• Journal of the Korean Society of Costume
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• v.54 no.8
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• pp.75-86
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• 2004

This study aims at considering and analyzing the stature of denim clothing as an ornament as well ai how aesthetic meaning and human being's mental side indwell in the development of denims. which will be proceeded in the future, from the view of contemporary culture of dressing. It is found that the stylishness expressed through denim clothing is formed on the basis of the cultures of party, drawing and disorganization, and the result of the study was as follows. Firstly, the culture of party became the source of for decoration of denim clothing, and denim clothing more glamorize women as a party-look which makes the most use of its advantage to be comfortable and able to display in various ways with splendid artificial jewelry, patchwork, dyed pattern which is elaborately embroidered. Secondly, Such culture of drawing is applied to denim clothing so that denims are expressed to make people feel more human being's warmth as being free from the existing stereotype and formality. Thirdly, the most outstanding feature of denim clothing showed in the culture of disorganization is to make the most use of vintage style as it is. This reflects an image of the culture of disorganization under postmodernism, which is free from the traditional conception of the existing dressing by destroying the original form, in the way of slashing, making a hole and tearing. That is, people can sufficiently express not only free sense of release based on postmodernism by wearing denim clothing, but also human being's intrinsic desire for restoration of humanism or human warmth with splendid decoration or various techniques such as handicraft. It can be recognized these features as the reasons, that make denim clothing place themselves as an original fashion item, by giving denim clothing technical decoration in recent years.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.233-243
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• 2016

Due to speech recognition problems in noisy environment, Audio Visual Speech Recognition (AVSR) system, which combines speech information and visual information, has been proposed since the mid-1990s,. and lip reading have played significant role in the AVSR System. This study aims to enhance recognition rate of utterance word using only lip shape detection for efficient AVSR system. After preprocessing for lip region detection, Convolution Neural Network (CNN) techniques are applied for utterance period detection and lip shape feature vector extraction, and Hidden Markov Models (HMMs) are then used for the recognition. As a result, the utterance period detection results show 91% of success rates, which are higher performance than general threshold methods. In the lip reading recognition, while user-dependent experiment records 88.5%, user-independent experiment shows 80.2% of recognition rates, which are improved results compared to the previous studies.

• The Research Journal of the Costume Culture
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• v.19 no.5
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• pp.945-956
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• 2011

The purpose for this paper is to categorize and analyze the aesthetic characteristics of graphic factors in contemporary fashion design by media source. Focused on play-instinct visual expression in contemporary fashion design and adopted media source following the way of communication design. A variety of literatures and online sites for graphic factors in contemporary fashion was studied. The standard of media source is classified as graphic media-source: photography media-source, typography media-source, illustration media-source. With this standard, expressed ways are as followings. First, graphic media-source in play-instinct expressional fashion design is mostly borrowing existed character or using designer's brand logo. Second, photography media-source in play-instinct expressional fashion design is placed photograph of social issued people in front of shirt. Third, typography media-source in play-instinct expressional contemporary fashion design is mostly expressed social messages or designer's name in brand. Fourth, illustration media-source is the best way to express play-instinct visual expression. Based on these, aesthetic characteristics of graphic factor in contemporary fashion by media source are classified as three: social words, playfulness and information transference. Frequency ratio using media source per aesthetic characteristics is different and these are able to categorize expression way and image feature. In conclusion, expressional way of graphic factors in contemporary fashion design became diverse as social and cultural changing. Frequency of graphic factor use in contemporary fashion is increased than before. This paper suggested that fashion design is one of the way of communicating with people and should be analyzed graphic factors in contemporary fashion design.

• Journal of the Korea Society of Computer and Information
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• v.15 no.4
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• pp.47-55
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• 2010

In this paper, we proposed a recognition system of smile facial expression for smile treatment training. The proposed system detects face candidate regions by using Haar-like features from camera images. After that, it verifies if the detected face candidate region is a face or non-face by using SVM(Support Vector Machine) classification. For the detected face image, it applies illumination normalization based on histogram matching in order to minimize the effect of illumination change. In the facial expression recognition step, it computes facial feature vector by using PCA(Principal Component Analysis) and recognizes smile expression by using a multilayer perceptron artificial network. The proposed system let the user train smile expression by recognizing the user's smile expression in real-time and displaying the amount of smile expression. Experimental result show that the proposed system improve the correct recognition rate by using face region verification based on SVM and using illumination normalization based on histogram matching.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.132-141
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• 2012

This paper historically sheds the new lights on the artistic worth and achievement of abstract animation in the animation genre, and presents the contemporary significance and importance of abstract animation through the study on the avant-garde characteristic and the works of abstract animation artist, including Mirai Mizue. Though abstract animation which is artists' experimental work dealing with speed and movement of image has an essential role for the development of modern visual culture and animation, it is losing meaning and value because of the commercialism and capitalism of digital contents industry. Therefore, this paper first presents that the study of experimental animation like abstract animation contributes to the diversification and improvement of digital contents industry then it discusses the effect on the contemporary digital contents industries, next analyze the historical development and comtemporary evolution of abstract animation, which is diversified from modernism to contemporary art, and finally discuss the experimental feature and expression of abstract animation.

