• Title/Summary/Keyword: Image Emphasize

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The Sociocultural Value Research of Man Image and Make-up in Media (미디어에 나타난 남성의 이미지와 메이크업의 사회문화적 가치 분석)

  • Kim, Hye-Kyun;Park, Myung-Hee
    • Journal of Digital Convergence
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    • v.11 no.4
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    • pp.449-457
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    • 2013
  • This study seeks to find the sociocultural value which influences the man image and make-up in media. It helps to gain the effective data that suggest the application of male make-up in promoting development of market. The man emphasizes the practical value which is the technical and instrumental value to express the man image rationally, aesthetic value to pursue aesthetic purely and symbolic value which is a volitional and intentional value experienced in the history and society to express preferring man images as the society is changed. As analysing the man image based on sociocultural value, the practical value of men's make-up is to maximize the utility vale in order to deliver a clear image considering their activity range, environment, and situation. Second, the aesthetical value of men's make-up is to emphasize femininity through women's make-up technic. Third, the symbolic value of men's make-up is to deliver a concept or intentionally create an image by maximizing overall characteristic image. It will be hopefully valuable as a basic data for developing make-up products and setting trend for men as well as for future studies.

An Analysis of the Image of Domestic Men's Outdoor Wear (국내 남성 아웃도어 웨어에 나타난 이미지 분석)

  • Yoo, Hyun Jeong;Kim, Jeong Mee
    • Fashion & Textile Research Journal
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    • v.18 no.4
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    • pp.399-411
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    • 2016
  • This research reviewed the developmental process of domestic outdoor wear and later analyzed the images given out by men's outdoor wear. The research results are as follows. First, military supplies left by American soldiers were dyed or reformed and then worn, and daily wear were mainly worn in the 1960s. Wears made from light and waterproof materials were worn and equipments were used in the 1970s. High functioning materials which allowed simultaneous breathability, waterproof and thermal insulation functions were used for wears in the 1980s. For the jacket especially, functionality was enhanced sith zippers, snaps and velcro to prevent cold air penetration in the 1990s. Florescent piping decorations and logo decorations, and prints and colors which reflected the trend, were used to emphasize fashionity and decorativeness in the 2000s. Second, Sophisticated image emphasized urban feeling with toned-down windbreaker jackets without much detail, with down jacket and pants. Casual image expressed a relaxed feeling with windbreaker jacket, shirts, jumper, vest and pants made of cotton, mesh knit and denim. Active image emphasized functionality by brightly colored windbreaker jackets, down jacket and pants. Ethnic image expressed an exotic mood with windbreaker jackets with stylized prints, with jumper, down jacket and pants. Military image showed a strong masculine feeling with jackets adorned with epaulettes, khaki colors and camouflage prints, with jumper, T-shirts, vest, shorts and pants. Avantgarde image exuded an experimental and unique feeling with jackets made of various colors and materials, such as cotton, jersey and glossy materials, with down jacket and jersey pants.

An Automatic Object Extraction Method Using Color Features Of Object And Background In Image (영상에서 객체와 배경의 색상 특징을 이용한 자동 객체 추출 기법)

  • Lee, Sung Kap;Park, Young Soo;Lee, Gang Seong;Lee, Jong Yong;Lee, Sang Hun
    • Journal of Digital Convergence
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    • v.11 no.12
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    • pp.459-465
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    • 2013
  • This paper is a study on an object extraction method which using color features of an object and background in the image. A human recognizes an object through the color difference of object and background in the image. So we must to emphasize the color's difference that apply to extraction result in this image. Therefore, we have converted to HSV color images which similar to human visual system from original RGB images, and have created two each other images that applied Median Filter and we merged two Median filtered images. And we have applied the Mean Shift algorithm which a data clustering method for clustering color features. Finally, we have normalized 3 image channels to 1 image channel for binarization process. And we have created object map through the binarization which using average value of whole pixels as a threshold. Then, have extracted major object from original image use that object map.

An Effective Method of Product Number Detection from Thick Plates (효과적인 후판의 제품번호 검출 방법)

  • Park, Sang-Hyun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.1
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    • pp.139-148
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    • 2015
  • In this paper, a new algorithm is proposed for detecting the product number of each thick plate and extracting each character of the product number from a image which contains several thick plates. In general, a image of thick plates contains several steal plates. To obtain the product number from the image, we first need to separate each plate. To do so, we use the line edges of thick plates and a clustering algorithm. After separating each plate, background parts are eliminated from the image of each plate. Background parts of an individual thick plate image consist of the dark part of steel and the white part of paint which is used for printing the product number. We propose a two-tiered method where dark background parts are first eliminated and then white parts are eliminated. Finally, each character is extracted from the product number image using the characteristics of product number. The results of the experiments on the various steal plates images emphasize that the proposed algorithm detects each thick plate and extracts the product number from a image effectively.

