• Archives of design research
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• v.15 no.4
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• pp.47-56
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• 2002

The purpose of this study is to clarify how modern formative art reflects surrealism and propose a Art Make-up expressed based on the trend. The study also aims at demonstrating the part that the Make-up based on surrealism is also an artistic being keeping pace with the trend of art. For the purpose, the study reviewed related theoretical backgrounds and works as manufactured. Based on these theoretical backgrounds, the author anufactured works of his own, realizing the combination between theoretical and practical aspects. Those works were motivated from existing surrealistic paintings or otherwise made surrealistically through creation by the author for himself. The works included , (Work 2-MAGRITTE's Expression>, , , and . Results of the study, which were obtained through manufacturing the works, can be described as follows. First, senses of modern formation and line were emerged by applying the materials and images frequently shown in surrealistic paintings to human bodies. Second, characteristics of the Art Make-up for artistic image were revealed, not limited to colors, expressions, subjects, techniques and materials. Third, an unlimited, interesting expression of the Make-up using a variety of materials became possible by applying extremely subjective, surrealistic paintings and images in various ways. This paper proposed that the Make-up should be a artistic image itself, not as a secondary means for an obvious expression of personal beauty which has been maintained since the ancient times. The researcher tried to put the Art Make-up into our daily life by making creative works which viewed and psychologically enjoyed by people and by proposing the works as sort of image theme to the spectators.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.10
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• pp.397-402
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• 2019

Accurately predicting cancer prognosis to provide appropriate treatment strategies for patients is one of the critical challenges in bioinformatics. Many researches have suggested machine learning models to predict patients' outcomes based on their gene expression data. Gene expression data is high-dimensional numerical data containing about 17,000 genes, so traditional researches used feature selection or dimensionality reduction approaches to elevate the performance of prognostic prediction models. These approaches, however, have an issue of making it difficult for the predictive models to grasp any biological interaction between the selected genes because feature selection and model training stages are performed independently. In this paper, we propose a novel two-dimensional image formatting approach for gene expression data to achieve feature selection and prognostic prediction effectively. Node2Vec is exploited to integrate biological interaction network and gene expression data and a convolutional neural network learns the integrated two-dimensional gene expression image data and predicts cancer prognosis. We evaluated our proposed model through double cross-validation and confirmed superior prognostic prediction accuracy to traditional machine learning models based on raw gene expression data. As our proposed approach is able to improve prediction models without loss of information caused by feature selection steps, we expect this will contribute to development of personalized medicine.

• Journal of Korea Multimedia Society
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• v.14 no.4
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• pp.494-503
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• 2011

In this paper, we propose a recognition application of facial expression for laughter theraphy on smartphone. It detects face region by using AdaBoost face detection algorithm from the front camera image of a smartphone. After detecting the face image, it detects the lip region from the detected face image. From the next frame, it doesn't detect the face image but tracks the lip region which were detected in the previous frame by using the three step block matching algorithm. The size of the detected lip image varies according to the distance between camera and user. So, it scales the detected lip image with a fixed size. After that, it minimizes the effect of illumination variation by applying the bilateral symmetry and histogram matching illumination normalization. After that, it computes lip eigen vector by using PCA(Principal Component Analysis) and recognizes laughter expression by using a multilayer perceptron artificial network. The experiment results show that the proposed method could deal with 16.7 frame/s and the proposed illumination normalization method could reduce the variations of illumination better than the existing methods for better recognition performance.

• International Journal of Internet, Broadcasting and Communication
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• v.7 no.2
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• pp.51-55
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• 2015

This paper proposes an algorithm for risk situation recognition using facial expression. The proposed method recognitions the surprise and fear expression among human's various emotional expression for recognizing dangerous situation. The proposed method firstly extracts the facial region using Harr-like technique from input, detects eye region and lip region from the extracted face. And then, the method applies Uniform LBP to each region, detects facial expression, and recognizes dangerous situation. The proposed method is evaluated for MUCT database image and web cam input. The proposed method produces good results of facial expression and discriminates dangerous situation well and the average recognition rate is 91.05%.

• Korean Institute of Interior Design Journal
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• v.15 no.1 s.54
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• pp.98-105
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• 2006

This study tries to find how architects interpret and express fashion brand images. First, it examines the concept of brand images and its architectural expression of them in contemporary commercial architecture. Second, it investigates the brand strategies and architectural expression strategies of world-famous fashion brand companies such as Prada and Louis Vuitton. Third, it finds out architects' expression of the brand strategies focusing on Rem Koolhaas, Herzog & do Meuron, Jun Aoki, Barthelemy-Grino, Kumiko Inui. In conclusion, architects have their own expression tools for fashion brand images but the extent of expression vanes according to each brand strategy.

