• 복식문화연구
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• 제14권5호
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• pp.790-801
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• 2006

This study analyzed features of elements that compose a logo of inner wear brands to get the following results: First, it was found that "elegance" was the most frequently used word to express the concept of inner wear brands to be followed by words like dignity, high-end and aristocratic, words emphasizing femininity, such as feminine, romantic and sexy, words emphasizing practicality, such as convenient, practical, modern, functional and reasonable, and words emphasizing hygiene, such as clean, healthy and hygienic. This suggests that consumers nowadays pursue image more than functional aspects in the shopping of inner wear and consumers' pursuit of such values is reflected in the concept of inner wear brands. Second, unlike logos for outerwear brands that generally used initials of brand name, word-type logos for inner wear brands used the full name of brands, thus suggesting that they put more emphasis on delivery of information rather than on the symbolic aspect. In case of combining characters with concrete objects, they were found generally to use objects that give an soft, elegant and feminine image, such as flowers, woman's head and ribbons. Third, colors in the series of pink and red seemed to be used to convey the concept of inner wear brands that pursue such images as romanticism, femininity, elegance and sensibility, while colors in the series of blue, black and grey for such concepts as functionality, practicality, simplicity, health, hygiene and refinement. With reference to typeface used in the design of logos, unlike outerwear brands of which 83% use sans serif typeface for logos, relatively high percentage of inner wear was found to use typefaces of serif series to stress feminine flexibility and delicacy and give the image of elegance and classical tenderness. With reference to language used in logo naming for inner wear brands, 33 brands were found to use English and only three brands used Korean among the 36 brands surveyed. Even with inner wear brand logos that have Korean name, it was found that they used English in the use of logo marks. Like the result of previous studies, the result of this study indicates that methods to design brand logos for clothing should be incessantly sought in a way to build brand power as an important component to represent concept or function of brands and reinforce brand image.

• 인문언어
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• 제8집
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• pp.79-93
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• 2006

The modern play is going through a change that is differentiating it from the plays of yesterday. The importance of narration through language, specifically that of words spoken on stage as a means of communication is being replaced by images and minimalism of words. The narration that depended on spoken words today depends more on the images that are conjured on stage. This movement shows also the very development of stage and its craft in the domain of theater and especially holds true in the avant-garde theaters of today. The avant-garde theater, in trying to duplicate the reality does not confine itself to oratory rhetorics that we see in the traditional plays of the past but expresses itself by mimicking the reality to the utmost possible.

• 패션비즈니스
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• 제8권3호
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• pp.49-58
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• 2004

In the modern society, already a popular and public part of fashion, hair coloring has the effect of optical illusion on image. This study therefor aims to reveal the effects of varied and fashionable hair coloring on the body images. This is a combination of an actual examination and an experimental study. In order to know the effects of hair colors on body image, 230 female collegians residing in Busan were given a questionnaire on the reality of hair dyeing. Based on the actual research, one subject was selected and stimuli were manufactured. The analysis and examination of the effects of hair dyeing have produced the following conclusions. (1) As a result of dispersion analysis about the image effect according to hair colors, a meaningful difference is recognized in the item and indicates that hair color variation influences the image effect. (2) As a result, extracting the factors that hair colors can influence the image, 3 factors were extracted. The first factor is an intellectual image, the second factor is an active image, and the third factor is a comfortable image. (3) Image effect in hair colors are as same next. Red and Orange color clearly indicate the image of 'charismatic', 'lively', 'positive', 'active', 'light' and 'gorgeous'. Blue and Green color indicates the image of 'unfriendly', 'hard', 'cold' and 'uneasy'. White color indicates the image of 'unfriendly', 'charismatic', 'gorgeous' and 'impure' then Black color has images of 'friendly', 'intellectual', 'indignified' and 'pure'. In other words, the result indicates rather a different tendency comparison with the general color image.

• 복식
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• 제22권
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• pp.119-134
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• 1994

The study was proposed to establish the effective color image planning and to suggest the color combination data for clothing through historic costume. To test the suggested method The Color Image Scale developed in Japan was adapted, For the practical study 21 fashion illustrations of Art Deco period (1910-1930) were selec-ted. Color images analysed from these illustrations were seleted with the key words extracted from political economical social background and art of Art Deco period. Three of the image categories clear modern and dynamic were sutable to express the images of this period. The image categories representing color image of Art Deco costume were dynamic modern classic, casual, clear, nature and gorgeous.

