• Trans-
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• v.12
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• pp.51-79
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• 2022

This study investigates the methods for deriving colors which can serve as a reference to users such as designers and or contents creators who search for online images from the web portal sites using specific words for color planning and more. Two experiments were conducted in order to accomplish this. Digital scenery photos within the geographic scope of Korea were downloaded from web portal sites, and those photos were studied to find out what colors were used to describe daytime and nighttime. Machine learning was used as the study methodology to classify colors in daytime and nighttime, and KSCA was used to derive the color frequency of daytime and nighttime photos and to compare and analyze the two results. The results of classifying the colors of daytime and nighttime photos using machine learning show that, when classifying the colors by 51~100%, the area of daytime colors was approximately 2.45 times greater than that of nighttime colors. The colors of the daytime class were distributed by brightness with white as its center, while that of the nighttime class was distributed with black as its center. Colors that accounted for over 70% of the daytime class were 647, those over 70% of the nighttime class were 252, and the rest (31-69%) were 101. The number of colors in the middle area was low, while other colors were classified relatively clearly into day and night. The resulting color distributions in the daytime and nighttime classes were able to provide the borderline color values of the two classes that are classified by brightness. As a result of analyzing the frequency of digital photos using KSCA, colors around yellow were expressed in generally bright daytime photos, while colors around blue value were expressed in dark night photos. For frequency of daytime photos, colors on the upper 40% had low chroma, almost being achromatic. Also, colors that are close to white and black showed the highest frequency, indicating a large difference in brightness. Meanwhile, for colors with frequency from top 5 to 10, yellow green was expressed darkly, and navy blue was expressed brightly, partially composing a complex harmony. When examining the color band, various colors, brightness, and chroma including light blue, achromatic colors, and warm colors were shown, failing to compose a generally harmonious arrangement of colors. For the frequency of nighttime photos, colors in approximately the upper 50% are dark colors with a brightness value of 2 (Munsell signal). In comparison, the brightness of middle frequency (50-80%) is relatively higher (brightness values of 3-4), and the brightness difference of various colors was large in the lower 20%. Colors that are not cool colors could be found intermittently in the lower 8% of frequency. When examining the color band, there was a general harmonious arrangement of colors centered on navy blue. As the results of conducting the experiment using two methods in this study, machine learning could classify colors into two or more classes, and could evaluate how close an image was with certain colors to a certain class. This method cannot be used if an image cannot be classified into a certain class. The result of such color distribution would serve as a reference when determining how close a certain color is to one of the two classes when the color is used as a dominant color in the base or background color of a certain design. Also, when dividing the analyzed images into several classes, even colors that have not been used in the analyzed image can be determined to find out how close they are to a certain class according to the color distribution properties of each class. Nevertheless, the results cannot be used to find out whether a specific color was used in the class and by how much it was used. To investigate such an issue, frequency analysis was conducted using KSCA. The color frequency could be measured within the range of images used in the experiment. The resulting values of color distribution and frequency from this study would serve as references for color planning of digital design regarding natural scenery in the geographic scope of Korea. Also, the two experiments are meaningful attempts for searching the methods for deriving colors that can be a useful reference among numerous images for content creator users of the relevant field.

• Journal of Korean Society for Geospatial Information Science
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• v.2 no.1 s.3
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• pp.73-80
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• 1994

Most terrain information have been generally acquired by map. Because the map presents the real terrain, not by real figure but by contours, geometric figures, symbols, texts, and colors, it is not easy to interpret the real terrain by map. For this reason, aerial photos or terrestrial photos also have been used sometimes in the terrain analysis. But photos have geometrical displacement caused by the position of camera at the exposition time and the relief of the object. So, for accurate posional analysis, orthophoto maps produced by optical rectifier have been used. But, it is hard to produce orthophoto map by optical rectifier and the process is so slow. This study aims to present an accurate and rapid method to produce orthophoto map by generating digital elevation model from stereo aerial photos on common computer using the digital photogrammetric technique and producing orthophoto map digitally using the digital elevation model.

