• 복식
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• 제55권8호
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• pp.15-29
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• 2005

In these days, T-shirt is not only the simple wearing goods but also the suggestive communication, which is not showed outward as well as being intended. Also, it indicates expression of contemporary sensitive living, expression of substantial oneself, and the effective commercial promotion fer advertising fashion brand and promoting the object's sale. Following the above concept, the aim of this study is to understand the outstanding tendency of ' The T-shirt one-point graphic's functions and visual image ', which is appeared after 2001 in the fashion industry's commercial aspects. The visual image's applicative rate of the T-shirt one point graphic is the following; The best applicative rate on T-shirt one- point graphic is the visual image using the mix & match technique shown 42.8 percent applicative rate. The second one is the visual image using the typography shown 38.7 percent. The third one is the visual image using the animals and plants shown 8.5 percent. The fourth one is the visual image using the person's character shown 3.8 percent. The fifth one is the visual image using the geometry shown 2.4 percent. The least one is the visual image using the cartoon character shown 1.6 percent. On the other hand, another important function of t-shirt one-point graphic is the following; 1, The essential function as t-shirt design factor. 2, The promotional function as brand image marketing and brand advertisement. 3. The communicative function as discriminative strategy of object. 4. The achievable function as value added goods.

• 한국의류학회지
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• 제20권4호
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• pp.631-646
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• 1996

The purpose of this study was to investigate the difference of visual evaluation about silhouette image. The specific objective were; 1) to construct of silhouette image evaluation instrument using semantic differential scale for the purpose of measuring the width and length; 2) to identify the factor structure of the silhouette; 3) to test the difference of visual perception to the silhouette as the variation of width; 4) to test the difference of visual perception to the silhouette as the variation of length; 5) to test interaction effect between width and length. The major finding were; For the visual evaluation of silhouette as shoulder width variatiorl, there were significant difference in hardness and softness factor. For the hard and soft image, we should express by variation of the shoulder width. For the visual evaluation of silhouette as skirt width variation, there were significant difference in attention factor. For the attensive image, we should express by variation of the skirt width. For the visual evaluation of silhouette as skirt length variation, there were significant difference in activity factor. For the active image, we should express by variation of the skirt length.

• 디지털콘텐츠학회 논문지
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• 제14권4호
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• pp.481-491
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• 2013

본 논문에서는 영상 콘텐츠 개발에서 원천 기술로 활용되고 있는 스토리텔링 전략에 대해서 제안하고자 한다. 제안된 스토리텔링 구성 방식은 기획, 제작, 편집의 3 단계로 수행된다. 그리고 스토리텔링 전략 방식은 수사학적 비유에 기반하고 있으며 이미지 은유법, 이미지 의인법, 이미지 직유법의 세 가지 형태의 수사학적 비유로 분류된다. 연구를 위해 은유법, 의인법, 직유법을 활용한 영상 각각 1점씩 총 3점을 제작 연구하였다. 연구 결과 영상 콘텐츠는 수사학적 표현으로 영상 콘텐츠의 커뮤니케이션 활동을 위한 시각언어로서 효과를 높일 수 있는 합리적인 방법이 될 수 있었다. 이러한 결과는 다양한 비유법에 의한 영상 콘텐츠의 표현 가능성을 인식시키는데 기여할 것으로 본다. 최근 창의적인 영상 콘텐츠의 표현에 대한 관심은 증가하고 있으나 영상 콘텐츠의 창의적 발상을 위한 이론적 연구가 빈약한 실정이다. 그러므로 본 논문은 향후 창의적 영상 콘텐츠의 표현을 위한 기초 자료로서의 활용과 영상콘텐츠 연구와 지도를 위한 기초적 이론으로 기여할 수 있을 것으로 기대한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권9호
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• pp.1613-1631
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• 2011

Several metrics have been reported in the literature to assess stereo image quality, mostly based on visual attention or human visual sensitivity based distortion prediction with the help of disparity information, which do not consider the combined aspects of human visual processing. In this paper, visual attention and depth assisted stereo image quality assessment model (VAD-SIQAM) is devised that consists of three main components, i.e., stereo attention predictor (SAP), depth variation (DV), and stereo distortion predictor (SDP). Visual attention is modeled based on entropy and inverse contrast to detect regions or objects of interest/attention. Depth variation is fused into the attention probability to account for the amount of changed depth in distorted stereo images. Finally, the stereo distortion predictor is designed by integrating distortion probability, which is based on low-level human visual system (HVS), responses into actual attention probabilities. The results show that regions of attention are detected among the visually significant distortions in the stereo image pair. Drawbacks of human visual sensitivity based picture quality metrics are alleviated by integrating visual attention and depth information. We also show that positive correlation with ground-truth attention and depth maps are increased by up to 0.949 and 0.936 in terms of the Pearson and the Spearman correlation coefficients, respectively.

