• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.14 no.2
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• pp.1-7
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• 2000

The purpose of this study was to investigate the image of color of 230university students. In this paper, the degree of preference of for Blue, White were higher than those of others. There was a difference among individuals for the hatred color. It was considered Yellow as spring. Blue as summer and White as winter about the seasonal color, but the range of color image was wide for the color of autumn. White, Grey and Black like achromatic colors have a proper image, black has a positive image in particular. In case of 12 chromatic colors, Red, Yellow, Blue and Yellow Green have a proper image. In particular, Red was shown the same image but Blue was shown the contradiction image as compared with the preceding studies. Green, one of the primary colors(Red, Green, Blue) of light sources, has not a characteristic image.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.25 no.4
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• pp.313-332
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• 2014

With the increased creation, distribution, and use of image in context of the development of digital technologies and internet, research endeavors have accumulated drastically. As two dominant aspects of image retrieval have been considered content-based and concept-based image retrieval, concept-based image retrieval has been focused in the field of Library and Information Science. This study aims to systematically review the accumulated research of image retrieval from the perspective of LIS field. In order to achieve the purpose of this study, two data sets were prepared: a total of 282 image retrieval research papers from Web of Science, and a total of 35 image retrieval research from DBpia in Kore for comparison. For data analysis, systematic review methodology was utilized with bibliographic analysis of individual research papers in the data sets. The findings of this study demonstrated that two sub-areas, image indexing and description and image needs and image behavior, were dominant. Among these sub-areas, the results indicated that there were emerging areas such as collective indexing, image retrieval in terms of multi-language and multi-culture environments, and affective indexing and use. For the user-centered image retrieval research, college and graduate students were found prominent user groups for research while specific user groups such as medical/health related users, artists, and museum users were found considerably. With the comparison with the distribution of sub-areas of image retrieval research in Korea, considerable similarities were found. The findings of this study expect to guide research directions and agenda for future.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11b
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• pp.721-724
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• 2003

대부분의 이미지 검색은 질의 키워드를 이용하여 이루어지기 때문에 웹으로부터 수집한 이미지에는 미리 주제와 연관된 적절한 색인어를 부여하는 것이 필요하다. 웹 문서의 키워드를 이용하는 방법은 이미지와 연관성이 높은 것으로 간주되는 주변 키워드에 대해 각각의 연관도를 계산하여 색인어를 선정하는 방법이다. 본 논문에서는 이미지 주변의 키워드를 이용하여 이미지를 인덱싱한 후 유저 피드백을 통해 정확도를 높이는 웹 이미지 검색 모델을 제안한다.

• Archives of design research
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• v.16 no.4
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• pp.255-266
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• 2003

The Purpose of this study is to develop color palettes for the campus environment to find an identity of various Universities in Korea. This research is focused on the Shin-chon campus of Yonsei University because it has a long history and a mixture of old and new modern buildings in the campus. It takes three steps to proceed this study. Firstly, it is needed to find the images and history of Yonsei University from the documents. In the second place, the colors should be collected from the building materials, four seasons in campus, buildings in campus. At this point, color measurement devices, NCS color system, digital camera and other appropriate devices were used for the study. The third step shows the results of the analysis and development of color palettes based on the analyzed materials from second step. This research suggests three major color groups. The typical main colors of the campus building are YR/anchromatic with middle level of value and chroma from the analysis. The sub-colors are similar to the main colors with pale/light grayish/dull/deep tone. The color palettes out of the results could be used as a standard for campus color scheme in the future to build an identity of Yonsei University.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.130-132
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• 2002

본 논문에서는 에지 디스크립션 템플릿을 이용한 개념기반 이미지 검색 모델을 제안한다. 이 모델은 하나의 개념과 관련된 여러 형태의 이미지 템플릿들을 명시한 지식베이스를 채용한다. 여기서, 이미지 템플릿은MPEG-7국제 표준으로 채택된 에지 히스토그램 디스크립션 방법으로 표현된다 따라서, 하나의 이미지는 자신의 에지 히스토그램과 유사한 템플릿를 가지는 개념으로 색인될 수 있기 때문에 이 모델은 방대한 이미지에 대한 자동 색인과 개념기반 검색을 지 인할 수 있다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.11a
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• pp.69-75
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• 2001

