This paper introduces a novel approach to automatic, yet flexible, image concepttransfer; examples of concepts are “romantic”, “earthy”, and “luscious”. The presented method modifies the color content of an input image given only a concept specified by a user in natural language, thereby requiring minimal user input. This method is particularly useful for users who are aware of the message they wish to convey in the transferred image while being unsure of the color combination needed to achieve the corresponding transfer. Our framework is flexible for two reasons. First, the user may select one of two modalities to map input image chromaticities to target concept chromaticities depending on the level of photo-realism required. Second, the user may adjust the intensity level of the concepttransfer to his/her liking with a single parameter. The proposed method uses a convex clustering algorithm, with a novel pruning mechanism, to automatically set the complexity of models of chromatic content. Results show that our approach yields transferred images which effectively represent concepts as confirmed by a user study. |
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0097-8493 |
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no |
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Admin @ si @ MSM2012 |
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2002 |
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Author |
Eduard Vazquez; Theo Gevers; M. Lucassen; Joost Van de Weijer; Ramon Baldrich |
Title |
Saliency of Color Image Derivatives: A Comparison between Computational Models and Human Perception |
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Journal Article |
Year |
2010 |
Publication |
Journal of the Optical Society of America A |
Abbreviated Journal |
JOSA A |
Volume |
27 |
Issue |
3 |
Pages |
613–621 |
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Abstract |
In this paper, computational methods are proposed to compute color edge saliency based on the information content of color edges. The computational methods are evaluated on bottom-up saliency in a psychophysical experiment, and on a more complex task of salient object detection in real-world images. The psychophysical experiment demonstrates the relevance of using information theory as a saliency processing model and that the proposed methods are significantly better in predicting color saliency (with a human-method correspondence up to 74.75% and an observer agreement of 86.8%) than state-of-the-art models. Furthermore, results from salient object detection confirm that an early fusion of color and contrast provide accurate performance to compute visual saliency with a hit rate up to 95.2%. |
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ISE;CIC |
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no |
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CAT @ cat @ VGL2010 |
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1275 |
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Author |
Felipe Lumbreras; Xavier Roca; Daniel Ponsa; Robert Benavente; Judit Martinez; Silvia Sanchez; Coen Antens; Juan J. Villanueva |
Title |
Visual Inspection of Safety Belts |
Type |
Conference Article |
Year |
2001 |
Publication |
International Conference on Quality Control by Artificial Vision |
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2 |
Issue |
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Pages |
526–531 |
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France |
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QCAV |
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ADAS;ISE;CIC |
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no |
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ADAS @ adas @ LRP2001 |
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122 |
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Author |
Olivier Penacchio |
Title |
Mixed Hodge Structures and Equivariant Sheaves on the Projective Plane |
Type |
Journal Article |
Year |
2011 |
Publication |
Mathematische Nachrichten |
Abbreviated Journal |
MN |
Volume |
284 |
Issue |
4 |
Pages |
526-542 |
Keywords |
Mixed Hodge structures, equivariant sheaves, MSC (2010) Primary: 14C30, Secondary: 14F05, 14M25 |
Abstract |
We describe an equivalence of categories between the category of mixed Hodge structures and a category of equivariant vector bundles on a toric model of the complex projective plane which verify some semistability condition. We then apply this correspondence to define an invariant which generalizes the notion of R-split mixed Hodge structure and give calculations for the first group of cohomology of possibly non smooth or non-complete curves of genus 0 and 1. Finally, we describe some extension groups of mixed Hodge structures in terms of equivariant extensions of coherent sheaves. © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim |
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WILEY-VCH Verlag |
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R. Mennicken |
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1522-2616 |
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CIC |
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no |
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Admin @ si @ Pen2011 |
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1721 |
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Author |
Ernest Valveny; Ricardo Toledo; Ramon Baldrich; Enric Marti |
Title |
Combining recognition-based in segmentation-based approaches for graphic symol recognition using deformable template matching |
Type |
Conference Article |
Year |
2002 |
Publication |
Proceeding of the Second IASTED International Conference Visualization, Imaging and Image Proceesing VIIP 2002 |
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502–507 |
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DAG;RV;CAT;IAM;CIC;ADAS |
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no |
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IAM @ iam @ VTB2002 |
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1660 |
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Author |
Jaime Moreno; Xavier Otazu |
Title |
Image coder based on Hilbert scanning of embedded quadTrees |
Type |
Conference Article |
Year |
2011 |
Publication |
Data Compression Conference |
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Volume |
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Issue |
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Pages |
470-470 |
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Abstract |
