• Journal of the Korean Society of Costume
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• v.64 no.3
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• pp.126-141
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• 2014

The purpose of this study is to analyze the specific mimesis types of common character costumes in MMORPGs, which have stories that are very similar in structure to ancient myths and fantasy novels. As the subject of the research I have selected "Diablo 3" created by the American video game developer, Blizzard Entertainment Images of 5 characters, for both genders - Barbarian, Witch Doctor, Monk, Demon hunter, Wizard - were compiled for a total of 10 images, and these images were compared to popular archetypes in mythology, religion and literature. analyzed them separately according to the mimesis type. For this study, Articles and books containing the Aesthetics, Mimesis and Digital culture were researched in order to study the costume features and the Mimesis types and compare them to the costumes in the MMORPG. Firstly, the character Barbarian is a successor of the barbarian character of the previous product. The outfit worn by the game figure is based on the common images expressed in the movie . The makers created an analogous-imitation mimesis by replicating the image in an exaggerated and grand form. Second, the character Witch Doctor derived its motif from the Voodoo cult, and was expressed in analogous-imitation mimesis, using the very shades and patterns used in real life. Third, the character Monk, blending the image of a priest in Eastern Europe and images of its oriental counterparts, was expressed in transposition-diversion mimesis. Fourth, the Demon Hunter took the source of its inspiration from the image of a Witch hunter in the medieval times. The game character has a sharper sleeker figure than its model, and uses more acute shapes and darker gloomier colors expressed in an analogous-imitation mimesis. Finally, the character Magician took a formless character and expressed it in transposition-diversion mimesis taking as its basis some fantasy novels.

• Journal of the Korean Society of Costume
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• v.52 no.8
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• pp.55-71
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• 2002

The purpose of this study was to identify a basic meaning of humor from the costume expressing cartoon image, to grasp the status of contemporary costume, and also to supply people with a database related to the sphere of costume design. This was done by analyzing and examining humor of the costume expressing cartoon image in post-industrial society. Consequently, the result of this study was summarized as follows; First, humor by parody of Pop Art is recognized as humorous expression that repulsed the main current culture and post-industrial society phenomenon. Second, humor by quotation tends to appear through cartoon character. Costume which quote cartoon character is against Kidult tastes and the pre-existing authoritative prejudices in post-industrial society. Third, humor by bricolage, making bricolage with silhouette, color, pattern item, is recognized as new creation of humor In other words, it is regarded as enlargement of new esthetic consciousness and humor about instrumented gender in post-industrial society. Lastly, humor by deformation expressed itself in deformation of body image of character and cloth silhouette by cartoon image. Deformation of cloth silhouette by cartoon image, being not conscious pre-existing concept of harmony of human and costume, is recognized as humor which have characteristic of play with introduction of new silhouette. In addition to, the result of this study showed that humor expressed in cartoon image of costume has been limited to the works of few designers because of characteristics of fashion designers who made use of popularity as subjects of the works and internal meanings which were related to the characteristics of post-industrial society.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1991.10a
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• pp.77-80
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• 1991

This paper proposes a new feature extraction method which is effectively used in character recognition, and validate the effectiveness through various computational methods for similiarity degree. To get feature vectors used in this method, Hough transform is applied to character image, which is used for edge extraction in image processing. By that transformation technique, strokes could be extracted and feature vectors constructed suitably. The characteristic of this method is solving the difficulties in stroke extraction through transform space analysis, which is induced by noise and blurring, and representing high recognition rate 99.3% within 10 candidates in relative low dimension.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1984.10a
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• pp.1-4
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• 1984

This paper is discussed to prepard reference data as a bassic study for Hangeul Character recognition and to extract 2 - Dtransform Korean Charater Image, The 1959 Hangeul Characters is established to form the total 170patterns of 17 formats classified by the initial soun, middle sound and terminal sound and prossessed the 2-D Korean Character Image. Using Superpostion theormm, we are applied to recognition Algorithm. For 50's Hangeul, the recognition efficiency is calculated by computer simulation.

