• Journal of the Korean Society of Costume
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• v.33
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• pp.41-54
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• 1997

The objectives of this study were to find out the relationships between clothing style pre-ferences and self-image and to examine the differences in clothing style preferences ac-cording to marital status educational level and social stratification of women. The drawings of clothing style were designed referring to the catalogues for spring/summer of 1996 and printed by computer 6 styles of suit corresponding to clothing image were selected. Style A is a brown suit decorated with scarf style B a grey suit with stripes C a yellow suit with printed pattern D a grey and beige suit E a chanel suit decorated with corsage and F a blue suit with pleated skirt. The self-image was separated to the actual self-image and the ideal self-image. Samples were 226 women(ages 18 to 37) in Seoul Korea. The results of the study were the followings. 1. Clothing images of 6 styles were estimated; Style A was plain conservative formal and gentle image ; B masculine solid actual dark and plain image; C feminine romantic bright and splendid image; D actual ordinary un-fashionable and plain image; E feminine ten-der romantic and non-active image ; F indi-vidual fshionable open casual sprightly and active image. 2. There were significant relationships be-tween clothing style preferences and realistic self-image. The women who considered them-selves as masculine preferred style B mascu-line and plain image. The women feminine and conservative preferred style E feminine and tender image. The women not to follow the fshion preferred style D ordinary and plain image. The women informal and open pre-ferred the style F casual and active image. 3. There were significant relationships be-tween clothing style preferences and ideal self-image. The women who wanted to be-tween clothing style preferences and ideal self-image. The women who wanted to be con-sidered themselves as feminine and conserva-tive preferred style E feminine and tender im-age. The women who wanted gentle and con-servative preferred style D ordinary and plain image. The women who wanted sprightly pre-ferred the style F casual and active image. 4. There were significant differences in clothing style preferences according to marital status educational level and social stratifi-cation. The women with more eduacation pre-ferred the splendid and the plain image at the same time. The upper class preferred feminine image and lower class casual and active image.

• Journal of the Korea Institute of Military Science and Technology
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• v.12 no.4
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• pp.500-507
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• 2009

This paper presents a novel method which can detect a target in IR image for active protection system. The target in IR image for the active protection system is small, moreover it moves with enormous speed. The proposed algorithm is comprised of robust clutter rejection methods and target optimized detection algorithms for small target, and an advanced method of selecting a final target position in target area, it can work in some milliseconds. The proposed algorithm provides the active protective system with more correct positions than those of radar, so that helps the active protection system can defense all threats with the utmost precision.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.10
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• pp.2650-2662
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• 2012

Due to the semantic gap issue, the performance of automatic image annotation is still far from satisfactory. Active learning approaches provide a possible solution to cope with this problem by selecting most effective samples to ask users to label for training. One of the key research points in active learning is how to select the most effective samples. In this paper, we propose a novel active learning approach based on sparse graph. Comparing with the existing active learning approaches, the proposed method selects the samples based on two criteria: uncertainty and representativeness. The representativeness indicates the contribution of a sample's label propagating to the other samples, while the existing approaches did not take the representativeness into consideration. Extensive experiments show that bringing the representativeness criterion into the sample selection process can significantly improve the active learning effectiveness.

• ETRI Journal
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• v.32 no.5
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• pp.766-773
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• 2010

Support vector machine (SVM) active learning plays a key role in the interactive content-based image retrieval (CBIR) community. However, the regular SVM active learning is challenged by what we call "the small example problem" and "the asymmetric distribution problem." This paper attempts to integrate the merits of semi-supervised learning, ensemble learning, and active learning into the interactive CBIR. Concretely, unlabeled images are exploited to facilitate boosting by helping augment the diversity among base SVM classifiers, and then the learned ensemble model is used to identify the most informative images for active learning. In particular, a bias-weighting mechanism is developed to guide the ensemble model to pay more attention on positive images than negative images. Experiments on 5000 Corel images show that the proposed method yields better retrieval performance by an amount of 0.16 in mean average precision compared to regular SVM active learning, which is more effective than some existing improved variants of SVM active learning.

• Journal of the Korean Society of Costume
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• v.45
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• pp.103-120
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• 1999

The purpose of the study is to show concretely the design features due to cltohes image after classifying the clothes image examining relations between clothes images and design factors. Samples of the study were 507 female university students. Materials of the study were 309 slide film using the spring and fall issues of magazines and catalogues in 1996 and 1997. SAS PC was used to analyze materials and finally priniciple component analysis the analysis by quantification theory 1. The results of the study were as follows. The most important images of clothes were fashion dignity activation and simplicity. In the relationship between the main image and item factor, one-piece jumper half-coat culotte skirt pantaloons and slim pants had an important effect on the fashion image while two-piece jacket, blouse, straight pants had an effect on the dignity image and three-pice, T-shirt, shirt-vest pantaloons normal pants culoote skirt and gather skirt strengthen active image. In the relationship between the main image and silhuette X-silhouette fitting upper and lower clothes upper clothes having waist line or hip bone length and mini-skirt were the factors that raisen fashion image. And in the A-, X-, Y-silhouette having normal fit upper clothes below the knee length skirt and the upper clothes below the hip line were main factors in dignity image. And H-silhouette big size sleeves mini-skirt the upper clothes below hip line were the factors that strengthened the active image. In the relationship between fashion image and detailed factors roll stand and sports collar set-in and shirt sleeves having 5-rate and long sleeves strengthened fashion image. And flat tailored collar boat and high nceckline and bow detail set-i sleeve had an important effect on the dignity image. And shirt collar boat and V-neckline shirt dolman and 7-rate sleeves were the factors that raise active image.

