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Emotion Recognition Using Color and Pattern in Textile Images  

Shin, Yun-Hee (Department of advanced technology fusion, Konkuk University)
Kim, Young-Rae (Department of advanced technology fusion, Konkuk University)
Kim, Eun-Yi (Department of Internet and Multimedia Eng. Konkuk University)
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Abstract
In this paper, a novel method is proposed using color and pattern information for recognizing some emotions included in a fertile. Here we use 10 Kobayashi emotion to represent emotions. - { romantic, clear, natural, casual, elegant chic, dynamic, classic, dandy, modem } The proposed system is composed of feature extraction and classification. To transform the subjective emotions as physical visual features, we extract representative colors and Patterns from textile. Here, the representative color prototypes are extracted by color quantization method, and patterns exacted by wavelet transform followed by statistical analysis. These exacted features are given as input to the neural network (NN)-based classifiers, which decides whether or not a textile had the corresponding emotion. When assessing the effectiveness of the proposed system with 389 textiles collected from various application domains such as interior, fashion, and artificial ones. The results showed that the proposed method has the precision of 100% and the recall of 99%, thereby it can be used in various textile industries.
Keywords
감성인식;텍스타일 인덱싱;웨이블릿 변환;컬러 양자화;신경망;
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Times Cited By KSCI : 2  (Citation Analysis)
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