Body image distortion in fifth and sixth grade students may lead to stress, depression, and undesirable dieting behavior

  • Cho, Jin-Hee;Han, Sung-Nim;Kim, Jung-Hee;Lee, Hong-Mie
    • Nutrition Research and Practice
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    • v.6 no.2
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    • pp.175-181
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    • 2012
  • The widespread pursuit of a thin physique may have a detrimental impact on the wellbeing of preadolescents. The influence of body image distortions on the lifestyles, dieting behaviors, and psychological factors was investigated in 631 fifth and sixth grade children in Kyeonggi-do, Korea. Children were classified into three weight groups (underweight, normal, and overweight) and three perception groups (underestimation, normal, and overestimation). Necessary information was obtained by questionnaire, and each subject's weight status was determined by the Rohrer index calculated from the annual measurement records, which were obtained from the school. According to their current weights, 57.4% of children were normal and 32.2% were overweight or obese, 16.6% of the children overestimated their body weight, and 55.2% had an undistorted body image. Overweight children had desirable lifestyles and dietary habits and presented reasonable weight control behaviors. Compared to those without distortion, the overestimated group had greater interest in weight control ($P$ = 0.003) and dissatisfaction with their body weights ($P$ = 0.011), presented unhealthy reasons to lose weight ($P$ = 0.026), and had higher scores for "feeling sad when comparing own body with others" ($P$ = 0.000) and for "easily getting annoyed and tired" ($P$ = 0.037), even though they had similar obesity indices. More subjects from the overestimation group ($P$ = 0.006) chose drama/movies as their favorite TV programs, suggesting a possible role for the media in body image distortion. These findings suggest that body image distortion can lead preadolescents to develop stress about obesity and unhealthy dieting practices, despite similar obesity indices to those without distorted body images. These results emphasize the importance of having an undistorted body image.

A Study on the Sexual Images Expressed in the 21th Century Men's Fashion (21세기 남성패션에 표현된 성 이미지 연구)

  • Lee, Hyo-Jin;Kim, Hyun-A
    • Korean Journal of Human Ecology
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    • v.18 no.4
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    • pp.891-902
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    • 2009
  • The purpose of this study is to analyze sexual images in the 21th century men's fashion, including phenomenal formative changes and characteristics. Theoretical framework was developed based on literature reviews. Photo images were collected from collections presented in 2001 to 2008 on the internet sites. By focusing on sexual image. men's fashion design was analyzed. Since 21th century, men have expressed their own fashion sense and sexual image quite freely. Men's fashion has expanded its scope into region which are not exclusively of men's traditional fashion identity realm. The result of this study is as follows: First, Noble Dandyism is common among noble dandies whose desired image is luxurious, soft, and sophisticated. Second, Bisexual Caportism is another appealing 'Youth is beautiful' trend of our modern age. Beyond age and gender, modern people pay a special attention to the Caports look which aims to project an image of healthiness, dynamism, youth, and pure balanced beauty combined with fashion. Third, Macho Narcissism enjoys showing and exposing well-trained and beautiful bodies, compared to the old masculine image which was more known for expressing an authoritative and dominant strength. Fourth, Homme Fatale Vampicism seeks to accentuate deconstructed femininity and bare legs, matted make-up, long and curly hair, especially aims to emphasize sexual charms, which naturally makes its image more fascinating.

Development of the Design of Korean Policewomen's Uniforms (한국(韓國) 여성(女性) 경찰복(警察服) 디자인 개발(開發))

  • Park, Jin-Young;Yang, Sook-Hi
    • Journal of Fashion Business
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    • v.5 no.1
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    • pp.117-130
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    • 2001
  • The purpose of this research focuses mainly on the establishment of: the image of the police that can be adopted to meet the demands of reality through the development of the design of policewomen's uniform in the times that require reestablishment of the image of the police; the image of the police that is appropriate for the organic structure of the society; and the image of the police that cooperate with the citizens. For background research I have considered the police and their uniforms from a theoretical point of view and have examined the process by which Korean policewomen's uniforms have changed. Actual research was carried out policewomen of Seoul Regional Police Station, was conducted and the results were utilized to figure out what the problem was. This research suggests an improvement measure by making four suits of summer and spring-and-autumn work-uniforms, and six suits of spring-andautumn and winter full-dress uniform. First the colors of work-uniforms and full-dress uniforms are not blue, which incites a feeling of coldness and stiffness, but are colors that are feminine and emit warmth---red, ivory, khaki, black, and beige. second pure, natural fiber is difficult to wash and is not an appropriate material for policewomen's uniforms when considering its cost and etc., fabrics that are a mix of synthetic fiber and natural fiber were chosen. Because mixed fabrics are cheaper and their ability to maintain shape is superior to that of natural fiber, mixed fabric is an appropriate material for policewomen's uniforms. third the feminine image of policewomen was considered; therefore, masculine image, which is rigid and strong, was avoided and the image was expressed in a serene and beautiful way. Also slim line was added to the current uniforms to emphasize feminine beauty. The conclusion of this study is that police officers in the 21st century want to be seen as the citizens cane and benevolent volunteers that live together with the citizens, not as suppressive and powerful people.