• 디지털산업정보학회논문지
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• 제16권1호
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• pp.55-65
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• 2020

With the development of display hardware, image interpolation techniques have been used in various fields such as image zooming and medical imaging. Traditional image interpolation methods, such as bi-linear interpolation, bi-cubic interpolation and edge direction-based interpolation, perform interpolation in the spatial domain. Recently, interpolation techniques in the discrete cosine transform or wavelet domain are also proposed. Using these various existing interpolation methods and machine learning, we propose decision tree classification-based image interpolation methods. In other words, this paper is about the method of adaptively applying various existing interpolation methods, not the interpolation method itself. To obtain the decision model, we used Weka's J48 library with the C4.5 decision tree algorithm. The proposed method first constructs attribute set and select classes that means interpolation methods for classification model. And after training, interpolation is performed using different interpolation methods according to attributes characteristics. Simulation results show that the proposed method yields reasonable performance.

• International Journal of Contents
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• 제11권2호
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• pp.20-30
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• 2015

We propose a new method that specifies objective image quality factors by evaluating an image quality measurement model using random images. In other words, No-Reference variables are used to evaluate the quality of an original image without using any reference for comparison. 1000 portrait images were collected from a web gallery with votes constituting over 30 recommendation values. The bottom-up data collecting process was used to calculate the following image quality factors: total range, average, standard deviation, normalized distribution, z-score, preference percentage. A final grade is awarded out of 100 points, and this method ranks and grades the final estimated image quality preference in terms of total image quality factors. The results of the proposed image quality evaluation model consist of the specific dynamic range, skin tone R, G, B, L, A, B, and RSC contrast. We can present the total for the expected preference points as the average of the objective image qualities. Our proposed image quality evaluation model can measure the preferences for an actual image using a statistical analysis. The results indicate that this is a practical image quality measurement model that can extract a subject's preferred image quality.

• 인지과학
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• 제6권1호
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• pp.47-71
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• 1995

글자의 이중상으로 인한 심리적 혼란감을 '글자멀미'라 정의하였고,눈운동 및 글자 인식 과정이 교란될 때 글자 멀미가 발생한다는 가설을 검증하기 위하여 자극의 노출시간과 글자의 친숙도가 글자 멀미에 미치는 효과를 측정하였다.글자 멀미는 자극 노출 시간이 50ms,100ms,3000ms로 길어짐에 따라,덜 친숙한 외국 문자보다는 친숙한 한글에서 유의미한 단어보다는 무의미한 단어에서 큰것으로 나타났다.이러한 실험발견은 이중상을 제거하려는 눈 운동이 실효를 거두지 못함에 따라 글자 멀미가 발생한다는 것,친숙한 글자일수록 글자 인식 과정의 개입을 더 강화하며 그결과 이중상에 의한 교란 효과가 증폭된다는것,글자 형태는 친숙하지만 의미추출이 어렵게 되면 이중상의 교란효과가 가중된다는 것을 암시한다.의미를 처리하는 경향이 클수록 이중상에 의한 글자 멀미가 심해진다는 가설을 좀 더 분명히 검증하기 위하여 여섯 개의 점으로 구성된 점자를 시각적으로 인식하도록 피험자들을 학습시킨 결과,학습율이 증가함에 따라 글자 멀미가 증가하는 것으로 나타나, 하나의 자극을 의미있는 상징으로 취급하여 해석하려 할때 글자멀미가 증가한다는 결론을 얻었다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅲ
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• pp.1487-1490
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• 2003

This paper shows the watermarking system that inserts copyright holder's logo in music file. In other words, a sound file is able to have an image information like a logo or letters. The watermarking system converts a sound file into an image file using spectrogram. In the spectrogram domain, a logo is inserted using spread spectrum. The proposed technique shows that the verification of copyright is better than the method using PN-Sequence.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제16권2호
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• pp.104-110
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• 2016

Dense local image descriptors like SIFT are fruitful for capturing salient information about image, shown to be successful in various image-related tasks when formed in bag-of-words representation (i.e., histograms). In this paper we consider to utilize these dense local descriptors in the object tracking problem. A notable aspect of our tracker is that instead of adopting a point estimate for the target model, we account for uncertainty in data noise and model incompleteness by maintaining a distribution over plausible candidate models within the Bayesian framework. The target model is also updated adaptively by the principled Bayesian posterior inference, which admits a closed form within our Dirichlet prior modeling. With empirical evaluations on some video datasets, the proposed method is shown to yield more accurate tracking than baseline histogram-based trackers with the same types of features, often being superior to the appearance-based (visual) trackers.

• 방송공학회논문지
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• 제9권2호
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• pp.110-118
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• 2004

This paper shows that blind deconvolution has only finite solutions when an original image and a point spread function are nonzero over a restricted domain, in other words, an observed image has a compact support. The key of the proof is to use z-transformations and factorizations of polynomials. Then, we propose an algorithm to find all finite solutions under the boundary condition. Finally, we confirm that we can extract all sets of an original image and a point spread function from a degraded image by using our algorithm in numerical examples.