• Journal of Korea Multimedia Society
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• v.14 no.8
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• pp.1061-1069
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• 2011

With the development of information technology, online commercial transactions have been steadily increasing. However it is not easy to recommend the clothes in coordination with individual physical features. This paper presents a fashion coordination recommender system for women's clothes. The system includes the functionality of recommending clothes best-suited for customers in consideration of their individual physical features. It has also been designed to recommend clothes in vogue for those who are fashion-sensitive by considering the fashion trend of the times. Operated in an optional or coupling way, these functionalities of our system result in an intelligent fashion coordination system which recommends dress items to customers in various ways.

• Journal of Korea Multimedia Society
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• v.16 no.6
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• pp.708-719
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• 2013

Purchase of clothes has recently picked up pace at mobile fashion shopping malls. One of the biggest weak points is that consumers can't coordinate clothes. Since individuals increasingly want to make coordination, a fashion coordination system to satisfy the demand should be developed. As the technology of digital clothing which is about reproducing dresses using computer graphic has been activated in the fashion industry, many changes in consumers' life patterns and interests in fashion shopping malls are taking place. Some consumers are increasingly more keenly interested in shopping on the Internet and Smart phones than in offline stores. This study was conducted to understand production of iPhone-based augmented reality fashion fitting contents which is suitable for Koreans' body shape. This system is about designing and materializing UI(User Interface), an augmented reality fitting system, so that users can confirm if they look nice with those fashion items using Smart phones. A new fashion shopping method satisfying user convenience was suggested using the materialized system.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.05a
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• pp.286-292
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• 2001

본 연구의 목적은 컴퓨터 그래픽과 웹 애니매이션 프로그램을 이용하여 효과적인 패션 켜디 시스템을 개발하는데 있다. 오늘날 인터넷 패션 쇼핑몰은 마케팅의 한 수단으로서 커다란 주목을 받고 있다. 많은 옷들이 인터넷 쇼핑몰을 통하여 판매되고 있으며 더불어 매장의 디스플레이 역할을 담당하는 웹 사이트 디자인에 대한 관심도도 매우 높아지고 있다. 이러한 이유로 본 연구는 컴퓨터 그래픽 소프트웨어인 어도비사의 포토샵과 마크로 미디어사의 플래시 애니매이션을 이용하여 패션 코디 아이템을 제작하고 보다 시각적이고 효과적인 웹 이미지를 구축하려고 한다. 그 결과는 다음과 같다. 첫째, 매해 유행하는 의상의 데이터 베이스를 축적할 수 있으며 둘째, 디자인에 드는 많은 시간과 비용을 절감할 수 있고 또한 보다 쉽게 창작물의 변형과 제작이 가능하다. 셋째, 다양한 이미지 변형 기능으로 새로운 텍스타일의 개발이 용이하다. 넷째, 애니매이션과 동영상등의 멀티미디어 효과로 보다 시각적이고 흥미로운 이미지를 구축할 수 있다. 다섯째, 고객과의 보다 인터렉티브한 커뮤니케이션이 가능하다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.389-390
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• 2023

본 논문에서는 패션 매칭의 어려움을 해결해주기 위하여 '무신사' 쇼핑몰을 이용하여 크롤링하고 이를 정제한 dataset을 이용하여 패션 스타일의 핵심 요소 중 하나인 신발에 초점을 맞추어, 이미지 기반의 패션 매칭 시스템인 빅데이터 기반 패션 도우미, Shoes Navigator 를 제안한다. 이를 위해 컴퓨터 비전 및 딥 러닝 기술을 활용하여 이미지에서 의류 항목을 자동으로 감지하고, 스타일, 색상과 같은 패션 특성을 추출한다. 또한, 사용자의 개인적인 스타일을 고려하여 최적의 매칭을 제안하기 때문에 패션 코디 문제를 용이하게 해결할 수 있다.