• Journal of Fashion Business
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• v.12 no.3
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• pp.1-15
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• 2008

The purpose of this study is to analyze women's street fashion in Shenyang and to understand the regional design preference. The city, Shenyang is not only known as the one of three major northeastern province in China, but also known as the city where large numbers of Korean fashion companies have launched in. The observation focused mainly on young/young adults and missy in Oe Market and ZungJie(中街) which are the most busy streets in Shenyang. A digital camera or a camcorder were used to take photos of these women. In addition, video captures or photos were analyzed by three fashion experts. Finally, the photos were classified by item and data was coded for statistics and reviewed through frequency and percentage. As a result, it was found that most young women in Shenyang liked to wear a casual style such as easy t-shirt, denim pants or skirt and a feminine style such as a one-piece dress in summer. Top items that were favoured by young women in Shenyang were t-shirts and blouse types, while they favoured to wear denim pants of indigo blue for bottom items. Frequently found colors among these womens' clothing were white, black, vivid blue, red and red purple. I strongly believe this study will provide basic but significant information for the establishment of design and marketing strategies to the Korean fashion brands, who is trying to access Chinese fashion market.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.697-702
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• 2008

Mobile display panel is small so that users are often difficult to perceive images clearly. About image we perceive much through colors and therefore we propose color fitting approach for clear perception even on the small and low quality LCD panels. Various color modifications have been studied and used in commercial software packages. For mobile usage, our approach instantly enhances color images by modifying colors in a way to contrast differences of them. The method includes tone enhancements (which contrast dark and bright sides) and color enhancements (which reduce saturation for pure colorants). Based on color theory, our method also modifies color values towards specified complementary and preference colors. We term this color fitting. This approach enables displaying photos, multimedia messages, videos and digital media broadcasting (DMB) for better perception in real-time on mobile devices. Index Terms.) color fitting, visualization on small display, mobile graphics, visual perception.

• The KIPS Transactions:PartB
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• v.19B no.1
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• pp.1-8
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• 2012

Mosaic is to make a big image by gathering lots of small materials having various colors. With advance of digital imaging techniques, photomosaic techniques using photos are widely used. In this paper, we presents an automatic photomosaic algorithm based on adaptive tiling and block matching. The proposed algorithm is composed of two processes: photo database generation and photomosaic generation. Photo database is a set of photos (or tiles) used for mosaic, where a tile is divided into $4{\times}4$ regions and the average RGB value of each region is the feature of the tile. Photomosaic generation is composed of 4 steps: feature extraction, adaptive tiling, block matching, and intensity adjustment. In feature extraction, the feature of each block is calculated after the image is splitted into the preset size of blocks. In adaptive tiling, the blocks having similar similarities are merged. Then, the blocks are compared with tiles in photo database by comparing euclidean distance as a similarity measure in block matching. Finally, in intensity adjustment, the intensity of the matched tile is replaced as that of the block to increase the similarity between the tile and the block. Also, a tile redundancy minimization scheme of adjacent blocks is applied to enhance the quality of mosaic photos. In comparison with Andrea mosaic software, the proposed algorithm outperforms in quantitative and qualitative analysis.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.555-561
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• 2018

It is the Korean language textbook of elementary school 1~2 grade that forms the basis of the textbook to nurture the creative convergence talent with the core competence required by the future society. In order to increase the learning effect based on the textbooks, the interest inducing factors were derived on the basis of the learning interest, and the textbook design was analyzed by the in - depth interviews and discussions of the expert group. As a result, Graphic elements using bright and soft colors, illustrations of peer groups related to learning contents, and resilient use of sans serifs. However, issues such as lack of proper mixing of photos and illustrations, further development of learning helper characters, configuration of spare margins, graphic image design, and lack of a structured layout that utilizes color and visual images were cited as problems.

