Paper Info
Title
Extracting Feeling and Life-Style Semantics from Hotel Images Using Colour Harmony.
Abstract
An application of a cognitively inspired qualitative colour theory, QCharm, which is able to construct harmonic colour palettes based on a model for qualitative colour description (QCD) is presented in this paper. Using Kobayashi's colour space, cognitive keywords representing a feeling or a lifestyle can be assigned to QCharm harmonic-colour palettes. Moreover, using COLOURlovers dataset for learning, the QCharm colour palettes can be rated representing users' preferences. In this paper, QCharm is applied to hotel images (extracted from ImageNet(1) image database) as a basis to create a recommender system of hotel marketing materials. The future recommender system is intended to be used to rise the impact of the marketing materials among prospective tourists and then improve the touristic image of the hotel. Furthermore, by adding other cognitive aspects (as a style of life for instance) the system can be used to design customized materials for different types of clients.
Year
DOI
Venue
2019
10.3233/FAIA190145
Frontiers in Artificial Intelligence and Applications
Keywords
Field
DocType
cognitive image,colour names,sentiment analysis,touristic image,tourism marketing,recommender system,data science,preferences,machine learning
Aesthetics,Psychology,Life style,Feeling,Harmony (color),Semantics
Conference
Volume
ISSN
Citations 
319
0922-6389
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Lledó Museros Cabedo100.68
Ismael Sanz210219.17
Zoe Falomir311924.98
Mónica P. Buenaño400.34
Luis González Abril501.01