• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.11
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• pp.1458-1469
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• 2004

In this study, color names focusing on the purple series, appearing in the clothing of the Joseon Dynasty, were classified systematically, and the conceptual meaning of each name were investigated through various methods. The results are as follows; First, the color names of purple-series were classified systematically. According to the integration scheme of morphemes, color names could be divided into two categories; single names and composite names. Color names could also be classified into universal and limited names according to the areal distribution of literatures. Secondly, the conceptual meaning of the color names of purple-series were considered. The conceptual meaning could be divided into two categories; one 'etymological and dyeing methodological meaning', the other 'color systematic meaning' By studying the dictionary definition of color names, comparing and analyzing the material composition of colors, the etymological and dyeing methodological meaning could be grasped. Furthermore, the color systematic meaning of each name could be grasped through the cluster analysis of L*, a*, b* values measured from the relics of clothing. Thirdly, the conceptual semantic structure were established on the basis of conceptual meanings of purple-series color names. The conceptual semantic structure of purple-series color names is forming discrete structure with the dyeing method and material of dyes as their semantic components.

• Journal of the Korean Society of Costume
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• v.55 no.3 s.93
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• pp.1-18
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• 2005

In this study, the transition characteristics of purple series color names appearing in the clothing of the Joseon Dynasty were examined, and the associational meaning of each name were investigated through various methods. The results are as follows; First, Such characteristics as continuity, differentiation, substitution could be observed through the investigation of color names of purple-series appeared on the clothing in the Joseon Dynasty period. Secondly, the associational meaning could be subdivided into; social position symbolic meanings, usage meanings, economic meanings, and thought meanings. The social position symbolic meanings could be observed mainly in the single names which has been used since the ancient times, usage meanings could be observed in a wide variety according to the individual color names. The economic meanings could be observed by comparing the value of colored cloths and colored threads. The thought meanings were mainly related with the Confucianism. Thirdly, the associational semantic structure were established on the basis of associational meanings of purple-series color names. Individual color name on the social position symbolic semantic structure symbolizes [government official] and [servant]. Through usage semantic structure individual color names could be understood structurally according to the social position, sex distinction, wearing situation, items of clothing, and structure of clothing. Individual names on the economic semantic structure were segmented by the semantic components of the values in [high], [medium], [low] prices, kinds and quantity of dyes. The thought semantic structure could be subdivided [Confucianism] and [The Thought of Taeil] in its semantic structure.

• Fashion & Textile Research Journal
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• v.5 no.1
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• pp.43-52
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• 2003

The purpose of this study was to investigate the characteristics of traditional blue color between Korean and Japanese traditional costumes. Korea and Japan as the neighboring country of geographically and historically, but showed obvious difference in traditional color. In this study we investigated the blue color characteristics that appear on Korean and Japanese traditional costumes. We researched the characteristics of blue color on color names and color tones through the old Korean and Japanese literatures, costume remains and restoration dyeing fabrics. This study researched the Chosun Period in Korea and Edo Period in Japan. The results of this study Were as following; Many differentiation colors appeared in Chosun and Edo period than former ages. These differentiation colors were made giving differences gradually in basic color, hue, value and chroma. The blue color names appeared 40 names in Chosun Period and 57 names in Edo Period. In these blue color names of Chosun and Edo Period, the common color name was not more 'indigo'. The most highly appearanced blue color hues of costume remains in Chosun and restoration dyeing fabrics in Edo Period were blue and purplish blue. The most highly appearanced blue color tones were dull and moderate. By result of preceding descriptions, the characteristics of national color were not come from difference of dye and dyeing method, could know that come from difference of society and cultural environment.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2007.10b
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• pp.78-83
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• 2007

