Creating, Interpreting and Rating Harmonic Colour Palettes Using a Cognitively Inspired Model
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Altres documents de l'autoria: Museros, Lledó; Sanz, Ismael; Falomir, Zoe; Gonzalez Abril, Luis
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Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
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https://doi.org/10.1007/s12559-018-9589-2 |
Metadades
Títol
Creating, Interpreting and Rating Harmonic Colour Palettes Using a Cognitively Inspired ModelData de publicació
2018Editor
SpringerISSN
1866-9956; 1866-9964Cita bibliogràfica
MUSEROS, Lledó, et al. Creating, Interpreting and Rating Harmonic Colour Palettes Using a Cognitively Inspired Model. Cognitive Computation, 2018, p. 1-18Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://link.springer.com/article/10.1007/s12559-018-9589-2Versió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
his paper presents a cognitively inspired qualitative theory, QCharm, which defines five operators for colour combination based on the qualitative colour descriptor (QCD) and applies these operators to recommend ... [+]
his paper presents a cognitively inspired qualitative theory, QCharm, which defines five operators for colour combination based on the qualitative colour descriptor (QCD) and applies these operators to recommend palettes of harmonic colours. Machine learning techniques have been applied to learn the QCD colour coordinates in Kobayashi’s colour space, in order to assign the resulting QCharm harmonic-colour palettes to cognitive keywords representing a feeling or a lifestyle. Furthermore, a regression model has been implemented to learn users’ preferences based on the COLOURlovers dataset. The resulting model is used as an additional criterion for recommendation. The resulting cognitive system can recommend (i) colour palettes using keywords on feelings/lifestyle, and (ii) colour palettes using the learnt user’s preference model. As an example of the practical applicability of the model, a web application, the QCharm tool, has been implemented to provide recommendations to users in an interactive way. The QCharm tool can also extract colour palettes from digital images and assign a cognitive adjective to describe colour combinations, to serve as a starting point for the design process. © 2018, Springer Science+Business Media, LLC, part of Springer Nature. [-]
Publicat a
Cognitive Computation, 2018Drets d'accés
© Springer Science+Business Media, LLC, part of Springer Nature 2018
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/restrictedAccess
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/restrictedAccess
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