In this work we present an effective and computationally simple algorithm for image compression based on Hilbert Scanning of Embedded quadTrees (Hi-SET). It allows to represent an image as an embedded bitstream along a fractal function. Embedding is an important feature of modern image compression algorithms, in this way Salomon in [1, pg. 614] cite that another feature and perhaps a unique one is the fact of achieving the best quality for the number of bits input by the decoder at any point during the decoding. Hi-SET possesses also this latter feature. Furthermore, the coder is based on a quadtree partition strategy, that applied to image transformation structures such as discrete cosine or wavelet transform allows to obtain an energy clustering both in frequency and space. The coding algorithm is composed of three general steps, using just a list of significant pixels. |
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DCC |
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no |
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Admin @ si @ MoO2011b |
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2177 |
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Author |
Aleksandr Setkov; Fabio Martinez Carillo; Michele Gouiffes; Christian Jacquemin; Maria Vanrell; Ramon Baldrich |
Title |
DAcImPro: A Novel Database of Acquired Image Projections and Its Application to Object Recognition |
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Conference Article |
Year |
2015 |
Publication |
Advances in Visual Computing. Proceedings of 11th International Symposium, ISVC 2015 Part II |
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9475 |
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463-473 |
Keywords |
Projector-camera systems; Feature descriptors; Object recognition |
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 |
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978-3-319-27862-9 |
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ISVC |
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CIC |
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no |
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Admin @ si @ SMG2015 |
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2736 |
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Author |
T. Widemann; Xavier Otazu |
Title |
Titanias radius and an upper limit on its atmosphere from the September 8, 2001 stellar occultation |
Type |
Journal Article |
Year |
2009 |
Publication |
International Journal of Solar System Studies |
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Volume |
199 |
Issue |
2 |
Pages |
458–476 |
Keywords |
Occultations; Uranus, satellites; Satellites, shapes; Satellites, dynamics; Ices; Satellites, atmospheres |
Abstract |
On September 8, 2001 around 2 h UT, the largest uranian moon, Titania, occulted Hipparcos star 106829 (alias SAO 164538, a V=7.2, K0 III star). This was the first-ever observed occultation by this satellite, a rare event as Titania subtends only 0.11 arcsec on the sky. The star's unusual brightness allowed many observers, both amateurs or professionals, to monitor this unique event, providing fifty-seven occultations chords over three continents, all reported here. Selecting the best 27 occultation chords, and assuming a circular limb, we derive Titania's radius: View the MathML source (1-σ error bar). This implies a density of View the MathML source using the value View the MathML source derived by Taylor [Taylor, D.B., 1998. Astron. Astrophys. 330, 362–374]. We do not detect any significant difference between equatorial and polar radii, in the limit View the MathML source, in agreement with Voyager limb image retrieval during the 1986 flyby. Titania's offset with respect to the DE405 + URA027 (based on GUST86 theory) ephemeris is derived: ΔαTcos(δT)=−108±13 mas and ΔδT=−62±7 mas (ICRF J2000.0 system). Most of this offset is attributable to a Uranus' barycentric offset with respect to DE405, that we estimate to be: View the MathML source and ΔδU=−85±25 mas at the moment of occultation. This offset is confirmed by another Titania stellar occultation observed on August 1st, 2003, which provides an offset of ΔαTcos(δT)=−127±20 mas and ΔδT=−97±13 mas for the satellite. The combined ingress and egress data do not show any significant hint for atmospheric refraction, allowing us to set surface pressure limits at the level of 10–20 nbar. More specifically, we find an upper limit of 13 nbar (1-σ level) at 70 K and 17 nbar at 80 K, for a putative isothermal CO2 atmosphere. We also provide an upper limit of 8 nbar for a possible CH4 atmosphere, and 22 nbar for pure N2, again at the 1-σ level. We finally constrain the stellar size using the time-resolved star disappearance and reappearance at ingress and egress. We find an angular diameter of 0.54±0.03 mas (corresponding to View the MathML source projected at Titania). With a distance of 170±25 parsecs, this corresponds to a radius of 9.8±0.2 solar radii for HIP 106829, typical of a K0 III giant. |
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ELSEVIER |
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0019-1035 |
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CAT @ cat @ Wid2009 |
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1052 |
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Author |
Naila Murray; Maria Vanrell; Xavier Otazu; C. Alejandro Parraga |
Title |
Saliency Estimation Using a Non-Parametric Low-Level Vision Model |
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Conference Article |
Year |
2011 |
Publication |
IEEE conference on Computer Vision and Pattern Recognition |
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Pages |
433-440 |
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 |
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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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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CIC |
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no |
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Admin @ si @ MVO2011 |
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1757 |
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Author |
Francesc Tous; Agnes Borras; Robert Benavente; Ramon Baldrich; Maria Vanrell; Josep Llados |
Title |
Textual Descriptions for Browsing People by Visual Apperance. |
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Book Chapter |
Year |
2002 |
Publication |
Lecture Notes in Artificial Intelligence |
