• 패션비즈니스
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• 제19권1호
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• pp.122-140
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• 2015

The research is committed to inquire about the attributes of color schemes and their image, and the results are as follows : One, the preference of ranges of neon colors was explicit, and the frequency of use of neon colors distinctively diverged season by season. Two, it was observed that, with neon colors, an achromatic color scheme was a more preferred arrangement. As for chromatic colors, neutral and mid-tone natural colors were more favored since they did not tarnish the properties of neon colors and, yet, more effective exhibiting images in diversity and variety. Three, the neon color fashion generally displayed a dual image: its original classification embellished with neon colors rendering the image of powerful and futuristic sensation. Having been around since the early 2000's, the frequency and range of use of neon colors have been increasing rapidly mostly by the sports, leisure and related industries. Regardless of the fact, neon colors will be rediscovered with a variety of color schemes and expand their application.

• 한국의류학회지
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• 제44권2호
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• pp.354-368
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• 2020

Accurate and versatile image data-sets are essential for fashion AI research and AI-based fashion businesses based on a systematic attribute classification system. This study constructs a color and texture attribute hierarchical classification system by collecting fashion item images and analyzing the metadata of fashion items described by consumers. Essential dimensions to explain color and texture attributes were extracted; in addition, attribute values for each dimension were constructed based on metadata and previous studies. This hierarchical classification system satisfies consistency, exclusiveness, inclusiveness, and flexibility. The image tagging to confirm the usefulness of the proposed classification system indicated that the contents of attributes of the same image differ depending on the annotator that require a clear standard for distinguishing differences between the properties. This classification system will improve the reliability of the training data for machine learning, by providing standardized criteria for tasks such as tagging and annotating of fashion items.

• 한국정보과학회논문지:데이타베이스
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• 제33권4호
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• pp.384-395
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• 2006

항공 및 위성 사진과 같은 지형 / 지물 이미지는 대부분 비슷한 색상과 질감을 갖는다. 따라서 지형 / 지물 이미지 데이타베이스에서 질의 이미지를 정확하게 검색하기 위해서는 이미지의 형태 특정을 추출하는 것이 매우 중요하다. 본 논문에서는 지형 / 지물 이미지 검색을 위한 형태 특정 추출 방법을 제안한다. 이 방법은 이미지내 홀(hole) 이 있거나 이미지가 연결되지 않은 영역들로 구성되어 있을 경우에도 형태 특징들을 효과적으로 추출할 수 있다. 그리고 세그멘테이션 (segmentation)과 같은 특정 추출의 전처리 과정 (pre-processing) 에서 발생할 수 있는 오류에 강인하다. 본 논문에서 제안하는 방법이 기존의 방법들 보다 우수함을 다양한 이미지 검색 실험을 통해 보인다.

• 한국프랜차이즈경영연구
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• 제15권2호
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• pp.39-56
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• 2024

Purpose: Delivery food continues to grow. In the past, restaurant companies directly hired delivery workers to deliver food, but now, restaurant companies use delivery service platform companies to carry out delivery work rather than directly hiring delivery workers. Therefore, this study seeks to determine the impact of delivery food benefits in the restaurant industry on brand image, trust, and word-of-mouth intention. Research design, data, and methodology: To test the hypotheses of this study, 400 questionnaires were distributed and 340 were collected. Among these, 321 questionnaires, excluding 19 questionnaires that were answered insincerely, were used in the final analysis. Result. First, delivery food benefits were found to have a significant impact on brand image and trust. Second, brand image was found to have a significant effect on trust and word-of-mouth intention. Third, trust was found to have a significant effect on word-of-mouth intention. Conclusions: First, existing research focused on studying the attributes of delivery food in the restaurant industry, but this study studied the benefits that consumers can obtain through purchase among these attributes. Second, delivery food restaurants need to design promotions and advertisements in a way that displays coupons, points, or mileage. Third, quick delivery of orders can be a competitive advantage for delivery food restaurants.

• 감성과학
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• 제13권1호
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• pp.251-258
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• 2010

'Naturalness'의 경우 화질 평가에 있어서 중요한 요인으로 여겨진다. 'Naturalness'는 다른 감성이 부여되는 이미지의 컨텐츠에 의존하는 중요한 요인이다. The Image Quality Circle은 한 단계에 해당하는 'ness' 단계를 두 가지로 나누었다. 두 단계 중 하나는 lightness, colourfulness, hue and contrast와 같은 지각 속성을 예측하는 단계이다. 다음 단계는 이미지의 컨텐츠에 따른 SSE를 찾는 단계이다. 이 연구에서 이미지들은 TV장르로 분류해 놓았다. 각각의 이미지들은 lightness, colourfulness, hue and contrast를 단계별로 변형시켰다. 각 변형된 이미지의 화질 점수와 SSE의 점수를 실험 참가자들에게 물었다. 정성적 항목에 7 점 단계의 정량적 평가를 실시하였다. 각 장르에 따른 세 가지 SSE를 변수로 이용하여 화질 평가 모델을 수립하였다. 생생함 (vividness)은 모든 장르에 공통으로 존재하는 SSE이고 나머지 SSE들은 모두 모델에서 독립변수로 취급하였다. 그 후 색 속성을 이용하여 각 장르에 따른 생생함을 예측하는 모델을 수립하였다. 생생함은 각 장르에 따라 의미가 다르며 화질 평가와 자연스러움(Naturalness)룰 연결하는 중요한 요인이다. 각 장르마다 생생함이 다른 의미로 여겨지기 때문에 각 장르에 생생함을 최적으로 표현하는 색 속성 또한 장르마다 다를 것이다.