• Journal of Korea Multimedia Society
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• v.13 no.9
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• pp.1348-1356
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• 2010

With the advancement of information and communication technology, the market of Internet-based fashion/coordination shopping malls have been considerably increasing year by year. As the number of these Internet shopping malls increases, the operators of the malls tend to decorate the first page of their websites with a variety of events and samples of the best-fit upper-lower clothing pairs. They try to provide visitors of their web sites with products that can induce fresh impression by modifying the first page on a daily or a few days basis. If pairs of best-fit upper-lower clothes for various products available in online shopping malls can be calculated and marked, it would help not only to make the first page of the malls more appealing but also to enable users to purchase linked products in a more convenient way, replacing the recommendations usually made by offline clerks. In the paper, we present the results of designing and implementing an upper-lower clothes matching system in which expert coordinators register matching-value of upper and lower clothes in the form of attribute-value matrix.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.427-428
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• 2013

패션콘텐츠의 모바일 유통을 목적으로 콘텐츠 비즈니스 모델을 설계하고자 하였으며 스마트폰 기반의 모바일 어플리케이션을 구현하였다. 단순 패션콘텐츠만을 제공하는 것이 아닌 패션콘텐츠의 활용을 높이기 위한 정보공유 방법과 사용자의 자가 코디를 지원하는 콘텐츠 직접생산, 활용 및 거래 시스템을 구현하고 사용시장의 확대를 위한 접근전략을 제시하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.313-315
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• 2019

Although Korea's fashion market has negative growth, it has been growing again since 2018. This phenomenon means that people are becoming more interested in fashion. As interest in fashion grows, people visit various community sites for reference to find a suitable coordination for themselves. Most community sites, however, are manually categorizing each garment. Not only do these tasks take a lot of time, but they also make it difficult to search for multiple clothing at the same time. In other words, I can't choose what I want at the same time, and if I choose what I want, I have to look at what the model is wearing and refer to it. The problem with this may not help because the coordination in which the model provided is worn is more likely to be the one that the user does not want. In this paper, when the image is uploaded to improve the problem, the clothing is analyzed with AI analysis model and automatically classified and stored. Therefore, not only can you search for one clothes in the existing way, but you can also search for multiple clothes at the same time. The service is expected to allow more people to easily find and refer to the code for themselves.

• Journal of Korea Multimedia Society
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• v.13 no.3
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• pp.467-474
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• 2010

The market of Internet-based fashion/coordination shopping malls have been growing rapidly year by year. In accordance with this growth, Internet fashion shopping malls are also making a lot of efforts to increase their revenue by displaying new fashion products on a high spot or by having professional models wear them to make them more attractive to the customers. If online shopping malls have the functionality of automatically calculating the matching degree of lower and upper clothes, it could play a role of off-line shop assistants and provide a more convenient way of purchasing fashion products for customers. In this paper, we present a learning system adopting the content-based filtering method for online shopping malls, which automatically calculates the matching degree of lower and upper clothes and recommends the most well-matched pair.

• Journal of Korea Multimedia Society
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• v.12 no.5
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• pp.688-698
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• 2009

The market for Internet fashion/coordination shopping malls has been enormously increased year by year. However, online shoppers feel inconvenient because most of Internet shopping malls still rely on item classifications by category and do not provide the functionality in terms of which shoppers can find clothes they want. In an effort to build a fashion/coordination system for women's dress adopting the Heuristic-based method, one of the Context-based methods, we present a method for defining characteristics of a woman's dress as attributes and their inheritance relations, which can be input by a product manager. We also compare and analyze various methods for recommending the most similar clothes.

• The Journal of the Korea Contents Association
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• v.13 no.10
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• pp.461-469
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• 2013

This research aimed to design and develop a mobile-website mixed business model and smartphone based mobile application for the purpose of mobile fashion content distribution. We have implemented a mobile interface and trading system supporting self production of content, use, share, and user's self-up. And we proposed its market access strategy for the expansion of fashion contents transactions. To do this, the existing status of research and benchmarking for mobile app of fashion contents related were studied. As a result of the study, Android, iOS-based mobile applications were developed, but there are some business problems such as low awareness, low entry barriers, and the poor fashion content compared to the size of industry. Because this system provide the fashion contents of affiliated companies to users, it needs to expand cooperation and to promote the partnership with fashion blog, cafes, and fashion magazines.