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Author Xavier Otazu; Maria Vanrell edit  openurl
Title A surround-induction function to unify assimilation and contrast in a computational model of color apearance Type Miscellaneous
Year 2005 Publication Perception supplement, ECVP05 Abstracts, 34: 215 Abbreviated Journal  
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Call Number CAT @ cat @ OtV2005a Serial 568  
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Author Susana Alvarez; Xavier Otazu; Maria Vanrell edit  openurl
Title Image Segmentation Based on Inter-Feature Distance Maps Type Book Chapter
Year 2005 Publication Frontiers in Artificial Intelligence and Applications, IOS Press, 131: 75–82 Abbreviated Journal  
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Notes CIC Approved no  
Call Number CAT @ cat @ AOV2005 Serial 569  
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Author Robert Benavente; Maria Vanrell; Ramon Baldrich edit  url
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Title A data set for fuzzy colour naming Type Journal
Year 2006 Publication Color Research & Application, 31(1):48–56 Abbreviated Journal  
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Notes CIC Approved no  
Call Number CAT @ cat @ BVB2006 Serial 590  
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Author Xavier Otazu; Maria Vanrell edit  openurl
Title Several lightness induction effects with a computational multiresolution wavelet framework Type Journal
Year 2006 Publication 29th European Conference on Visual Perception (ECVP’06), Perception Suppl s, 32: 56–56 Abbreviated Journal  
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Address Saint-Petersburg (Russia)  
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Call Number CAT @ cat @ OtV2006 Serial 659  
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Author Eduard Vazquez; Francesc Tous; Ramon Baldrich; Maria Vanrell edit  openurl
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 Eduard Vazquez; Ramon Baldrich; Javier Vazquez; Maria Vanrell edit  openurl
Title Topological histogram reduction towards colour segmentation Type Book Chapter
Year 2007 Publication 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4477:55–62 Abbreviated Journal  
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Address Gerona (Spain)  
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Notes CIC Approved no  
Call Number CAT @ cat @ VBV2007 Serial 809  
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Author Javier Vazquez; Maria Vanrell; Anna Salvatella; Eduard Vazquez edit  openurl
Title A colour space based on the image content Type Book Chapter
Year 2007 Publication Artificial Intelligence Research and Development, C. Angulo and L. Godo, pp 205–212 IOS Press Abbreviated Journal  
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Notes CIC Approved no  
Call Number CAT @ cat @ VVS2007 Serial 829  
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Author Xavier Otazu; Maria Vanrell; C. Alejandro Parraga edit  openurl
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 C. Alejandro Parraga; Robert Benavente; Maria Vanrell edit  openurl
Title Modeling Colour-Naming Space with Fuzzy Sets Type Journal
Year 2007 Publication Perception 36:198–198, supp Abbreviated Journal  
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Notes CIC Approved no  
Call Number CAT @ cat @ PBV2007 Serial 843  
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Author Eduard Vazquez; Maria Vanrell edit  openurl
Title Eines per al desenvolupament de competencies de enginyeria en un assignatura de Intel·ligencia Artificial Type Miscellaneous
Year 2008 Publication V Jornades d’Innovacio Docent (UAB) Abbreviated Journal  
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Address Bellaterra (Spain)  
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Call Number CAT @ cat @ VaV2008 Serial 1011  
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Author Xavier Otazu; Maria Vanrell; C. Alejandro Parraga edit  openurl
Title Colour induction effects are modelled by a low-level multiresolution wavelet framework Type Journal
Year 2008 Publication Perception 37(Suppl.): 107 Abbreviated Journal  
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Call Number CAT @ cat @ OVP2008b Serial 1055  
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Author Fahad Shahbaz Khan; Joost Van de Weijer; Andrew Bagdanov; Maria Vanrell edit   pdf
url  openurl
Title Portmanteau Vocabularies for Multi-Cue Image Representation Type Conference Article
Year 2011 Publication 25th Annual Conference on Neural Information Processing Systems Abbreviated Journal  
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Abstract We describe a novel technique for feature combination in the bag-of-words model of image classification. Our approach builds discriminative compound words from primitive cues learned independently from training images. Our main observation is that modeling joint-cue distributions independently is more statistically robust for typical classification problems than attempting to empirically estimate the dependent, joint-cue distribution directly. We use Information theoretic vocabulary compression to find discriminative combinations of cues and the resulting vocabulary of portmanteau words is compact, has the cue binding property, and supports individual weighting of cues in the final image representation. State-of-the-art results on both the Oxford Flower-102 and Caltech-UCSD Bird-200 datasets demonstrate the effectiveness of our technique compared to other, significantly more complex approaches to multi-cue image representation  
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Call Number Admin @ si @ KWB2011 Serial 1865  
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Author Javier Vazquez; Robert Benavente; Maria Vanrell edit   pdf
url  openurl
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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Call Number Admin @ si @ VBV2012 Serial 2131  
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Author Ivet Rafegas; Maria Vanrell edit  openurl
Title Colour Visual Coding in trained Deep Neural Networks Type Abstract
Year 2016 Publication European Conference on Visual Perception Abbreviated Journal  
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Address Barcelona; Spain; August 2016  
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Area Expedition Conference ECVP  
Notes CIC Approved no  
Call Number Admin @ si @ RaV2016b Serial 2895  
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