• The KIPS Transactions:PartB
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• v.13B no.6 s.109
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• pp.591-600
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• 2006

This paper describes the development and implementation of a algorithm to decompose word images from image regions mixed text/graphics in document images using statistical analyses. To decompose word images from image regions, the character components need to be separated from graphic components. For this process, we propose a method to separate them with an analysis of box-plot using a statistics of structural components. An accuracy of this method is not sensitive to the changes of images because the criterion of separation is defined by the statistics of components. And then the character regions are determined by analyzing a local crowdedness of the separated character components. finally, we devide the character regions into text lines and word images using projection profile analysis, gap clustering, special symbol detection, etc. The proposed system could reduce the influence resulted from the changes of images because it uses the criterion based on the statistics of image regions. Also, we made an experiment with the proposed method in document image processing system for keyword spotting and showed the necessity of studying for the proposed method.

• The Journal of the Korea Contents Association
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• v.8 no.5
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• pp.165-175
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• 2008

With the beginning of the 21st century, the rapid change of the environment of education makes the universities eager to develop a new image of themselves (i.e. image marketing). Character, one of the image marketing items, plays an important role for improving the image of universities by connecting the inner members more firmly, preserving the tradition of the university and being used as an advertising instrument. Considering these important roles, universities are focusing on designing character in order to express their identity and image efficiently. In this study, I surveyed the characters of universities and examined that these characters are reflecting the image of their universities, working on unity and harmony of the members and establishing the identity of each university properly. At the same time, I analyzed the relation between characters and symbols of universities. I expect that familiar and identified characters can be an essential element in improving the image of universities by giving visual advertising effects and informing the image of universities distinctively.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.61-68
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• 2018

In this paper, we propose a method of character detection by analyzing image enhancement and character type to detect characters in natural images that can be acquired in everyday life. The proposed method emphasizes the boundaries of the object part using the unsharp mask in order to improve the detection rate of the area to be recognized as a character in a natural image. By using the boundary of the enhanced object, the character candidate region of the image is detected using Maximal Stable Extermal Regions (MSER). In order to detect the region to be judged as a real character in the detected character candidate region, the shape of each region is analyzed and the non-character region other than the region having the character characteristic is removed to increase the detection rate of the actual character region. In order to compare the objective test of this paper, we compare the detection rate and the accuracy of the character region with the existing methods. Experimental results show that the proposed method improves the detection rate and accuracy of the character region over the existing character detection method.

• Proceedings of the Korea Society of Design Studies Conference
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• 2005.10a
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• pp.218-219
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• 2005

• Journal of the Korean Society of Costume
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• v.64 no.5
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• pp.18-29
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• 2014

Modern male has displayed an increased desire to express their social influence and image, and the male fashion market has had to provide various styles and images to fill these needs. The current domestic menswear market, however, is unable to satisfy the needs of male consumers who have a need for diversity in a rapidly changing society; more segmented fashion images and styles are needed. The purposes of this study are to classify fashion images and to establish character of the types. This study was done by performing a literature review and a survey. This study proposed 10 categories of fashion style images. Men's fashion style is classified into the classic image, sophisticated image, urban casual image, chic modern image, mods modern image, basic casual image, ethnic image, avant-garde image, active & outdoor image, and street-kitsch image. In the case of the classic images, common in formal setting, men's formal wear is the main focus with the classic suit. The sophisticated image is that of a colorful formal wear seasoned with elegance. Urban casual image is contemporary image, and therefore is meant for city life wear. Chic and modern image conveys an urban image by seeking a simple and chic feel. Mods modern image is retro yet dandy, giving off a sense of youthfulness compared to the other classic images. Ethnic image expresses the exotic quality of folklore as the main representatives of the character casual wear. Avant garde image portrays strong character casual wear with oversized silhouettes or exaggerated details. Active & Outdoor image is leisure life wear conveying active, functional images. Street Kitsch image is men's street casual wear with graphic patterns such as pop art and graffiti. This study's significance lies in its presentation of fashion style data, which can be utilized in the design and marketing of fashion targeted to males.

• Journal of Broadcast Engineering
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• v.7 no.2
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• pp.136-144
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• 2002

In this paper, a novel approach that makes use of both shape and color information to retrieve character images in terms of similarity distance from a large-capacity image database or from a streaming image database, in particular, character image logo or trademark. In order to combine both features of completely different characteristics bipartite matching has been employed in computing similarity distance, The proposed method turned out to bealso very effective in matching natural object or human-drawn images whose shape varies substantially.