A model for colour naming and comparing based on conceptual neighbourhood. An application for comparing art compositions
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comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
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Title
A model for colour naming and comparing based on conceptual neighbourhood. An application for comparing art compositionsDate
2015Publisher
ElsevierISSN
0950-7051; 1872-7409Bibliographic citation
FALOMIR, Zoe; MUSEROS, Lledó; GONZALEZ-ABRIL, Luis. A model for colour naming and comparing based on conceptual neighbourhood. an application for comparing art compositions. Knowledge-Based Systems, 2015, vol. 81, p. 1-21.Type
info:eu-repo/semantics/articlePublisher version
http://www.sciencedirect.com/science/article/pii/S0950705114004511Subject
Abstract
A computational model for Qualitative Colour Description, named the QCD model, is defined using the Hue, Saturation and Luminance colour space. This model can name rainbow colours, pale, light and dark colours, and ... [+]
A computational model for Qualitative Colour Description, named the QCD model, is defined using the Hue, Saturation and Luminance colour space. This model can name rainbow colours, pale, light and dark colours, and colours in the grey scale, and it has been parameterised by participants of a study in two universities in Spain: University Jaume I and University of Sevilla. The relational structure of the QCD model is analysed by means of a conceptual neighbourhood diagram and it is used to formulate a measure of similarity for solving absolute and relative comparisons of qualitative colours. Moreover, a similarity measure between colour compositions, called SimQCDI, is also developed. A survey test on several art compositions is carried out and the results obtained by the participants are analysed and compared to the computational results provided by the SimQCDI. Also, a comparison to the standard RGB Colour Histogram similarity method is carried out, which shows that the proposed similarity is more intuitive and that the results obtained are similar with respect to quantification. Finally, the cognitive adequacy of the QCD model is also analysed. [-]
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Knowledge-Based Systems, 2015, vol. 81Rights
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