• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.4
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• pp.99-111
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• 2012

This study intends to explore the collaborative expression in the modern fashion design by analyzing the collaboration of motifs symbolizing Korean cultural identity. As for the data research, in order to examine the expressional objects of collaboration in the collections of the fashion designers from Korea and overseas who have applied the Korean culture among their collections posted on the Internet sites, www.firstview.com, and www.style.com from 2005 to 2012 were collected for analysis. 923 pictures used in the analysis sheet. As for the research method, the content analysis method was used. In the modern fashion design, the collaborative expression in the motifs symbolizing Korean cultural identity are limited to tangible expression, intangible expression, integrated expression. The results of this study were as follows. First, in the tangible expression, traditional tangible assets are used in the shapes, items, colors, materials, patterns and details to symbolize uniquely Korean image. The intangible expression, the applicability for Korean intangible assets include the master's (intangible cultural assets) and the craftsmanship of the modern designers being collaborated onto the contemporary customs to express the Korean traditional culture in a realistic or an abstract trend. The hybride expression, it is to represent Korean thoughts and values using the tangible elements. Second, The expressivity of collaboration of each year mostly shows integrated expression, intangible expression and tangible expression were shown respectively. The trend of seasonal collaboration expressivity was muchly the integrated expression in most seasons, and intangible expression and tangible expression followed respectively. It is recognizable that the expressivity of collaboration of each designer was; integrated expression was muchly shown in Lie Sang Bong and Lee Young Hee's works, Duri Jung showed much of intangible expression, and much tangible expressivity was shown in Carolina Herrera.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.3
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• pp.400-412
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• 2020

The "genderless fashion" style adopted by 20 to 30-year-olds in Korea cannot be ignored in the consumer fashion code. This study investigated self-images of Korean genderless fashion consumers through in-depth interviews. Interview analyses confirmed that Korean genderless fashion consumers express their self-image through clothing. As the theoretical framework, this study used Lacan's concept of desire to classify the types of self-image consumers want to express. The results are classified into three subject types: those who pursue self-fulfillment, those who pursue fulfillment from others, and those who pursue endless fulfillment through a self-image. This reflects various factors and the subjects' desires. Further, a subject's desire to present a specific self-image was an important factor in understanding the genderless fashion style. The study results revealed that modern fashion is an "unconscious" field of self-expression that crucially reflects individual desires. The study also contributes to the understanding of the concept of self-image at large.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.492-497
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• 2009

Computer-Generated Hologram (CGH) is made for three dimensional image of a virtual object. Error diffusion method is used for the phase quantization of CGH, and it is known to be effective to the image quality improvement of the reconstructed image. However, the image quality of the reconstructed image from the CGH using error diffusion method depends on the selection of error diffusion coefficient. In this paper, we derived the relational expression to obtain the error diffusion coefficient from the position of the input object and size of the input object for CGH. As a result, the method of this thesis was able to obtain an excellent reconstructed image compared with the case to derive the error diffusion coefficient from only the position of the input image.

• Journal of Fashion Business
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• v.11 no.6
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• pp.62-74
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• 2007

This study aims at applying the body image, self-image and costume image, which is completed as harmony of hairstyle according to 14 occupational types to be help at in time of image creation. It made a survey of 5,658 women living in Seoul. The result of response showed that a sandglass type and rectangular type is highest in a form suited to the body image for educational employees, public officials, business employees, service workers, office workers, financial employees, university students who are majoring in beauty), beauty artists and entertainers, and for police officers, housewives, medical service workers, university students who aren't majoring in beauty, respectively, which there is the difference by occupational group. But there is no difference from a point of view that many women of our country are much alike in a form.

• Journal of the Semiconductor & Display Technology
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• v.18 no.3
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• pp.31-35
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• 2019

Human beings have been fascinated by the applicability of the medium of photography since the device was first introduced in the thirteenth century to acquire images by attempting primitive and rudimentary approaches. In the 21st century, it has been developed as a wide range of technology that enables not only the application of artistic expression as a method of replacing the human-hand-painted screen but also the planar recording form in the format of video or image. It is more effective to use the information extracted from the image data rather than to use a randomly given file name in order to provide a variety of services in the offline or online system. When extracting an identifier from a region of an image, high cost cannot be avoided. This paper discusses the image entropy-based approach and proposes a linear methodology to measure the image entropy in an effort to devise a solution to this method.