식품의 맛은 미각, 후각, 시각, 청각, 촉각에서 느낀 여러 가지 인상과 개인의 경험이나 기호가 복합적으로 적용되어 인식된다. 특히 맛을 결정하는 영향 요인 중에서 시각을 통해 인지하는 색은 실제 맛을 지각하기 전에 맛에 대한 이미지를 연상시킴으로써, 식품 선택에 결정적인 영향을 준다. 따라서 식품색을 적용함에 있어 식품 자체의 맛 이미지를 효과적으로 전달할 수 있는 색을 활용함으로써, 소비자들이 좀더 관능적으로 선호할 수 있는 식품을 개발할 수 있을 것이다. 본 연구에서는 소비자들이 특정 식품을 선택하여 구매하고자 할 때 인지하게 되는 맛 이미지를 효과적으로 전달하기 위한 도구로서 색채를 사용하기 위해 사례연구를 진행하였다. 사례연구는 초콜릿색에서 연상되는 맛에 관한 웹 설문을 통해 진행되었다. 설문 결과를 바탕으로 식품색에서 연상하게 되는 맛에 영향을 주는 요인을 추출하고, 초콜릿 맛의 종류와 느낌의 정도에 따른 주요 색채의 경향성을 도출함으로써 시각을 이용하여 보다 정확하게 초콜릿 맛의 공감각적 특성을 전달하기 위한 기초자료를 제안하였다.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.1835-1838
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• 2003

Texts in natural images contain significant and detailed informations about the images. Thus, to extract those texts correctly, we suggest a text extraction method using color variance feature. Generally, the texts in images have color variations with the backgrounds. Thus, if we express those variations in 3 dimensional RGB color space, we can emphasize the text regions that can be hard to be captured with a method using intensity variations in the gray-level images. We can even make robust extraction results with the images contaminated by light variations. The color variations are measured by color variance in this paper. First, horizontal and vertical variance images are obtained independently, and we can fine that the text regions have high values of the variances in both directions. Then, the two images are logically ANDed to remove the non-text components with only one directional high variance. We have applied the proposed method to the multiple kinds of the natural images, and we confirmed that the proposed feature can help to find the text regions that can he missed with the following features - intensity variations in the gray-level images and/or color continuity in the color images.

• Proceedings of the Optical Society of Korea Conference
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• 2003.02a
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• pp.122-123
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• 2003

색은 정보이다. 그러므로 다양한 매체를 통해 색을 정확하게 재현하기 위해서는 객관적인 색의 표시가 요구된다. 일반적으로 정확한 색표시를 위해서는 측색 기기를 사용해야 한다. 그러나 측색 기기는 가격이 비싸고 기기를 운용하는 전문적인 지식이 필요하다. 뿐만 아니라, 측정 면적의 한계로 이미지 속의 좁은 면적을 차지하는 색들은 측정이 불가능하다 본 연구는 널리 사용되고 있는 사무용 스캐너를 사용한 색측정 기술에 관한 것이다. (중략)

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.510-513
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• 2010

Color is basically composed of hue, saturation and value. Many objects are made up with color. When people see color, they feel different emotion because of different combination of hue, saturation and value of different colors. Thus, people feel different feeling about the taste of food depending on its color. Thus, by analyzing what color makes people feel tasty about food, we can make food to look more delicious. When people take pictures of food, theyusually do not consider this into account. However if we apply this technology into taking pictures of food, we can make the food look more delicious. This technology can be applied when people want to upload pictures of food in blog, homepage and twitter and so on. In this paper, we analyze the feelings of color of people and then choose the best color combination to present food. After that we change the original image into the new one based on the analysis of color. This way, we can reflect each user's preference.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.647-655
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• 2009

Colors, as a part of contents, have great implications to consumers. Each individual feels the image of colors as an outcome of the accumulated experience or knowledge of oneself. This study aims to find the personality and meaning of color images through the predicted trend colors and to analyze the consumers' attitude towards them. We found that the 5 major trend colors such as Crystal Sound, Creamy Touch, Mysterious Vintage, Autumn Forest and Carnival seem to have their own personality images. Furthermore, we discovered that Crystal Sound has an image of a self-made man, Creamy Touch a highschool girl, Mysterious Vintage a God father, Autumn Forest the public and Carnival a circus clown as a result of additional adjective image analysis. In addition, customers marked the highest preference for Creamy Touch. The research result shows that the personality of an individual and that of colors are coincide and it might bring about a positive consumer behavior. And this research has a significant meaning since it is a sort of interdisciplinary study in-between fashion and marketing and it should be studied further later.