• 제목/요약/키워드: Image Expression

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현대 패션디자인에서의 콜래보레이션 표현성 - 한국적 문화콘텐츠의 응용을 중심으로 - (The Collaboration Expression in the Modern Fashion Design - Focusing on the Collaboration of Korean Cultural Contents -)

  • 이은숙;김새봄
    • 한국의상디자인학회지
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    • 제14권4호
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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.

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Korean Genderless Fashion Consumers' Self-image and Identification

  • Shin, Eun Jung;Koh, Ae-Ran
    • 한국의류학회지
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    • 제44권3호
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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.

RELATIONSHIP BETWEEN ERROR DIFFUSION COEFFICIENTS, OBJECT SIZE AND OBJECT POSITION FOR CGH

  • Nishi, Susumu;Tanaka, Ken-ichi
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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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.

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A Study on Preference Factors of Body, Self, Costume and Hairstyle Image by Occupation Type

  • Seo, Yun-Kyeong
    • 패션비즈니스
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    • 제11권6호
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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.

영상 인식자를 위한 선형 엔트로피 기반 방법론 (Noble Approach of Linear Entropy based Image Identification)

  • 박제호
    • 반도체디스플레이기술학회지
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    • 제18권3호
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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.

중년기 주부들이 추구하는 의복이미지에 관한 질적 연구 (A Qualitative Study on Middle Aged Housewives' Clothing Image)

  • 오현정
    • 대한가정학회지
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    • 제49권7호
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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.

자기 조직화 지도에 기반한 유전자 발현 데이터의 계층적 군집화 (Hierarchical Clustering of Gene Expression Data Based on Self Organizing Map)

  • Park, Chang-Beom;Lee, Dong-Hwan;Lee, Seong-Whan
    • 한국생물정보학회:학술대회논문집
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    • 한국생물정보시스템생물학회 2003년도 제2차 연례학술대회 발표논문집
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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.

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한국 광고의 타이포그래피 표현 경향 연구 - 2000년도 이후 인쇄광고를 중심으로 - (A Study on the Expression Propensity of Typography in Korean Advertisement - Focused on Printing Advertisement after 2000year -)

  • 김동빈
    • 디자인학연구
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    • 제20권1호
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    • pp.219-228
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    • 2007
  • 인쇄 광고는 이미지 기호와 언어 기호로 구성된 상업적 정보전달 텍스트의 집합체이다. 이는 그림을 통한 시각적 자극과 글자를 통한 언어적 소구가 복합되어 정보를 전달하게 됨을 의미한다. 타이포그래피는 인쇄 광고에서 언어적 소구를 시각화하는 과정이다. 따라서 인쇄 광고에서 시각적 표현 요소로서 타이포그래피에 대한 연구는 중요하다. 한국 인쇄 광고의 타이포그래피 표현은 1990년대를 거치면서 2000년 이후 급속한 질적 성장을 이루었다. 이 연구에서는 2000년 이후의 한국 인쇄 광고 타이포그래피의 표현 경향을 표현 구조의 변화, 표현 규칙의 변화, 표현 방법의 변화 등으로 밝혀 내었고, 그 분류에 따라서 각각 3가지 방향으로 특징적 분석 기준을 도출하였다. 그리고 이에 따른 사례연구를 통해 인쇄 광고 타이포그래피 표현의 발전적 방향을 제시하고 있다.

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A Video Expression Recognition Method Based on Multi-mode Convolution Neural Network and Multiplicative Feature Fusion

  • Ren, Qun
    • Journal of Information Processing Systems
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    • 제17권3호
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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.

A Suggestion of an Efficient Communication Method of Automobile Internet Banner Advertisements

  • Park, Sang-Jin
    • International Journal of Contents
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    • 제9권4호
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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.