• Journal of the Korean Home Economics Association
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• v.49 no.7
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• pp.111-122
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• 2011

This qualitative case study examined what type of clothing image middle aged housewives strive for, and how to classify the preferred clothing style. Secondly, we examined how their clothing image corresponded to age and observed the meaning of such changes over time. The participants of this study were eight middle aged housewives. This study was conducted through in-depth interviews that were based on an unstructured questionnaire, and the data were collected from January to October 2010. The results were as follows: First, result related to preferred clothing image implicated fashion, esthetic sense, and clothing concerns. Preferred clothing image fell into 'intelligent-colorful' and 'urban-neat' categories. The preferred clothing style types of the participants were labeled as 'trendy', 'classic', 'conservative', and 'unique'. Second, the clothing image that participants thought to be of greater value in middle age included 'graceful' and 'elegant' allowing for the expression of age-appropriate style, high quality, and mind of plenty.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2003.10a
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• pp.170-177
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• 2003

Gene expression data are the quantitative measurements of expression levels and ratios of numberous genes in different situations based on microarray image analysis results. The process to draw meaningful information related to genomic diseases and various biological activities from gene expression data is known as gene expression data analysis. In this paper, we present a hierarchical clustering method of gene expression data based on self organizing map which can analyze the clustering result of gene expression data more efficiently. Using our proposed method, we could eliminate the uncertainty of cluster boundary which is the inherited disadvantage of self organizing map and use the visualization function of hierarchical clustering. And, we could process massive data using fast processing speed of self organizing map and interpret the clustering result of self organizing map more efficiently and user-friendly. To verify the efficiency of our proposed algorithm, we performed tests with following 3 data sets, animal feature data set, yeast gene expression data and leukemia gene expression data set. The result demonstrated the feasibility and utility of the proposed clustering algorithm.

• Archives of design research
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• v.20 no.1 s.69
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• pp.219-228
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• 2007

Printing advertisement is aggregate of commercial information communication text consisted of image sign and language sign. This means that verbal tabor through visual stimulation and character is mixed and passes information through picture. Typography is process that visualize verbal appeal in printing advertisement. Therefore study about typography is very important for a visual expression element in printing advertisement. Typography expression of Korean printing advertisement accomplished fast qualitative growth after 2000 flowing the 1990s. This study makes that typography expression propensity of Korean printing advertisement after 2000 of changed of expression structure, changed of expression rule, changed of expression method etc. Accordingly, extracted each three analysis bases. And this study presented expansive direction of typography expression of printing advertising in case studies.

• Journal of Information Processing Systems
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• v.17 no.3
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• pp.556-570
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• 2021

The existing video expression recognition methods mainly focus on the spatial feature extraction of video expression images, but tend to ignore the dynamic features of video sequences. To solve this problem, a multi-mode convolution neural network method is proposed to effectively improve the performance of facial expression recognition in video. Firstly, OpenFace 2.0 is used to detect face images in video, and two deep convolution neural networks are used to extract spatiotemporal expression features. Furthermore, spatial convolution neural network is used to extract the spatial information features of each static expression image, and the dynamic information feature is extracted from the optical flow information of multiple expression images based on temporal convolution neural network. Then, the spatiotemporal features learned by the two deep convolution neural networks are fused by multiplication. Finally, the fused features are input into support vector machine to realize the facial expression classification. Experimental results show that the recognition accuracy of the proposed method can reach 64.57% and 60.89%, respectively on RML and Baum-ls datasets. It is better than that of other contrast methods.

• International Journal of Contents
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• v.9 no.4
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• pp.30-34
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• 2013

Internet banner advertisement has become recognized as an important media, and its influence has been increasing. The merits of Internet banner advertisement are diversity and consumer immersion. Especially, by using various types and visual expression methods, the automobile Internet banner advertisement has evolved into what attracts curiosity and interest of potential consumers. Thus, to find efficient communication method for automobile Internet banner advertisement, this study, by comprehensively analyzing various advertisement methods in previous researches, suggested an advertisement type and a visual expression method suitable to automobile Internet banner advertisement. Four types of automobile Internet banner advertisement are production form, production purpose, expression form, and advertisement area. Four visual expression methods are action form, image, change form, and moving form. And, through case analysis, this study also examined the value of the newly suggested method.