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Author | Ramon Baldrich; Ricardo Toledo; Ernest Valveny; Maria Vanrell |
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Title | Perceptual Colour Image Segmentation. | Type | Miscellaneous | |||
Year | 2002 | Publication | Proceeding of the Second IASTED International Conference Visualization, Imaging and Image Proceesing VIIP 2002: 145–150. | Abbreviated Journal | ||
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Notes | DAG;CIC;ADAS | Approved | no | |||
Call Number | CAT @ cat @ BTV2002 | Serial | 290 | |||
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Author | Susana Alvarez; Anna Salvatella; Maria Vanrell; Xavier Otazu |
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Title | Perceptual color texture codebooks for retrieving in highly diverse texture datasets | Type | Conference Article | |||
Year | 2010 | Publication | 20th International Conference on Pattern Recognition | Abbreviated Journal | ||
Volume | Issue | Pages | 866–869 | |||
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Abstract | Color and texture are visual cues of different nature, their integration in a useful visual descriptor is not an obvious step. One way to combine both features is to compute texture descriptors independently on each color channel. A second way is integrate the features at a descriptor level, in this case arises the problem of normalizing both cues. A significant progress in the last years in object recognition has provided the bag-of-words framework that again deals with the problem of feature combination through the definition of vocabularies of visual words. Inspired in this framework, here we present perceptual textons that will allow to fuse color and texture at the level of p-blobs, which is our feature detection step. Feature representation is based on two uniform spaces representing the attributes of the p-blobs. The low-dimensionality of these text on spaces will allow to bypass the usual problems of previous approaches. Firstly, no need for normalization between cues; and secondly, vocabularies are directly obtained from the perceptual properties of text on spaces without any learning step. Our proposal improve current state-of-art of color-texture descriptors in an image retrieval experiment over a highly diverse texture dataset from Corel. | |||||
Address | Istanbul (Turkey) | |||||
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ISSN | 1051-4651 | ISBN | 978-1-4244-7542-1 | Medium | ||
Area | Expedition | Conference | ICPR | |||
Notes | CIC | Approved | no | |||
Call Number | CAT @ cat @ ASV2010b | Serial | 1426 | |||
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Author | Maria Vanrell; Naila Murray; Robert Benavente; C. Alejandro Parraga; Xavier Otazu; Ramon Baldrich |
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Title | Perception Based Representations for Computational Colour | Type | Conference Article | |||
Year | 2011 | Publication | 3rd International Workshop on Computational Color Imaging | Abbreviated Journal | ||
Volume | 6626 | Issue | Pages | 16-30 | ||
Keywords | colour perception, induction, naming, psychophysical data, saliency, segmentation | |||||
Abstract | The perceived colour of a stimulus is dependent on multiple factors stemming out either from the context of the stimulus or idiosyncrasies of the observer. The complexity involved in combining these multiple effects is the main reason for the gap between classical calibrated colour spaces from colour science and colour representations used in computer vision, where colour is just one more visual cue immersed in a digital image where surfaces, shadows and illuminants interact seemingly out of control. With the aim to advance a few steps towards bridging this gap we present some results on computational representations of colour for computer vision. They have been developed by introducing perceptual considerations derived from the interaction of the colour of a point with its context. We show some techniques to represent the colour of a point influenced by assimilation and contrast effects due to the image surround and we show some results on how colour saliency can be derived in real images. We outline a model for automatic assignment of colour names to image points directly trained on psychophysical data. We show how colour segments can be perceptually grouped in the image by imposing shading coherence in the colour space. | |||||
Address | Milan, Italy | |||||
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Publisher | Springer-Verlag | Place of Publication | Editor | Raimondo Schettini, Shoji Tominaga, Alain Trémeau | ||
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Series Editor | Series Title | Abbreviated Series Title | LNCS | |||
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ISSN | ISBN | 978-3-642-20403-6 | Medium | |||
Area | Expedition | Conference | CCIW | |||
Notes | CIC | Approved | no | |||