• 한국의류산업학회지
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• 제18권1호
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• pp.27-37
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• 2016

This study examined consumer perceptions towards outdoor wear differentiation and product attributes for outdoor wear differentiation to develop an outdoor wear differentiation strategy. It also investigated how consumer's evaluated product attributes according to consumer's demographic characteristics. Data were acquired from a survey of 454 adult respondents aged over 20 that was analyzed with descriptives, frequency, t-test, one-way ANOVA, factor analysis, and reliability. The results were as follows. First, it showed that consumers did not have a positive or a negative perception toward outdoor wear differentiation, and they thought outdoor wear should be differentiated. Those married and older tended to think that outdoor wear should be differentiated more than that for those single and younger. Consumer evaluations were significantly different on the necessity of outdoor wear differentiation according to age and total income. Second, consumers assessed that color, pattern and textiles had similar characteristics among outdoor wear brands; in addition, brand recognition and brand image had very different characteristics. Third, product attributes for outdoor wear differentiation were service and store, product quality, brand and popularity, and product designs with mean values of product quality, product design, service and store, and brand and popularity, respectively. Fourth, consumers were significantly different in the importance assessment of product attributes for differentiation according to gender, marital status and age.

• Communications for Statistical Applications and Methods
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• 제30권6호
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• pp.589-603
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• 2023

Deep generative models target to infer the underlying true data distribution, and it leads to a huge success in generating fake-but-realistic data. Regarding such a perspective, the data attributes can be a crucial factor in the data generation process since non-existent counterfactual samples can be generated by altering certain factors. For example, we can generate new portrait images by flipping the gender attribute or altering the hair color attributes. This paper proposes counterfactual disentangled variational autoencoder generative adversarial networks (CDVAE-GAN), specialized for data attribute level counterfactual data generation. The structure of the proposed CDVAE-GAN consists of variational autoencoders and generative adversarial networks. Specifically, we adopt a Gaussian variational autoencoder to extract low-dimensional disentangled data features and auxiliary Bernoulli latent variables to model the data attributes separately. Also, we utilize a generative adversarial network to generate data with high fidelity. By enjoying the benefits of the variational autoencoder with the additional Bernoulli latent variables and the generative adversarial network, the proposed CDVAE-GAN can control the data attributes, and it enables producing counterfactual data. Our experimental result on the CelebA dataset qualitatively shows that the generated samples from CDVAE-GAN are realistic. Also, the quantitative results support that the proposed model can produce data that can deceive other machine learning classifiers with the altered data attributes.

• 농촌계획
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• 제12권2호
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• pp.1-9
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• 2006

Current environmental problems of rural area are connected to loss of rural functions which is food security as well as conservation of environment, balanced development of country and succession of traditional culture. To solve these problems, recent projects are focusing on social changes in rural area and conservation of rurality creating values of rural amenity resources. At this point, full implications of rurality which is the various aspects of rurality should be defined to be applied in direct plans to conserve the rurality. In this study, nine attributes of rurality are found as various meanings with adjectives included in image of rurality. For practical use of these adjectives of rurality attributes, we evaluate the list of rural amenity resources and suggested plans for conservation of rural amenity. These attributes can be used as an effective method for village plan which brings one of the attributes into relief.

• 한국의류학회지
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• 제32권10호
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• pp.1509-1521
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• 2008

The subjects of this study were middle-aged women in their 40s$\sim$50s and older women aged 60 and over who were living in Seoul and Kyonggi-do, Korea. Through studying the participants' responses to the questions regarding the attributes of apparel quality in terms of the levels of satisfaction and importance, the target consumers' demand has been studied. And, they are applied to a QFD Matrix, to find out the relationship between the attributes of product quality and the guidelines of clothing design. For this study, apparel product quality is composed of five parameters: practicality, aesthetics, brand image, ease of care and fit. For the parameters of apparel product quality, the result of this study show that product improvements are needed in fit, aesthetics and practicality(in order of importance). The level of satisfaction(how satisfied consumer feels) was marked higher in brand image than that of importance(how important it is). To review demands for the apparel product attributes of formal suits for middle-aged and older women, the priority of these attributes through QFD Matrix that shows the relationship between the attributes and dress elements emphasized by designers has been examined. Material was the most important design element in designing formal suits. The shape of the pants was the second because the harmony between the jacket and the pants is important in formal suits. These were followed by trim and color tone of the jacket.

• 디지털융복합연구
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• 제15권9호
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• pp.137-146
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• 2017

본 연구에서는 커피전문점의 애플리케이션 특성이 고객들의 재구매 의사 결정에 미치는 영향을 살펴보았다. 커피품질, 서비스 품질, 물리적 환경을 커피 전문점의 주요 서비스 품질로 고려하였고, 개인화, 유용성, 경제성, 편리함을 애플리케이션의 주요 특성으로 고려하였다. 이 애플리케이션 특성은 고객 만족과 재구매 의도 사이를 조절하는 역할을 담당할 것으로 예상하였다. 커피 전문점에 자주 방문하면서 관련 매장 애플리케이션을 가지고 있는 382명 을 대상으로 연구 모형을 검증하였으며, PLS를 활용하여 연구 모형을 분석하였다. 제안한 연구 모형은 고객 만족 분산의 48.1%를 설명하였고, 재구매 의도 분산의 41.6%를 설명하였다. 분석 결과, 개인화와 편리함은 고객들의 재구매 의사 결정에 유의한 조절 효과를 보였다. 커피 품질과 물리적 환경은 고객 만족에 유의한 영향을 미쳤지만, 서비스 품질은 고객 만족에 유의한 영향을 미치지 못했다. 브랜드 이미지는 고객 만족과 재구매 의도에 유의한 영향을 미쳤다.