Data mining tasks and methods: Classification: decision-tree discovery
Handbook of data mining and knowledge discovery
Image Emotional Classification Based on Color Semantic Description
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
The Optimization and Improvement of the Apriori Algorithm
IITAW '08 Proceedings of the 2008 International Symposium on Intelligent Information Technology Application Workshops
Collective indexing of emotions in images. A study in emotional information retrieval
Journal of the American Society for Information Science and Technology
Content-Based affective image classification and retrieval using support vector machines
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Image query by impression words-the IQI system
IEEE Transactions on Consumer Electronics
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Relationships between colors and emotions have been studied for a long time in several domains, such as psychology and artistic theories. In this paper, we extract such relations appearing in social tagging systems, in which users can freely choose the images they upload and annotate, as well as the annotation tags. We first study two color representations that can be used to encode the chromatic contents of such images and select the most appropriate one for discovering coloremotion relationships, based on their performance for a classification task. We then extract, from this image corpus and based on the selected encoding, association rules characterizing relations between colors and emotions. We use the Apriori algorithm with a particular focus on the implications of color presence and absence on the emotion presences, commenting and discussing the obtained results.