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2504 |
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419-429 |
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This paper presents a first approach to build colour and structural descriptors for information retrieval on a people database. Queries are formulated in terms of their appearance that allows to seek people wearing specific clothes of a given colour name or texture. Descriptors are automatically computed by following three essential steps. A colour naming labelling from pixel properties. A region seg- mentation step based on colour properties of pixels combined with edge information. And a high level step that models the region arrangements in order to build clothes structure. Results are tested on large set of images from real scenes taken at the entrance desk of a building |
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Springer Verlag |
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DAG;CIC |
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no |
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CAT @ cat @ TBB2002b |
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319 |
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Author |
Eduard Vazquez; Ramon Baldrich |
Title |
Colour Image Segmentation in Presence of Shadows |
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Conference Article |
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2008 |
Publication |
4th European Conference on Colour in Graphics, Imaging and Vision Proceedings |
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383–387 |
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Terrassa (Spain) |
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CGIV08 |
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CAT;CIC |
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no |
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CAT @ cat @ VaB2008 |
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966 |
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Author |
Javier Vazquez; Maria Vanrell; Ramon Baldrich |
Title |
Towards a Psychophysical Evaluation of Colour Constancy Algorithms |
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Conference Article |
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2008 |
Publication |
4th European Conference on Colour in Graphics, Imaging and Vision Proceedings |
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372–377 |
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Terrassa (Spain) |
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Conference |
CGIV08 |
Notes |
CAT;CIC |
Approved |
no |
Call Number |
CAT @ cat @ VVB2008a |
Serial |
968 |
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Author |
David Geronimo; Joan Serrat; Antonio Lopez; Ramon Baldrich |
Title |
Traffic sign recognition for computer vision project-based learning |
Type |
Journal Article |
Year |
2013 |
Publication |
IEEE Transactions on Education |
Abbreviated Journal |
T-EDUC |
Volume |
56 |
Issue |
3 |
Pages |
364-371 |
Keywords |
traffic signs |
Abstract |
This paper presents a graduate course project on computer vision. The aim of the project is to detect and recognize traffic signs in video sequences recorded by an on-board vehicle camera. This is a demanding problem, given that traffic sign recognition is one of the most challenging problems for driving assistance systems. Equally, it is motivating for the students given that it is a real-life problem. Furthermore, it gives them the opportunity to appreciate the difficulty of real-world vision problems and to assess the extent to which this problem can be solved by modern computer vision and pattern classification techniques taught in the classroom. The learning objectives of the course are introduced, as are the constraints imposed on its design, such as the diversity of students' background and the amount of time they and their instructors dedicate to the course. The paper also describes the course contents, schedule, and how the project-based learning approach is applied. The outcomes of the course are discussed, including both the students' marks and their personal feedback. |
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0018-9359 |
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ADAS; CIC |
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no |
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Admin @ si @ GSL2013; ADAS @ adas @ |
Serial |
2160 |
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Author |
Susana Alvarez; Anna Salvatella; Maria Vanrell; Xavier Otazu |
Title |
3D Texton Spaces for color-texture retrieval |
Type |
Conference Article |
Year |
2010 |
Publication |
7th International Conference on Image Analysis and Recognition |
Abbreviated Journal |
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Volume |
6111 |
Issue |
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Pages |
354–363 |
Keywords |
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Abstract |
Color and texture are visual cues of different nature, their integration in an useful visual descriptor is not an easy problem. One way to combine both features is to compute spatial texture descriptors independently on each color channel. Another way is to do the integration at the descriptor level. In this case the problem of normalizing both cues arises. In this paper we solve the latest problem by fusing color and texture through distances in texton spaces. Textons are the attributes of image blobs and they are responsible for texture discrimination as defined in Julesz’s Texton theory. We describe them in two low-dimensional and uniform spaces, namely, shape and color. The dissimilarity between color texture images is computed by combining the distances in these two spaces. Following this approach, we propose our TCD descriptor which outperforms current state of art methods in the two different approaches mentioned above, early combination with LBP and late combination with MPEG-7. This is done on an image retrieval experiment over a highly diverse texture dataset from Corel. |
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Springer Berlin Heidelberg |
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Editor |
A.C. Campilho and M.S. Kamel |
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LNCS |
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ISSN |
0302-9743 |
ISBN |
978-3-642-13771-6 |
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ICIAR |
Notes |
CIC |
Approved |
no |
Call Number |
CAT @ cat @ ASV2010a |
Serial |
1325 |
Permanent link to this record |