The colors have a close to our life and there are many color names derived from plants in Japan. This study aimed to analyze relationship people and plants and investigated what the images of colors derived from plants related to the color names. Surveys on color images of abstract and concrete were conducted with adults who lived in the metropolitan area and in urban areas. The subjects were surveyed about images of similar colors derived from plants(3 type of similar two colors; pink, green and yellow) and asked to select a pair of color names(momo or pink, midori or green, yamabuki or lemon) corresponding to the color. The subjects were simultaneously presented with two similar colors and asked to give their perceptions of each color against 13 polar opposite pairs of terms or phrases using a Semantic Differential Scale, and asked to select the number of the 16 items concerned with life such as clothes and food. With the pink colors, many subjects did not feel opposite abstract images between these two similar colors and felt the same concrete images such as 'cosmetics' and 'clothes', and these color names such as momo and pink are confused. With the green colors and the yellow colors, many subjects felt opposite abstract images between these two similar colors such as 'natural - artificial' and 'rural - urban' and different concrete images such as 'plants' and 'plastics', and these two similar colors are distinguished by the color names such as 'midori - green' and 'yamabuki - lemon'. The results revealed that there are two patterns in the relationship colors derived from plants, color images and color names. In the pattern which images of colors derived from plants are connected with artificial things irrelevant to plants, the color names corresponding to the two similar colors are confused. On the other hand, in the pattern which images of colors derived from plants are connected with plants and artificial things, the two similar colors are distinguished by their color names. So demographics influenced the images of color, younger subjects compared with older tend to obviously distinguish images of colors derived from plants, and there are images of color influenced by the environment as a child. In both patterns, images of colors derived from plants are influenced by artificial things and natural colors are limited among many people. These results indicate that there are a few opportunities to see colors of plants which are full of variety. These results suggest that it is necessary to recognize colors derived from plants in relation to plants and to educate regarding the nature of plants, therefore landscape architecture focused on colors of plants is required.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.11
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• pp.2737-2753
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• 2013

In this study, we propose a novel salient object detection strategy based on regional contrast and relative spatial compactness. Our algorithm consists of four basic steps. First, we learn color names offline using the probabilistic latent semantic analysis (PLSA) model to find the mapping between basic color names and pixel values. The color names can be used for image segmentation and region description. Second, image pixels are assigned to special color names according to their values, forming different color clusters. The saliency measure for every cluster is evaluated by its spatial compactness relative to other clusters rather than by the intra variance of the cluster alone. Third, every cluster is divided into local regions that are described with color name descriptors. The regional contrast is evaluated by computing the color distance between different regions in the entire image. Last, the final saliency map is constructed by incorporating the color cluster's spatial compactness measure and the corresponding regional contrast. Experiments show that our algorithm outperforms several existing salient object detection methods with higher precision and better recall rates when evaluated using public datasets.

• Korean Journal of Cognitive Science
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• v.8 no.4
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• pp.1-10
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• 1997

The number of basic color names and the corresponding hues used in Korea were investigated. First, we did a field study about the color terms in Korean. Our results identify the color term inventory in Korean and permit a further test of Berlin and Kay's(1969) theory of color universals. Second, 36 subjets performed a color matching task. The matching task allows the referents and the best examplars of each color names to be determined. The hue area and the central hue corresponding to the basic color names were represented in the two dimensional color space. This study provides not only basic materials of Korean color term to psychology and linguistics but also bases for further study to the internal structure of Korean color categories.

• Archives of design research
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• no.16
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• pp.89-98
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• 1996

The purpose of this study is to offer proposals of the practical color schemes based on the use of color systems. This study focused on the .\lunsell color system, the Ostwald color system and the ISCC ~BS color names i and then selected the Ostwald color harmony and the Judd color hallTIOny in order to establish the general principles of color schemes. The method of color schemes is worked by' the 10 i hues circle of the .\Iunsell color system and the tone system of the ISCC :\BS color names, because our i country have been adopted the "vIunsell color system for the use of color education and the KS. This method is to make the balanced color schemes easily and effectively through color education ..olor education ..

• Archives of design research
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• v.12 no.4
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• pp.317-326
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• 1999