Call Number | Admin @ si @ VMB2011 | Serial | 1733 | |||
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Author | Robert Benavente; Maria Vanrell |
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Title | Parametrizacion del Espacio de Categorias de Color | Type | Miscellaneous | |||
Year | 2007 | Publication | Proceedings del VIII Congreso Nacional del Color | Abbreviated Journal | ||
Volume | Issue | Pages | 77–78 | |||
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Address | Madrid (Spain) | |||||
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Area | Expedition | Conference | CNC’07 | |||
Notes | CAT;CIC | Approved | no | |||
Call Number | CAT @ cat @ BeV2007 | Serial | 905 | |||
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Author | Robert Benavente; Maria Vanrell; Ramon Baldrich |
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Title | Parametric Fuzzy Sets for Automatic Color Naming | Type | Journal | |||
Year | 2008 | Publication | Journal of the Optical Society of America A | Abbreviated Journal | ||
Volume | 25 | Issue | 10 | Pages | 2582–2593 | |
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Notes | CIC | Approved | no | |||
Call Number | CAT @ cat @ BVB2008 | Serial | 1004 | |||
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Author | Javier Vazquez; C. Alejandro Parraga; Maria Vanrell |
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Title | Ordinal pairwise method for natural images comparison | Type | Journal Article | |||
Year | 2009 | Publication | Perception | Abbreviated Journal | PER | |
Volume | 38 | Issue | Pages | 180 | ||
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Abstract | 38(Suppl.)ECVP Abstract Supplement
We developed a new psychophysical method to compare different colour appearance models when applied to natural scenes. The method was as follows: two images (processed by different algorithms) were displayed on a CRT monitor and observers were asked to select the most natural of them. The original images were gathered by means of a calibrated trichromatic digital camera and presented one on top of the other on a calibrated screen. The selection was made by pressing on a 6-button IR box, which allowed observers to consider not only the most natural but to rate their selection. The rating system allowed observers to register how much more natural was their chosen image (eg, much more, definitely more, slightly more), which gave us valuable extra information on the selection process. The results were analysed considering both the selection as a binary choice (using Thurstone's law of comparative judgement) and using Bradley-Terry method for ordinal comparison. Our results show a significant difference in the rating scales obtained. Although this method has been used in colour constancy algorithm comparisons, its uses are much wider, eg to compare algorithms of image compression, rendering, recolouring, etc. |
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Notes | CIC | Approved | no | |||
Call Number | CAT @ cat @ VPV2009b | Serial | 1191 | |||
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Author | Maria Vanrell; Jordi Vitria |
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Title | Optimal 3x3 decomposable disks for morphological transformations | Type | Journal Article | |||
Year | 1997 | Publication | Image and Vision Computing | Abbreviated Journal | ||
Volume | 15 | Issue | 11 | Pages | 845-854 | |
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Notes | OR;CIC;MV | Approved | no | |||
Call Number | BCNPCL @ bcnpcl @ VaV1997c | Serial | 543 | |||
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Author | Robert Benavente; Gemma Sanchez; Ramon Baldrich; Maria Vanrell; Josep Llados |
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Title | Normalized colour segmentation for human appearance description. | Type | Conference Article | |||
Year | 2000 | Publication | 15 th International Conference on Pattern Recognition | Abbreviated Journal | ||
Volume | 3 | Issue | Pages | 637-641 | ||
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Address | Barcelona. | |||||
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Area | Expedition | Conference | ICPR | |||
Notes | DAG;CIC | Approved | no | |||
Call Number | CAT @ cat @ BSB2000 | Serial | 223 | |||
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Author | Olivier Penacchio; C. Alejandro Parraga; Maria Vanrell |
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Title | Natural Scene Statistics account for Human Cones Ratios | Type | Journal Article | |||
Year | 2010 | Publication | Perception. ECVP Abstract Supplement | Abbreviated Journal | PER | |
Volume | 39 | Issue | Pages | 101 | ||
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Abstract | In two previous experiments [Parraga et al, 2009 J. of Im. Sci. and Tech 53(3) 031106; Benavente et al,2009 Perception 38 ECVP Supplement, 36] the boundaries of basic colour categories were measured.
