Kansei-Oriented Image Retrieval
AMT '01 Proceedings of the 6th International Computer Science Conference on Active Media Technology
An image based design support system for web page design
International Journal of Knowledge-based and Intelligent Engineering Systems
Similarity-based image retrieval considering artifacts by self-organizing map with refractoriness
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Identification of artifacts in scenery images using color and line information by RBF network
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Affective image classification using features inspired by psychology and art theory
Proceedings of the international conference on Multimedia
Using association rules to discover color-emotion relationships based on social tagging
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Towards multi-semantic image annotation with graph regularized exclusive group lasso
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Emotion semantics image retrieval: an brief overview
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
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A new image query system by impression words named the IQI system has been proposed. The proposed IQI system has been implemented on a Sun SS-5 workstation. Since human sensitivity and various images are flexibly connected using a neural network in the IQI system, it can automatically estimate impression words from various kinds of images. As a result, the IQI system can reflect a human's kansei (impression and sensitivity) effectively and treat a wider variety of images. We show some experimental results. The IQI system can estimate correct impression words and successfully retrieve correct images