The Korean traditional color passed down over countless generations has surpassed both surpassed both time and space and continue today to breathe life into its people's everyday. In order to clarify the characteristics of Korean traditional color blue and red, we investigate the names of them and measured the color tones of textile remains in Chosun era. The characteristics of Korean traditional color blue and red have been surveyed by means of the examination of color names in many famous literatures in Chosun era. Korean terms for color tones were characterized by enormous variety of epithes crowned on them. The color names mentioned contain many unaccountable epithes which were characterized also deep colors and light colors were dominant in it. As a means of enhancing possibilities within limited colors, the commoners increased the names for varying tones of blue color group(32kinds) and red color group(40kinds). These "blue(indigo dyeing)' and 'red(safflower dyeing)' in Chosun era were shown very high frequency in use and the costume colors in Royal Court. With combination of these various blue and red colors they represented a thought of color based on Yinyang Theory and created a polished aesthetic taste. The color samples of textile remains in museum were measured and designated by Munsell color system and the ISCC-NBS color designation system. THe appeared rates were derived on Chosun era and features of colors using on the period were discussed. We aim to present specific recipes in indigo dyeing and safflower dyeing for using our apparel product and folk art.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.109-125
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• 2019

As interest on intelligent search engines increases, various studies have been conducted to extract and utilize the features related to products intelligencely. In particular, when users search for goods in e-commerce search engines, the 'color' of a product is an important feature that describes the product. Therefore, it is necessary to deal with the synonyms of color terms in order to produce accurate results to user's color-related queries. Previous studies have suggested dictionary-based approach to process synonyms for color features. However, the dictionary-based approach has a limitation that it cannot handle unregistered color-related terms in user queries. In order to overcome the limitation of the conventional methods, this research proposes a model which extracts RGB values from an internet search engine in real time, and outputs similar color names based on designated color information. At first, a color term dictionary was constructed which includes color names and R, G, B values of each color from Korean color standard digital palette program and the Wikipedia color list for the basic color search. The dictionary has been made more robust by adding 138 color names converted from English color names to foreign words in Korean, and with corresponding RGB values. Therefore, the fininal color dictionary includes a total of 671 color names and corresponding RGB values. The method proposed in this research starts by searching for a specific color which a user searched for. Then, the presence of the searched color in the built-in color dictionary is checked. If there exists the color in the dictionary, the RGB values of the color in the dictioanry are used as reference values of the retrieved color. If the searched color does not exist in the dictionary, the top-5 Google image search results of the searched color are crawled and average RGB values are extracted in certain middle area of each image. To extract the RGB values in images, a variety of different ways was attempted since there are limits to simply obtain the average of the RGB values of the center area of images. As a result, clustering RGB values in image's certain area and making average value of the cluster with the highest density as the reference values showed the best performance. Based on the reference RGB values of the searched color, the RGB values of all the colors in the color dictionary constructed aforetime are compared. Then a color list is created with colors within the range of ${\pm}50$ for each R value, G value, and B value. Finally, using the Euclidean distance between the above results and the reference RGB values of the searched color, the color with the highest similarity from up to five colors becomes the final outcome. In order to evaluate the usefulness of the proposed method, we performed an experiment. In the experiment, 300 color names and corresponding color RGB values by the questionnaires were obtained. They are used to compare the RGB values obtained from four different methods including the proposed method. The average euclidean distance of CIE-Lab using our method was about 13.85, which showed a relatively low distance compared to 3088 for the case using synonym dictionary only and 30.38 for the case using the dictionary with Korean synonym website WordNet. The case which didn't use clustering method of the proposed method showed 13.88 of average euclidean distance, which implies the DBSCAN clustering of the proposed method can reduce the Euclidean distance. This research suggests a new color synonym processing method based on RGB values that combines the dictionary method with the real time synonym processing method for new color names. This method enables to get rid of the limit of the dictionary-based approach which is a conventional synonym processing method. This research can contribute to improve the intelligence of e-commerce search systems especially on the color searching feature.

• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.11 no.3
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• pp.63-70
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• 1997

The objective of this study was to investigate the color preference and the recognition of color names among college students. The study revealed the following: 1) The most favorite colors included blue, purple, white and green in that order; and the least favorite colors included achromatic colors, ocher and red in that order. 2) Brown was the favorite color in furniture while red was the disliked color; In colthing, white was preferred while red was disliked; Red was appropriate for accent colors, and bright colors were for product packages. 3) In regards with seasonal image, yellow, blue, brown and white were associated with spring, summer, fall and winter, respectively; Blue represented self-image most. 4) Black, grey, red and green in that order showed the higest recognitions in color names while indigo, crimson, deep carmine and havy blue showed the lowesR ; Color name recognitions showed the order of achomatic, neutial, warm and cool colors.