• The Journal of the Korea Contents Association
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• v.15 no.12
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• pp.97-105
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• 2015

In the history of photograph, after the development of color photographs, those with multiple colors and high definition has gradually become the mainstream works in the field of photography. In the modern society of China that has been through reform and opening up, people's minds were increasingly liberated to widely accept color photos in terms of photography. Furthermore, the broad penetration of digital photography has brought together a new trend in the field of black-and-white photography. In line with this trend, more black-and-white photographs have appeared which are different from existing ones in the film-based period. In this recognition, the study seeks to compare the black-and-white documentary photograph works of Chinese photographers and analyze the modern Chinese black-and-white photographs.

• Fashion & Textile Research Journal
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• v.7 no.4
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• pp.401-406
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• 2005

The objective of this field research is to determine consumer's fashion sense and provide helpful information to manufacturers when planning designs and merchandizing strategies. This study's purpose was to observe what was being worn, colors and tones. The method of research was fixed point observation using digital photos. The subjects of the research were female college students, 18-22 years old. The T-shirt has become the representative item for casual and comfortable wear by the female college students. Pants and blue jeans were worn more often than skirts as a lower garment. This shows that the students think about their activities when choosing a lower garment. The majority of these students chose clothing that functioned well for their school activities. Among students that wore skirts about half wore a functional knee length while the other half wore a more fashionable mini-skirt. These students appear to care about both fashion and function. Blue was especially popular, with 70.4% of all lower garments being blue. This effect makes the body look thinner and may be one reason why blue is so popular. White is a popular color as an upper garment. White upper garments are easily matched with any color, while blue upper garments coordinate well with similarly colored blue lower garments. The distribution of upper garment color is significantly influenced by the seasons. Blue jean tones were many and varied, while upper garments were mostly weak tones and bright tones of pale, light and soft.

• Journal of Fashion Business
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• v.12 no.2
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• pp.59-71
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• 2008

The purpose of this thesis is to analyse the style, color, and items of '06-07 F/W women's street fashion in Dalian. The cultural, racial and geographical uniqueness, asks for the analysis, based on the individual local area on the part of Korean fashion company desiring to launch into China fashion market. I would contribute to the understanding the preference of fashion in northeastern area, thereby, affording a fundamental resources for designing strategies for Korean fashion brands in China. The period of investigation is about 15 weeks from 23 Sep. 2006 until 6 Jan. 2007, with combined use of camcorder and digital camera. The site was Victory Shopping Plaza, in center of City, also with Mycal, Ansung, Dasang department store situated in the Economic Development Zone. Finally, 900 photos were selected for analysing. The result of this study are as follows: 1. Preferred clothing styles are jean casual 45.4%(409), sports casual 16.3%(147), character casual 8%(72), feminine 20.6%(185), Classic 9.7%(87). Compare to the former study about Spring, Sports casual showed dominant rate about 36.0% in casual style. In Winter, however, the preference were changed from sport casual to jean casual. 2. Preferred clothing items are parka/padding coat 32.3%(291), jumper 31%(279), T-shirts 16%(144) and jacket 7.5%(67) for tops, pants 91.8%(826) and skirts 8.2%(74) for bottoms. In the pants, straight pants 78.4%(648), bell bottom pants 10.9%(90), capri pants 7.4%(61), cargo pants 2.9%(24), bermuda pants 0.4%(3) were listed respectively. In the skirts, A-line skirt 51.3%(38), pleats skirt 25.7%(19), flare skirt 12.2%(9), semi-tight skirt 8.1%(6), tight skirt 2.7%(2) were listed. Finally the skirt length midi 75.7%(56), mini 18.9%(14) and maxi 5.4%(4) were listed. 3. Preferred colors are red 21.8%(196), white 21.6%(194), black 16.4%(148), yellow 10.0%(90), beige 9.3%(84), green 7.9(71) and blue 6.3%(57) for tops, and black 40.8%(367), blue 37.7%(339), gray 4.6%(41), white 4.3%(39) etc. for bottoms.