• Journal of Fashion Business
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• v.22 no.2
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• pp.61-73
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• 2018

Power is the driving force of society, and the generation of power is inevitable. as long as society is rganized hierarchically. According to Michael Foucault's discourse modern power operates as a mechanism of 'panopticon', a system that monitors the 'body' of man through discipline. Moreover. fashion as acts as a symbol of beauty that continues to co-exist with power for the purpose of exposing status and authority, and for displaying the trends within a culture. So, it is necessary to study fashion design according to the changing power structure that exists in society. The aim of this study is to suggest types of creative fashion design process by visualizing the Foucault's power discourse through the image associative action. The four types of creative fashion design that have been drawn by visualizing Foucault's power discourse are as follow: disciplinary power, imprisonment power and knowledge power. The first type of fashion design method is to emphasize the shoulder by using shoulder pads, strings, tabs, and incisions in the clothing. The second method is to expose the body by using see-through material and manipulating its composition to expose the body. Third method is to borrowing elements of underwear. Fourth method is to utilize patterns that represent power, such as weapons, bones, blood, muscles, skulls, and various human imagesin the clothing. Through this study we expect to utilize creative fashion design to visualize concepts of the humanities, such as philosophical discourse.

• Archives of design research
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• v.16 no.1
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• pp.169-180
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• 2003

Multinational brands have rapidly penetrated into the domestic dining business and their brands are increasingly recognized by Koreans. Considering fast-food as a kind of brand product, we attempt to investigate recognition of brands and association by images with the focus on visual identity. The economic value has been reevaluated with more attention on brand images and brand identity. The purpose of the current paper is to find out the meaning of brand association in the fast-food industry. Fast-food business has been rapidly increasing thanks to quick sonics, convenience, relatively low price, equalized quality of food and service. Most fast-food restaurants are run under franchised system. This helps enhance the recognition of brands among customers. We intend to see whether there is significant relationship between customers' preference of brands and brand images. We also aim to seek for their problems of identity in the merchandising process for brand colors. We hope to help develop Korean franchise industry by asking how association by visual Images such as colors and figures of such brands takes place.

• Archives of design research
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• v.16 no.2
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• pp.375-384
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• 2003

This study is on the strategy for establishing successful corporate brand image, by understanding the need for increasing brand value based on the level of brand recognition. In order to carry this out, the PICS (Product Image Concentration System) is suggested, which includes Brand Image Analysis on a high-level, Product Image Programming based on the result of the image analysis, and Product Image Coherency Assessment and Management, resulting in setting up a guideline for gaining competitive advantage and brand management. Brand Image Analysis is a method that utilizes image association to understand brand disposition by analyzing the association pattern among available visual materials to measure the corporate and brand image inclinations. As the next step, Product Image Programming establishes design philosophy and principles based on the analysis of brand image, and the Visual Programming is a process for visualizing the intended product image direction. Lastly, Product Image Coherency Assessment examines whether to incorporate design philosophy and principles or not to arrive at an agreed evaluation criteria for developing designs coherent with the brand image. The PICS (Product Image Concentration System) is a practical method for increasing a company' competitive advantage and managing brand. The expectation on this system is to provide a guideline for applying brand image in design process more objectively. For further study, diversification of image spectrum based on expressive keywords and comparative analysis on images as well as a product image interpretation program to understand the order of visual materials will be necessary.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.797-800
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• 2011

최근 정보통신기술의 발달과 스마트기기 이용의 확산으로 인해 생활환경 및 업무 환경이 크게 변화되었다. 특히 스마트폰의 보급이 빠르게 확산되어 스마트폰을 사용해 업무처리가 가능한 스마트워크 환경에 관심이 증가하고 있다. 국내의 스마트워크에 대한 연구 및 기술개발은 초기단계이며 기업 내부 네트워크에 접근하기 위한 사용자 인증 기법 또한 부족한 실정이다. 따라서 본 논문에서는 스마트워크 환경에서 스마트폰을 이용하여 보안카드와 이미지 패스워드 기반의 사용자 인증 기법을 제안한다.

