Eun-Jong Park

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In this paper, we propose the effective image retrieval method based on the userpsilas emotion. Existing Emotion/Contents-based image retrieval which used a single query image reflects the userpsilas retrieval intention by methods of moving the query points or updating the weights and so on. However, these methods have the limitation of retrieval by the(More)
We propose a hybrid genetic algorithm for the xed channel assignment problem with limited bandwidth. A local optimization algorithm was devised to enhance the genetic algorithm's ne-tunning. In a matrix representation, the local optimization algorithm improves on a chromosome by horizontal and vertical moves of channels. The crossover is directly performed(More)
If the emotion that a man or woman feels seeing color patterns in average sense can be extracted as rules, the result is useful to make an emotion-based color image retrieval system. This paper shows that the rough set theory provides a convenient tool for the purpose. We collect the emotion data when people see a set of predesigned random color patterns(More)
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