• The Research Journal of the Costume Culture
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• v.9 no.5
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• pp.734-746
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• 2001

The purpose of this study is to investigate the influence of women's self-image on image evaluation of clothing self-image, and on their selection of clothing styles by situations. The subject of investigation was 500 women above 20 living in Daegu. 6 types of clothing styles including classic, casual, elegant, dramatic, romantic, and mannish and 7 social situations including shopping near house, shopping in a busy street, cultural center, wedding ceremony, dinning out, alumni meeting or fraternity meeting, and couples meeting were used for this study. Data analysis was performed using SPSS package, which included factor analysis, reliability test, cluster analysis, ANOVA, and X²-test. The results are summarized as follows. 1. Adult women could be classified into 4 groups such as the passive mannish, the passive feminine, the active mannish, and the active feminine by their self-images. 2. There were different opinions on each clothing style by self-image. In the image of each clothing style by self-image groups, the passive feminine group considered classic style having effect to make people look tall, mature and elegant style to make people look active and charming. Also, they rated the boldness of dramatic style and the activeness of mannish style high. The active feminine group estimated the boldness of mannish style high. 3. Selection of clothing style differed according to various situations. More formal the situation was, more classic style tended to be selected and for less formal situation, mannish style was selected.

• Journal of Korea Multimedia Society
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• v.18 no.7
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• pp.827-833
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• 2015

In this paper, we have compared three level set-based active contour (LSAC) methods on inhomogeneous MR image segmentation which is known as an important role of brain diseases to diagnosis and treatment in early. MR image is often occurred a problem with similar intensities and weak boundaries which have been causing many segmentation methods. However, LSAC method could be able to segment the targets such as the level set based on the local image fitting energy, the local binary fitting energy, and local Gaussian distribution fitting energy. Our implemented and tested the subcortical image segmentations were the corpus callosum and hippocampus and finally demonstrated their effectiveness. Consequently, the level set based on local Gaussian distribution fitting energy has obtained the best model to accurate and robust for the subcortical image segmentation.

• Fashion & Textile Research Journal
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• v.6 no.6
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• pp.715-722
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• 2004

The social culture critics say that the current situation of the boom in pretty men happened because stereotyped notions of sex roles have changed. However, no scientific study has been done as yet to support this theory. Therefore, this study analyzed the present situation and examined it from many different points of view. I asked 600 men to fill out the questionnaire: 300 from Daegu and the other 300 from Seoul. I analyzed four 461 of them. The inner/outer image of Korean males in their 20s was analyzed into seven factors, a positive image, a progressive image, an affirmative image, a sensible image, an exemplary image, a conscious image, and an active image. The demographic result based on the inner/outer image factors showed a significant difference in ages for a sensible image, a conscious image, and an active image.

• International Journal of Precision Engineering and Manufacturing
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• v.7 no.1
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• pp.47-50
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• 2006

An active contour model has been used to detect the edges in a still image. In order to apply the active contour model to edge detection, the energy function which consists of internal, external and image energies should be defined. After defining the energy function, the edge of an object is detected through minimization of the value of the energy function. In this paper, the modified internal energy function is proposed to improve the convergence of the energy function when the active contour model is applied to the tracking of deformable objects using the greedy algorithm. In order to show the performance of the proposed energy function, experiments were carried out for the still and animated images.

• Journal of the Korean Society of Costume
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• v.64 no.5
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• pp.18-29
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• 2014

Modern male has displayed an increased desire to express their social influence and image, and the male fashion market has had to provide various styles and images to fill these needs. The current domestic menswear market, however, is unable to satisfy the needs of male consumers who have a need for diversity in a rapidly changing society; more segmented fashion images and styles are needed. The purposes of this study are to classify fashion images and to establish character of the types. This study was done by performing a literature review and a survey. This study proposed 10 categories of fashion style images. Men's fashion style is classified into the classic image, sophisticated image, urban casual image, chic modern image, mods modern image, basic casual image, ethnic image, avant-garde image, active & outdoor image, and street-kitsch image. In the case of the classic images, common in formal setting, men's formal wear is the main focus with the classic suit. The sophisticated image is that of a colorful formal wear seasoned with elegance. Urban casual image is contemporary image, and therefore is meant for city life wear. Chic and modern image conveys an urban image by seeking a simple and chic feel. Mods modern image is retro yet dandy, giving off a sense of youthfulness compared to the other classic images. Ethnic image expresses the exotic quality of folklore as the main representatives of the character casual wear. Avant garde image portrays strong character casual wear with oversized silhouettes or exaggerated details. Active & Outdoor image is leisure life wear conveying active, functional images. Street Kitsch image is men's street casual wear with graphic patterns such as pop art and graffiti. This study's significance lies in its presentation of fashion style data, which can be utilized in the design and marketing of fashion targeted to males.