• The Journal of the Korea Contents Association
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• v.6 no.4
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• pp.89-97
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• 2006

Such changes that the digital paradigm brought propels a change of the value system itself in the existing society so that a way of thinking that differentiates oneself from others is getting much stronger. As public interests are higher in the image production on the internet, such authoring environments as development of related technologies, expansibility of information, and systematization of available information continue to change. Therefore, a variety of unique image presentations that fit to the changed environments are necessary and an expression method is indispensable for such image production. This study focuses on digital image creating in which a synectics method is applied. It suggests digital image application methods and examples that contain not just simple image distortion or variation but intrinsic significance. It is believed that it will be of good use to produce a variety of unique and innate digital images in the end.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.371-376
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• 2019

Creative thinking appears even before it is expressed in language, and its existence is revealed through emotion, intuition, image and body feeling before logic or linguistics rules work. In this study, Lego is intended to present experimental child interactive content that is applied with a computer vision based on image processing techniques. In the case of infants, the main purpose of this content is the development of hand muscles and the ability to implement imagination. The purpose of the analysis algorithm of the OpenCV library and the image processing using the 'VVVV' that is implemented as a 'Node' in the midst of perceptual changes in image processing technology that are representative of object recognition, and the objective is to use a webcam to film, recognize, derive results that match the analysis and produce interactive content that is completed by the user participating. Research shows what Lego children have made, and children can create things themselves and develop creativity. Furthermore, we expect to be able to infer a diverse and individualistic person's thinking based on more data.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.2
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• pp.313-320
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• 2023

The cumulative registration status of dogs is from 1.07 million in 2016 to 2.32 million in 2020. Animal registration is increasing by more than 10% every year, and accordingly, a name must be decided when registering a dog. We want to give a name that fits the characteristics of a dog's appearance, but there are many difficulties in naming it. This paper explains the development of a system for recognizing dog images and recommends dog names based on similar objects or food. This system extracts similarities with dogs' images through models that learn images of various objects and foods, and recommends dog names based on similarities. In addition, by recommending additional related words based on the image data of the result value, it was possible to provide users with various options, increase convenience, and increase interest and fun. Through this system, it is expected that users will be able to solve their concerns about naming their dogs, check names that suit their dogs comfortably, and give them various options through various recommended names to increase satisfaction.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.5
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• pp.959-966
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• 2017

Currently, the market of digital contents such as e-books, cartoons and webtoons is growing up, but the copyrights infringement are serious issue due to their distribution through illegal ways. However, the technologies for copyright protection are not developed enough. Therefore, in this paper, we propose the NSS-based publication classification method for copyright protection. Using histogram calculated by NSS, we propose classification method for digital contents using SVM. The proposed algorithm will be useful for copyright protection because it lets us distinguish illegal distributed digital contents more easily.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.125-132
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• 2014

This study is a research on the Photo-Storytelling applying factors of storytelling based on comics for the children photo education. Creation of new forms of contents has become possible due to the increase of the image creation and consumption in a new digital environment. Along with this development, the capacity for critical image literacy and the children photo education, as cultural arts, are more in demand than ever before. Therefore, the study proposes a new type of Photo-Storytelling that applies storytelling technique based on comics. First, we investigates the format of comics and compares photo and comics. Second, we analyzes photo education, which applies storytelling based on Comics and analyzes advantage it. This study will contribute to the development of basic research for children photo education by presenting a new form of photo education called the comic photos as the Photo-Storytelling program based on comics.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.99-106
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• 2020

The purpose of this study is to find out whether image similarity between celebrities and brands on social network service be a determinant to predict advertising effectiveness. To this end, an advertising effect prediction model for celebrity endorsed advertising was created and its validity was verified through a machine learning method which is a big data analysis technique. Firstly, the celebrity-brand image similarity, which was used as an independent variable, was quantified by the association network theory with social big data, and secondly a multiple regression model which used data representing advertising effects as a dependent variable was repeatedly conducted to generate an advertising effect prediction model. The accuracy of the prediction model was decided by comparing the prediction results with the survey outcomes. As for a result, it was proved that the validity of the predictive modeling of advertising effects was secured since the classification accuracy of 75%, which is a criterion for judging validity, was shown. This study suggested a new methodological alternative and direction for big data-based modeling research through celebrity-brand image similarity structure based on social network theory, and effect prediction modeling by machine learning.