Image retrieval by color semantics
Multimedia Systems - Special issue on video content based retrieval
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bridging the semanitic gap in image retrieval
Distributed multimedia databases
Information Retrieval on the World Wide Web
IEEE Internet Computing
Image Retrieval from the World Wide Web: Issues, Techniques, and Systems
ACM Computing Surveys (CSUR)
Proceedings of the 2009 conference on Information Modelling and Knowledge Bases XX
CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
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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It is becoming important to realize a cross-cultural communication environment among societies with different cultures. Images are effective media for exchanging cultural characteristics across cultures. This paper presents a culture-dependent color-emotion model for cross-culture oriented image retrieval system that realizes color-emotion spaces to search images with human emotion aspects. Many image retrieval systems have been featured by color analysis, but culture-dependent aspects of images are not considered intensively. Our system creates color impression spaces based on Ekman's 17 basic emotions. For the first step, the culture-dependent color impression space is created by using cultural-features. We apply automatic clustering using our previous method “Valley Tracing” in order to generate dynamic representative colors. This system automatically creates a set of culture-dependent color impression metadata.