• 패션비즈니스
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• 제13권6호
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• pp.137-146
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• 2009

This study analyzed hierarchy of image for visual evaluation of flare skirt. This study analyzed expression words about flare skirt with frequency data of image expression words with different length and volume of flare. Stimuli for the study were set to be 4 different volume of flare ($90^{\circ}$, $180^{\circ}$, $270^{\circ}$, $360^{\circ}$) and 3 different length of skirt(48cm, 58cm, 68cm). Stimuli were made by using I-Designer which is Virtual Sewing System. From simulation of flare skirt, the subjects were asked to write down suggested adjective freely and selected 210 adjectives. With this, we chose total 38 adjectives considering frequencies in the pre-study. And we analyzed the combination process of expression words according to construction factor of flare skirt and hierarchy of image from dendrogram which was resulted by hierarchical cluster analysis. 'Feminine' got high score in all 12 flare skirt. When the skirt was short, it was vivid, and as the skirt got longer, ordinary and pure image showed. Also, as the volume of flare got larger, the average of visual effect was higher than visual image. Visual hierarchy construction according to construction factors of flare skirt could be divided into visual image and visual effect, and visual image was shown to be form 'A type - large volume of flare and short skirt length', 'H type-small volume of flare and short skirt length' and 'X type - large volume of flare and long skirt length'.

• 감성과학
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• 제11권3호
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• pp.339-356
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• 2008

The purpose of this research was to identify the difference between expected and actual corporate image in the market and to verify the possibility of green-oriented corporate identity (CI) visual design as a useful method for communicating with consumers. In addition, this research suggests how green-oriented CI visual design can effectively convey corporate image to consumers. The methods of research used to achieve this aim were case studies and questionnaire surveys. In regard to the results, the difference between consumers'perceived favourable corporate image and companies' expectation about corporate image was found. Moreover, the results show that green-oriented visual identity (VI) design can improve corporate image. In turn, the gap between the expected and actual perception of corporate image can be decreased through green-oriented design. Based on these results, a method of effective development for green-oriented VI design is recommended.

• 복식문화연구
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• 제13권5호
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• pp.777-789
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• 2005

Mix & Match Visual Image, appearing in T-shirt one-point graphics, is a new visual image emerged as a result of several trends: development of cutting-edge machinery and computer programs, various needs of consumers, and an international trend of fusion concept. Thus, a concrete research of Mix & Match Visual Images is demanding. This paper studies one-point graphic, which appeared in the SamsungDesignNet, Interfashion Planning, and firstviewkorea, with a focus on apparel T-shirt of women's wear and casual wear from 2001 to 2004. The study shows that the most preferred independent visual image in Mix & Match Visual Images is a typography, and next is in the order of marks, symbols, geometric diagrams and abstract shapes, animals and plants, characters, materials, and collages. As Mix & Match of independent visual images was mainly combined typography with other independent visual images, we need to develop more Mix & Match Visual Images using various independent visual images's mix and match. Then, T-shirt will be one of the most representative items in Korean fashion trend that enable consumers to express their characters, escaping from the old-fashioned concept that T-shirt is just a T-shirt.

• 반도체디스플레이기술학회지
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• 제18권4호
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• pp.57-61
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• 2019

Nowadays, portable digital cameras such as smart phone cameras are being popularly used for entertainment and visual information recording. Given a database of geo-tagged images, a visual location recognition system can determine the place depicted in a query photo. One of the most common visual location recognition approaches is the bag-of-words method where local image features are clustered into visual words. In this paper, we propose a new bag-of-words-based visual location recognition algorithm using time-series streetview database. The proposed algorithm selects only a small subset of image features which will be used in image retrieval process. By reducing the number of features to be used, the proposed algorithm can reduce the memory requirement of the image database and accelerate the retrieval process.

• 지능정보연구
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• 제13권4호
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• pp.79-90
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• 2007

영상의 품질을 측정하는 것은 영상처리에서 매우 중요한 문제이다. 지금까지 영상 품질을 측정하기 위한 다양한 방법들이 제시되었고, 이들은 수학적인 관점에서 영상의 품질을 적절히 표현해주고 있다. 그러나, 수학적인 측정과 인간의 시각에 의해서 측정되는 품질은 서로 다를 수 있고 영상이 전달되는 최종 대상체는 인간의 시각이기 때문에 이를 고려한 영상품질 측정 방법이 필요하다. 본 논문에서는 사람의 시각적 특성을 고려하여 영상 품질을 측정할 수 있는 통계적 방법을 제시하였다. 사람의 시각은 영상의 전체적인 품질을 판단하면서도 국부적인 위치에서의 품질을 판단하며, 전체적인 영상의 품질보다는 국부적인 위치에서의 품질이 시각적인 영상품질 판단에 미치는 영향이 크다. 본 논문에서는 영상을 세그먼트화하고 각 세그먼트화된 영상에서 얻어진 영상 품질 값에 스코어링을 하는 통계적 기법을 사용하여 시각에 의한 판단과 유사한 결과를 얻었다.

• 로봇학회논문지
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• 제16권3호
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• pp.238-244
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• 2021

Image mosaicking is a common and useful technique to visualize a global map by stitching a large number of local images obtained from visual surveys in underwater environments. In particular, visual inspection of underwater structures using underwater robots can be a potential application for image mosaicking. Feature-based pairwise image registration is a commonly employed process in most image mosaicking algorithms to estimate visual odometry information between compared images. However, visual features are not always uniformly distributed on the surface of underwater structures, and thus the performance of image registration can vary significantly, which results in unnecessary computations in image matching for poor-conditioned image pairs. This study proposes a pairwise registrability measure to select informative image pairs and to improve the overall computational efficiency of underwater image mosaicking algorithms. The validity and effectiveness of the image mosaicking algorithm considering the pairwise registrability are demonstrated using an experimental dataset obtained with a full-scale ship in a real sea environment.