In the first experiment, samples were presented in isolation (ie on a dark background) and boundaries were measured using a yes/no paradigm. In the second, subjects adjusted the chromaticity of a sample presented on a random Mondrian background to find the boundary between pairs of adjacent colours. Results from these experiments showed significant dierences but it was not possible to conclude whether this discrepancy was due to the absence/presence of a colourful background or to the dierences in the paradigms used. In this work, we settle this question by repeating the first experiment (ie samples presented on a dark background) using the second paradigm. A comparison of results shows that although boundary locations are very similar, boundaries measured in context are significantly dierent(more diuse) than those measured in isolation (confirmed by a Student’s t-test analysis on the subject’s answers statistical distributions). In addition, we completed the mapping of colour name space by measuring the boundaries between chromatic colours and the achromatic centre. With these results we completed our parametric fuzzy-sets model of colour naming space. |
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Notes | CIC | Approved | no | |||
Call Number | CAT @ cat @ PPV2010 | Serial | 1357 | |||
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Author | Javier Vazquez; Robert Benavente; Maria Vanrell |
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Title | Naming constraints constancy | Type | Conference Article | |||
Year | 2012 | Publication | 2nd Joint AVA / BMVA Meeting on Biological and Machine Vision | Abbreviated Journal | ||
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Abstract | Different studies have shown that languages from industrialized cultures
share a set of 11 basic colour terms: red, green, blue, yellow, pink, purple, brown, orange, black, white, and grey (Berlin & Kay, 1969, Basic Color Terms, University of California Press)( Kay & Regier, 2003, PNAS, 100, 9085-9089). Some of these studies have also reported the best representatives or focal values of each colour (Boynton and Olson, 1990, Vision Res. 30,1311–1317), (Sturges and Whitfield, 1995, CRA, 20:6, 364–376). Some further studies have provided us with fuzzy datasets for color naming by asking human observers to rate colours in terms of membership values (Benavente -et al-, 2006, CRA. 31:1, 48–56,). Recently, a computational model based on these human ratings has been developed (Benavente -et al-, 2008, JOSA-A, 25:10, 2582-2593). This computational model follows a fuzzy approach to assign a colour name to a particular RGB value. For example, a pixel with a value (255,0,0) will be named 'red' with membership 1, while a cyan pixel with a RGB value of (0, 200, 200) will be considered to be 0.5 green and 0.5 blue. In this work, we show how this colour naming paradigm can be applied to different computer vision tasks. In particular, we report results in colour constancy (Vazquez-Corral -et al-, 2012, IEEE TIP, in press) showing that the classical constraints on either illumination or surface reflectance can be substituted by the statistical properties encoded in the colour names. [Supported by projects TIN2010-21771-C02-1, CSD2007-00018]. |
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Area | Expedition | Conference | AV A | |||
Notes | CIC | Approved | no | |||
Call Number | Admin @ si @ VBV2012 | Serial | 2131 | |||
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Author | Marc Serra; Olivier Penacchio; Robert Benavente; Maria Vanrell |
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Title | Names and Shades of Color for Intrinsic Image Estimation | Type | Conference Article | |||
Year | 2012 | Publication | 25th IEEE Conference on Computer Vision and Pattern Recognition | Abbreviated Journal | ||
Volume | Issue | Pages | 278-285 | |||
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Abstract | In the last years, intrinsic image decomposition has gained attention. Most of the state-of-the-art methods are based on the assumption that reflectance changes come along with strong image edges. Recently, user intervention in the recovery problem has proved to be a remarkable source of improvement. In this paper, we propose a novel approach that aims to overcome the shortcomings of pure edge-based methods by introducing strong surface descriptors, such as the color-name descriptor which introduces high-level considerations resembling top-down intervention. We also use a second surface descriptor, termed color-shade, which allows us to include physical considerations derived from the image formation model capturing gradual color surface variations. Both color cues are combined by means of a Markov Random Field. The method is quantitatively tested on the MIT ground truth dataset using different error metrics, achieving state-of-the-art performance. | |||||
Address | Providence, Rhode Island | |||||
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Publisher | IEEE Xplore | Place of Publication | Editor | |||
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ISSN | 1063-6919 | ISBN | 978-1-4673-1226-4 | Medium | ||
Area | Expedition | Conference | CVPR | |||
Notes | CIC | Approved | no | |||
Call Number | Admin @ si @ SPB2012 | Serial | 2026 | |||
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Author | Eduard Vazquez; Francesc Tous; Ramon Baldrich; Maria Vanrell |
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Title | n-Dimensional Distribution Reduction Preserving its Structure | Type | Book Chapter | |||
Year | 2006 | Publication | Artificial Intelligence Research and Development, M. Polit et al. (Eds.), 146: 167–175 | Abbreviated Journal | ||
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Address | IOS Press | |||||
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Notes | CIC | Approved | no | |||
Call Number | CAT @ cat @ VTB2006a | Serial | 681 | |||
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Author | Xavier Otazu; Maria Vanrell; C. Alejandro Parraga |
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Title | Mutiresolution Wavelet Framework Reproduces Induction Effects | Type | Journal | |||
Year | 2007 | Publication | Perception 36:167–167, supp | Abbreviated Journal | ||
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Notes | CIC | Approved | no | |||
Call Number | CAT @ cat @ OVP2007 | Serial | 842 | |||
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Author | Xavier Otazu; Maria Vanrell; C. Alejandro Parraga |
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Title | Multiresolution Wavelet Framework Models Brightness Induction Effects | Type | Journal | |||
Year | 2008 | Publication | Vision Research | Abbreviated Journal | VR | |
Volume | 48 | Issue | 5 | Pages | 733–751 | |
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Notes | CIC | Approved | no | |||
Call Number | CAT @ cat @ OVP2008a | Serial | 927 | |||
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