• The Journal of the Korea Contents Association
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• v.6 no.7
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• pp.90-98
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• 2006

Digital watermarking is a technique embedding hidden information into multimedia data imperceptibly such as images and sounds. Generally an original image is transformed and coded watermark data is embedded in frequency domain watermarking models. In this paper, We propose a new color image watermarking technique using Fresnel transform. A watermark image is Fresnel - transformed and the intensity of transformed pattern is embedded into color image. In our watermarking model, an original image is converted from RGB components into YCrCb components and then the values of real number and imaginary number of a Fresnel-transformed pattern of a watermark image are embedded into Y component. The watermarking experiments were conducted to show the validity of the proposed method using PSNR value, and the results show that our method has the robustness against lossy compression like JPEG.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.3
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• pp.103-114
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• 2004

This paper deals with a system that is capable of recognizing hand-signals in 3-dimensional space. The system uses 2 color cameras as input devices. Vision-based gesture recognition system is known to be user-friendly because of its contact-free characteristic. But as with other applications using a camera as an input device, there are difficulties under complex background and varying illumination. In order to detect hand region robustly from a input image under various conditions without any special gloves or markers, the paper uses previous position information and adaptive hand color model. The paper defines a hand-signal as a combination of two basic elements such as 'hand pose' and 'hand trajectory'. As an extensive classification method for hand pose, the paper proposes 2-stage classification method by using 'small group concept'. Also, the paper suggests a complementary feature selection method from images from two color cameras. We verified our method with a hand-signal application to our driving simulator.

• Journal of the Korean Society of Costume
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• v.51 no.7
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• pp.63-73
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• 2001

The purpose of this study was to be of use for more successful prediction of possible Prevailing aesthetic characteristics in the future, by reviewing how decadent features have actually been unfolded in fashion and make-up since the end of 20th century, as we are now in the new 21st century. The decadent traits of modern fashion and make-up since the late'90s could be listed as follows : first, the fashion has intentionally been designed to look disgusting, where realistic and imaginary images coexist, by using a half-man, half-machine image or vividly describing detestable animal skin, There have also been disgusting features in the make-up, which are so extremely weird that we can created by adding vinyl or pieces of textiles like Patch of the 17th century. Second, the satanic character of the fashion seems to be meant to keep in harmony with evil image such as Dracula, witch, skeleton or warrior of the evil, in order to charge the unnatural, inhuman and fin-de-siecle Phenomenon and find out what It really means for the inner world of men. And the demonic expressions of the make-up chiefly use white or black color or blue color of low saturation or low lightness, and part of facial features is exaggerated or shortchanged. Third, the decadent characteristics are expressed in the fashion by attaching sensational ornament to the human bode or using sexual exposure. So they give unnatural, unsound and extremely erotic impressions. The decadent features in the make-up are generated by excessively using a gay red color or sensational, exciting colors. Fourth, the exoticism of the fashion is largely affected by China's Chipaoh, Japan's Kimono or primitive motives from Africa, as there are increasing interests in Asia. And that of the make-up leans toward the East, as Kabuki make-up from Japan, Kyongkeuk make-up from China or the primitive features from Africa are employed.

• Journal of the Korean Society of Costume
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• v.57 no.8
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• pp.89-98
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• 2007

Women are playing an increasing role in the society amid the increase in the age at first marriage, reduced family size, and the weakening solidarity among family members. Gold Miss is a newly coined word which reflects the change in the value of women in the wake of the individualism and pluralism amid the structural change. Gold Miss means a new X generation that is sensitive to the latest fashion and trend with high purchasing power and self-attainment goal. They do not spare any effort to invest in themselves, lead the new culture and set the cultural trend that goes beyond the simple consumption, and come into the spotlight both socially and economically. The outcome of the analysis on the Gold Miss fashion which was revealed in the mass media indicated that the fashion was the instrument to express their own images and personalities. Though they may be some difference depending on the occupation, personality, values, and others, they pursue sophisticated, intellectual, and emotional office-look that takes the trend and personality into account. In addition, they prefer business casual attire, and pursue the total fashion with perfection which uses the gorgeous bright and vivid color, daring color, accent color arrangement and accessories. The Gold Miss fashion implies the self-identity, high-end feature, and embody the symbolism of information, which the analysis on the feature and fashion of Golden Miss indicated.

• Journal of the Korea Society of Computer and Information
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• v.15 no.6
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• pp.29-35
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• 2010

While diversification of the use of video in the prevalence of cheap video equipment, augmented reality can print additional real-world images and video image. Although many recent advent augmented reality techniques, currently attempting to correct the character recognition is performed. In this paper characters marked with a visual marker recognition, and the color to match the marker color of the characters finds. And, it was shown on the screen by the character recognition. In this paper, by applying the phoneme pattern segmentation algorithm by the horizontal projection, we propose to segment the phoneme to match the six types of Hangul representation. Throughout the experiment sample of phoneme segmentation using augmented reality showed proceeding result at each step, and the experimental results was found to be that detection rate was above 90%.