• Journal of Information Processing Systems
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• v.17 no.2
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• pp.399-410
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• 2021

Aiming at the problem that complex external variables in natural scenes have a greater impact on facial expression recognition results, a facial expression recognition method based on two-stream convolutional neural network is proposed. The model introduces exponentially enhanced shared input weights before each level of convolution input, and uses soft attention mechanism modules on the space-time features of the combination of static and dynamic streams. This enables the network to autonomously find areas that are more relevant to the expression category and pay more attention to these areas. Through these means, the information of irrelevant interference areas is suppressed. In order to solve the problem of poor local robustness caused by lighting and expression changes, this paper also performs lighting preprocessing with the lighting preprocessing chain algorithm to eliminate most of the lighting effects. Experimental results on AFEW6.0 and Multi-PIE datasets show that the recognition rates of this method are 95.05% and 61.40%, respectively, which are better than other comparison methods.

• Journal of the Korean Society of Costume
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• v.55 no.7 s.98
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• pp.101-113
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• 2005

The purpose of this research was to identify the perception maps of Imported make-up brands and advertising images by analyzing their ads in periodicals from 2004 S/S. A self-administered questionnaire included seven adjectives to describe the brand and advertising images of the imported make-up products. Data was analyzed by using the KYST, CORAN, and SPSS programs, the positioning through Multi-Dimensional Scaling. The results of the research were as follows: 1. The perception of the brand images of Chanel, Chiristian Dior, and Lancome was the highest. The advertising images of Clinique and Bourjois were the highest and that of Shiseido was the lowest. 2. The respondents perceived Christian Dior and Chanel to be similar in the brand image factors of good quality, sophistication and uniqueness. Christian Dior, Chanel, and Lancome were all perceived similarly in their degree of familiarity and level of stimulation.

• The Research Journal of the Costume Culture
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• v.14 no.2
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• pp.234-246
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• 2006

As social recognition about men changes and men's concern about appearance increases, so in the social phenomenon of men's toiletries' diversification, ramification and specialization, the aim of this study is to analyze meaning of men's toiletries centered on men's toiletries advertisement published on men's fashion magazines which can be said to speak for men's culture. After collecting of 209 kinds of men's toiletries advertisements published in 'Esquire' and based on contents analysis results divided into domestic & foreign toiletries and perfumery, the symbolic analysis result with selection of representative advertisement in each field separately is that there are more cases of giving salience to a product through image expression rather than emphasizing product's function only, and the emphasis of image only achieves eminence in case of perfumery. At the comparison of domestic with foreign toiletries, in case of domestic toiletries, there are more cases of expressing meaning of toiletries through model image or backgrounds, while in case of foreign toiletries, there are more cases of expressing of function or effect of product through general image itself.

• The Research Journal of the Costume Culture
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• v.30 no.6
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• pp.861-879
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• 2022

Simulacre means a copy of the original, an ostensible representation of someone or something. This study closely looks at the 2017 <VOGUE like a painting exhibition> hosted by the fashion magazine Vogue. The purpose of this study is to use both theoretical and empirical analysis to analyze the simulacre developed in fashion photographs inspired by famous paintings in the exhibition booklet. The booklet is divided into four sections: portrait, rococo, landscape painting, from avant-garde to pop art. It also contains 55 pieces comparing the original masterpieces to the works of 26 photographers inspired by them. The fashion photographs were analyzed using Jean Baudrillard's four stages of simulacre transformation: represent, denature, dissimulate, and replace image change theory. The degree of simulacre expression was indicated three times on a four-point Likert scale by five fashion majors, and the results were integrated and analyzed. As a result, in fashion photography, simulacre-due to the development of photography technology and the photographer's artistry-appeared in various ways; image denature was most preferred, followed by dissimulate, represent, and replace. This study shows that image analysis of fashion photo-graphs and applying the perspective of simulacre when creating artworks can be a way to obtain rich qualitative data in the future.

• Human Ecology Research
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• v.52 no.1
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• pp.21-31
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• 2014

The purpose of this study was to analyze the types and meanings of calligraphy presented in modern fashion design. Calligraphy refers to beautiful handwriting or fine penmanship in the West, and handwriting with brushstrokes in the East. The expression patterns being used at present can be divided into three categories. Legible calligraphy is focused on readability more than embellishment. Decorative calligraphy places its importance on decoration at the expense of practicality. The third type, harmonious calligraphy, pursues decorativeness and legibility at the same time. Each of these types of calligraphy is expressed in modern fashion with its own purpose: calligraphy for conveying emotional messages, calligraphy as a special brand image, and calligraphy as an expression of formativeness. The first, calligraphy for conveying emotional messages, is used with characters that are familiar to the public. Calligraphy of this type delivers messages confined emotionally to the conscious world, harmonizing calligraphy with words, or expressing readability filled with purity and delight. Second, calligraphy as a special brand image refers to transmitting a distinctive brand image from other companies through employment of a design motive or pattern by expressing the brand logos or names of designers. Third, calligraphy as a expression of formativeness has the function of shaping expressions as motives or patterns, avoiding meanings of words or phrases. It can be represented by the abbreviation or modification of words, or arranging words in different shapes, harmonizing the words with the clothing construction and atmosphere of the other images.