• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.8
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• pp.849-859
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• 2012

This study contributes to the development of a creative fashion design and provides concrete data regarding the process of creative ideas through an analysis of the characteristics of the fashion design idea and the characteristics of fashion design from a formative perspective according to Osborn's checklist method. The data collection involved 466 pages that focused on the work of 30 designers (2005 S/S-2009 F/W) extracted from the websites style.com and ifb.co.kr. In the cases of pictures collected, a content analysis was applied based on statistical analysis and design analysis criteria. First, as a result of the examination of the characteristics of ideas for fashion design based on the checklist, it turned out that elimination method is most frequently employed, followed by addition, conversion, limit and combination. In addition, every idea showed a significant difference in terms of the applied item, expression method, and balance. Second, due to the study of the formative characteristics of fashion design (based on the checklist), it turned out that square-shaped silhouette, achromatic and chromatic colors, combined tones, identical color combination, complex texture, and identical texture combination are frequently used. In addition, every idea showed a significant difference in terms of form, color, and fabric. We believe that the use of the checklist is useful for the development of a creative design because formative characteristics vary based on the characteristic of ideas of fashion design.

• The Research Journal of the Costume Culture
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• v.23 no.6
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• pp.955-971
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• 2015

The purpose of this study is to consider the design characteristics of Chinese traditional clothing, especially from the Ming-Qing Dynasty era, and how they have influenced contemporary fashion. Regarding research methods, this study determined the design characteristics, such as the form, color and pattern of Chinese traditional clothing of the Ming-Qing Dynasty era. In addition, 440 photos were collected from the Paris Collection from 2005 to 2014 using www.firstviewkorea.com. The results of this study are as follows. First, the most popular silhouette from Chinese traditional clothing appearing in contemporary fashion was the H-shaped one, and the internal lines appeared in the following order: Chinese collar; narrow sleeve; symmetrical front opening; round collar; wide sleeve; and the C-shaped Biwa front-end. Second, the most popular color was achromatic black, followed by white. The chromatic colors were in the order of blue, yellow, red, green, and purple. Third, the patterns appeared in the following order: Plant patterns, complex patterns, and animal patterns. The peony pattern appeared the most commonly as a plant pattern, followed by the arabesque pattern and the plum blossom pattern which appeared with a similar proportion. Dragon, bird and phoenix patterns appeared the most for animal patterns. It is considered that the results of this study will be helpful for designing products for Korean fashion brands that will advance to the Chinese market. In addition, it will help Chinese designers apply the Chinese-style design characteristics popular among people throughout the world when they advance to the West.

• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.102-110
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• 2019

Among the visual sensibility studies, many studies of color or movement have been done, but not much have been done about whether it can evoke sensibility in static form itself. Therefore, in this study, visual attention by AOIs(Area of Interests) combined with color based on three basic forms was analyzed using eye tracking, and the results were visually expressed through Heat Map and Gaze Plot. In addition, A Paired t-test was performed on the mean difference between the two groups to verify the statistical significance of each color and form. As a result of the experiment, the chromatic color form was more visual attention than the achromatic color form and warm color form was higher mean than cool color, so the visual attention was greater. In this study, it is meaningful to suggest a quantitative method which is easy to interpret objectively the design element that is easily interpreted subjectively. Based on the results of this study, if more further studies and quantitative analysis methods are presented that can identify differences in visual attention from various colors and forms, it can be used to provide guidelines for basic design.

• Science of Emotion and Sensibility
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• v.16 no.3
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• pp.351-362
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• 2013

This study aims to investigate the characteristics of Chinese consumers, who are growing up as the global biggest consumption market, according to G sensibility types, and to provide the data base for China market by analyzing the consuming pattern per sensibility and the preferred color. For the investigation, the survey on G sensibility and consuming pattern was conducted for consumers in four cities of China. As a result of classification of G sensibility types, it was found that Chinese consumers tended to behave in accordance with their values and identities and the most general type in them was G1 pursuing the reasonable and logical consumption, unlike Korean consumers who tended to be shown as G3 for the most general type according to the preceding study. As to characteristic of consumption, Chinese consumers preferred to purchase clothes from the department store, and in case of G2 type, the characteristics was corresponded with Actionist's character which shows the wide range of behavior and high-consumption, by preferring the road-shop next to the department store. Chinese consumers tended to purchase the clothes on the basis of their preferred colors, and especially it was shown that achromatic color was very commonly preferred. Also the black color was on the highest preference, and white, dark gray and light gray were followed. Meanwhile, in chromatic color, it was found that brown, orange, red and blue were preferred in order, and in case of G4, it was found that they preferred more various colors compared to the other types. This result could be used as the data base for the marketing strategy of fashion design industry and the related companies, as well as the new communication method for the consumers.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.1
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• pp.1-12
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• 2008

In this paper, we present a real-time algorithm for recognizing the vehicle color from the indoor and outdoor vehicle images based on GPU (Graphics Processing Unit) acceleration. In the preprocessing step, we construct feature victors from the sample vehicle images with different colors. Then, we combine the feature vectors for each color and store them as a reference texture that would be used in the GPU. Given an input vehicle image, the CPU constructs its feature Hector, and then the GPU compares it with the sample feature vectors in the reference texture. The similarities between the input feature vector and the sample feature vectors for each color are measured, and then the result is transferred to the CPU to recognize the vehicle color. The output colors are categorized into seven colors that include three achromatic colors: black, silver, and white and four chromatic colors: red, yellow, blue, and green. We construct feature vectors by using the histograms which consist of hue-saturation pairs and hue-intensity pairs. The weight factor is given to the saturation values. Our algorithm shows 94.67% of successful color recognition rate, by using a large number of sample images captured in various environments, by generating feature vectors that distinguish different colors, and by utilizing an appropriate likelihood function. We also accelerate the speed of color recognition by utilizing the parallel computation functionality in the GPU. In the experiments, we constructed a reference texture from 7,168 sample images, where 1,024 images were used for each color. The average time for generating a feature vector is 0.509ms for the $150{\times}113$ resolution image. After the feature vector is constructed, the execution time for GPU-based color recognition is 2.316ms in average, and this is 5.47 times faster than the case when the algorithm is executed in the CPU. Our experiments were limited to the vehicle images only, but our algorithm can be extended to the input images of the general objects.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.182-190
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• 2012

Based on the study, the issues and trends in the current functional sandal designs on the same product line will be examined for the future developments for the functional sandals and the results were obtained as follows. First, the sandals must have a high front heel with wide floors that meet the ground. Second, the preference for the chromatic colour is stronger than the achromatic colors. Third, the sandals must be designed in curves in terms of the height and shape of the heels and design must consider the shoe's balance. Fourth, the product must appear big to provide a sense of stability. However, the sandals must not be designed too big to make them look crude or cause inconvenience while exercising. Fifth, the sandals must not be designed in too complex ways. This study has investigated and analyzed the external design of functional sandals and the user reviews on the actual sandals were not done. Through more detailed studies, the diversity in the design of functional sandals must be south and Korea's competitive edge in the industry and design must be secured for the future.