• KIEAE Journal
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• v.9 no.1
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• pp.77-83
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• 2009

In this experiment, we used different addition ratio of the pigment and straw, to improve the decorative effect of the finishing touch while finding the kinds of clay colors taking on many sophisticated images, through the comparison between the various colors and textures of the surface. (1) To test the plaster material, added were the pigment of Red, Yellow, Black, and Green by the percentages of 0.5, 1, 1.5, 2, and 2.5, respectively, followed by the analysis of the color changes of the plaster material using the Photoshop (RGB). The results showed the bigger the addition ratio of the red color is, the higher the numeral values of RGB after it dried. However the brightness after drying didn't showed a big difference depending on the addition ratio. With the addition of the yellow pigment, the color difference between after and before drying was bigger in the order of Blue, Green and Red; the brightness increasingly rose while the saturation changed little. (2) When we scratched the plaster surface with U and V shape carving knives, the U knife didn't make a clean shape digging around the clay plaster material but with smooth textures, while the V knife made a clean cut, which represents its readily use in terms of the decorative function of the clay plaster. (3) In an experiment the surface texture was tested with different lengths and additions ratio of the straw, addition of 2cm straw by 1, 2, and 3% presented the most appropriate surface of the plaster.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.5A
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• pp.375-387
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• 2012

This paper proposes a new real-time object tracking algorithm using particle filters with color and texture features in moving CCD camera images. If the user selects an initial object, this region is declared as a target particle and an initial state is modeled. Then, N particles are generated based on random distribution and CS-LBP (Centre Symmetric Local Binary Patterns) for texture model and weighted color distribution is modeled from each particle. For observation likelihoods estimation, Bhattacharyya distance between particles and their feature models are calculated and this observation likelihoods are used for weights of individual particles. After weights estimation, a new particle which has the maximum weight is selected and new particles are re-sampled using the maximum particle. For performance comparison, we tested a few combinations of features and particle filters. The proposed algorithm showed best object tracking performance when we used color and texture model simultaneously for likelihood estimation.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.5
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• pp.313-322
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• 2020

A large volume of data will improve the robustness of deep learning models and avoid overfitting problems. In automatic tongue segmentation, the availability of annotated tongue images is often limited because of the difficulty of collecting and labeling the tongue image datasets in reality. Data augmentation can expand the training dataset and increase the diversity of training data by using label-preserving transformations without collecting new data. In this paper, augmented tongue image datasets were developed using seven augmentation techniques such as image cropping, rotation, flipping, color transformations. Performance of the data augmentation techniques were studied using state-of-the-art transfer learning models, for instance, InceptionV3, EfficientNet, ResNet, DenseNet and etc. Our results show that geometric transformations can lead to more performance gains than color transformations and the segmentation accuracy can be increased by 5% to 20% compared with no augmentation. Furthermore, a random linear combination of geometric and color transformations augmentation dataset gives the superior segmentation performance than all other datasets and results in a better accuracy of 94.98% with InceptionV3 models.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.3
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• pp.847-852
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• 2010

Text in natural images has a various and important feature of image. Therefore, to detect text and extraction of text, recognizing it is a studied as an important research area. Lately, many applications of various fields is being developed based on mobile phone camera technology. Detecting edge component form gray-scale image and detect an boundary of text regions by local standard deviation and get an connected components using Euclidean distance of RGB color space. Labeling the detected edges and connected component and get bounding boxes each regions. Candidate of text achieved with heuristic rule of text. Detected candidate text regions was merged for generation for one candidate text region, then text region detected with verifying candidate text region using ectilarity characterization of adjacency and ectilarity between candidate text regions. Experctental results, We improved text region detection rate using completentary of edge and color connected component.

• Journal of Fashion Business
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• v.17 no.2
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• pp.17-32
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• 2013

Throughout history, tennis-wear designers have attempted reforms to the designs, which were swayed a lot by game rules, and more efforts than ever are put forth recently. The efforts to introduce fashion designers into tennis brands and to break down the barriers between sports brands and common fashions have contributed to the advancement of tennis-wear. Howver, designers are not the only contributors to the development and innovation of tennis-wear. Tennis players who are well aware of the design make-up may affect some aspects of tennis-wear. Even some tennis players launched certain tennis-wear brands. They are not just players in games, but also innovators of this certain type of clothing. In this sense, they design, select, and put on tennis-wear as designers and players, which has contributed a lot to variation and advancement of tennis-wear. Such diversified of attempts in terms of design have led to the variety of tennis-wear, and adopting certain features of other sportswear has enhanced the functionality as well. As for materials, functional materials as well as lingerie look and laceworks as in dance looks were used, and even nude-color short pants were introduced to represent such images of fantasy and illusion. As for color as well, a revolution of color, which has been a taboo, was led. The popularity of tennis-wear fashions even leads to combination with features of other areas, which has been more diversified by the collaboration with designs inspired by toga of Greece and various other areas such as films and arts.