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Femme Fatale's Fashion Image in John William Waterhouse's Works (존 월리엄 워터하우스 회화에 표현된 팜므 파탈 패션 이미지)

  • Nam, Yoon-Sook
    • Journal of the Korea Fashion and Costume Design Association
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    • v.10 no.2
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    • pp.11-25
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    • 2008
  • John William Waterhouse (1849-1917) is a painter renown for his romantic beautiful femme fatale images in the late 19th century in England. The purpose of this study is to examine the fashion in Waterhouse's femme fatale images. Waterhouse displays the devilism of femme fatale by the symbols of a wicked woman. He emphasized how wicked she is by means of water such as lake, river, and sea as well as symbols associated with demons such as forest, cave, naked woman, long hair, a monster-headed woman looking like an animal, water lily, and garden. On the other hand, he illustrates the woman's style as an image of a typical feminine beauty. Expressing naturally a fine-curved, immature girl's body with marvel-like white and clear skin in a kneeling down or crouching passive rose and depicting it as an innocent and fragile feminine image, he created a passive and lovely image of a young girl. With her eminent beauty and sex appeals, she lured men into danger. Words such as evil, women, and death had been used in describing her as femme fatale to emphasize her wickedness as well as to deliver the meaning across from the inside and to the outside. They also described her as a type of woman with body posture and fashion corresponding to the sexual ideology during the Victorian Age. His description of this fashion image was to show that femme fatale's fashion, which represents attraction and fatality, does not necessarily translate to an active fashion style that emphasizes sensuality. It also tends to minimize resistance and feelings of being threatened. Therefore, it allons us to acknowledge that even girlish body with innocent and frail-looking fashion can be a form of femme fatale, and that fashion styles is essential in forming the image of femininity.

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A Novel Fundus Image Reading Tool for Efficient Generation of a Multi-dimensional Categorical Image Database for Machine Learning Algorithm Training

  • Park, Sang Jun;Shin, Joo Young;Kim, Sangkeun;Son, Jaemin;Jung, Kyu-Hwan;Park, Kyu Hyung
    • Journal of Korean Medical Science
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    • v.33 no.43
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    • pp.239.1-239.12
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    • 2018
  • Background: We described a novel multi-step retinal fundus image reading system for providing high-quality large data for machine learning algorithms, and assessed the grader variability in the large-scale dataset generated with this system. Methods: A 5-step retinal fundus image reading tool was developed that rates image quality, presence of abnormality, findings with location information, diagnoses, and clinical significance. Each image was evaluated by 3 different graders. Agreements among graders for each decision were evaluated. Results: The 234,242 readings of 79,458 images were collected from 55 licensed ophthalmologists during 6 months. The 34,364 images were graded as abnormal by at-least one rater. Of these, all three raters agreed in 46.6% in abnormality, while 69.9% of the images were rated as abnormal by two or more raters. Agreement rate of at-least two raters on a certain finding was 26.7%-65.2%, and complete agreement rate of all-three raters was 5.7%-43.3%. As for diagnoses, agreement of at-least two raters was 35.6%-65.6%, and complete agreement rate was 11.0%-40.0%. Agreement of findings and diagnoses were higher when restricted to images with prior complete agreement on abnormality. Retinal/glaucoma specialists showed higher agreements on findings and diagnoses of their corresponding subspecialties. Conclusion: This novel reading tool for retinal fundus images generated a large-scale dataset with high level of information, which can be utilized in future development of machine learning-based algorithms for automated identification of abnormal conditions and clinical decision supporting system. These results emphasize the importance of addressing grader variability in algorithm developments.

Analysis of Effects of Image Format on Detection Performance and Resource Usage in CNN-Based Malware Detection (CNN 기반 악성코드 탐지에서 이미지 형식이 탐지성능과 자원 사용에 미치는 영향 분석)

  • Seong-hyeon Byeon;Young-won Kim;Kwan-seob Ko;Soo-jin Lee
    • Convergence Security Journal
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    • v.21 no.4
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    • pp.69-75
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    • 2021
  • Various image formats are being used when attempting to construct a malware detection model based on CNN. However, most previous studies emphasize only the detection or classification performance, and do not take into account the possible impact of image format on detection performance and resource usage. Therefore, in this paper, we analyze how the input image formats affect detection performance and resources usage when detecting android malware based on CNN. The dataset used in the experiment is the CICAndMal2017 Dataset. Subdataset extracted from the CICAndMal2017 Dataset were converted into images in four formats: BMP, JPG, PNG, and TIFF. We then trained our CNN model and measured malware detection performance and resource usage. As a result, there was no sifnificant difference between detection performance and the GPU/RAM usage, even if the image format changed. However, we found that the file size of the generated images varied by up to six times depending on the image format, and that significant differences occurred in the training time.