• Journal of Korean Society for Geospatial Information Science
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• v.5 no.1 s.9
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• pp.71-80
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• 1997

This paper suggests a Map Accuracy Standards by analyzing U.S. National Map Accuracy Standards, by considering korean terrain feature and statistical error theory for paper and digital maps on the scale of 1:50,000. Map accuracy standards require horizontal accuracy to be reported as a circular error with 90% confidence level through Linear Error Probable(LEP) theory and Circular Error Probable(CEP) theory. In order to verify the proposed methodology for positioning accuracy testing, several kinds of test point were selected and tested. These test points were extracted at the centers of roads and bridges, the comers of the independent building, the edges of geographical botany, and the tops of mountains. The positioning accuracy assessment was peformed by comparing the positions of test points in digital maps generated three different sources with those acquired by high accurate GPS surveying. The digital maps were produced from aerial photographs and SPOT satellite image using analytical plotter and 1:50,000 paper map.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2004.03a
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• pp.493-498
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• 2004

The objective of the present study is to compare various conventional and recently evolved satellite image-processing techniques and to ascertain the best possible technique that can identify and position of aquaculture farms accurately in and around the Younggwang coastal area. Several conventional techniques performed to extract such information fiom the Landsat-TM imagery do not seem to yield better information about the aquaculture farms, and lead to misclassification. The large errors between the actual and extracted aquaculture farm information are due to existence of spectral confusion and inadequate spatial resolution of the sensor. This leads to possible occurrence of mixture pixels or 'mixels' of the source of errors in the classification techniques. Understanding the confusing and mixture pixel problems requires the development of efficient methods that can enable more reliable extraction of aquaculture farm information. Thus, the more recently evolved methods such as the step-by-step partial spectral end-member extraction and linear spectral unmixing methods are introduced. The farmer one assumes that an end-member, which is often referred to as 'spectrally pure signature' of a target feature, does not appear to be a spectrally pure form, but always mix with the other features at certain proportions. The assumption of the linear spectral unmxing is that the measured reflectance of a pixel is the linear sum of the reflectance of the mixture components that make up that pixel. The classification accuracy of the step-by-step partial end-member extraction improved significantly compared to that obtained from the traditional supervised classifiers. However, this method did not distinguish the aquaculture ponds and non-aquaculture ponds within the region of the aquaculture farming areas. In contrast, the linear spectral unmixing model produced a set of fraction images for the aquaculture, water and soil. Of these, the aquaculture fraction yields good estimates about the proportion of the aquaculture farm in each pixel. The acquired proportion was compared with the values of NDVI and both are positively correlated (R$^2$ =0.91), indicating the reliability of the sub-pixel classification.ixel classification.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.147-157
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• 2017

In recent years, Super-pixels have become very popular for use in computer vision applications. Super-pixel algorithm transforms pixels into perceptually feasible regions to reduce stiff features of grid pixel. In particular, super-pixels are useful to depth estimation, skeleton works, body labeling, and feature localization, etc. But, it is not easy to generate a good super-pixel partition for doing these tasks. Especially, super-pixels do not satisfy more meaningful features in view of the gestalt aspects such as non-sum, continuation, closure, perceptual constancy. In this paper, we suggest an advanced algorithm which combines simple linear iterative clustering with fuzzy clustering concepts. Simple linear iterative clustering technique has high adherence to image boundaries, speed, memory efficient than conventional methods. But, it does not suggest good compact and regular property to the super-pixel shapes in context of gestalt aspects. Fuzzy similarity measures provide a reasonable graph in view of bounded size and few neighbors. Thus, more compact and regular pixels are obtained, and can extract locally relevant features. Simulation shows that fuzzy similarity based super-pixel building represents natural features as the manner in which humans decompose images.

• 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 Institute of Electronics Engineers of Korea CI
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• v.46 no.2
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• pp.44-51
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• 2009

Text understand in natural images has become an active research field in the past few decades. In this paper, we present an automatic recognition system in Korean signboards with a complex background. The proposed algorithm includes detection, binarization and extraction of text for the recognition of shop names. First, we utilize an elaborate detection algorithm to detect possible text region based on edge histogram of vertical and horizontal direction. And detected text region is segmented by clustering method. Second, the text is divided into individual characters based on connected components whose center of mass lie below the center line, which are recognized by using a minimum distance classifier. A shape-based statistical feature is adopted, which is adequate for Korean character recognition. The system has been implemented in a mobile phone and is demonstrated to show acceptable performance.