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패션 AI의 학습 데이터 표준화를 위한 패션 아이템 이미지의 색채와 소재 속성 분류 체계
박낭희 ( Nanghee Park ),최윤미 ( Yoonmi Choi ) 한국의류학회 2020 한국의류학회지 Vol.44 No.2
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.
박낭희 ( Nanghee Park ),최윤미 ( Yoonmi Choi ) 한국의류학회 2021 한국의류학회지 Vol.45 No.6
Accumulation of high-quality data is crucial for AI learning. The goal of using AI in fashion service is to propose of a creative, personalized solution that is close to the know-how of a human operator. These customized solutions require an understanding of fashion products and emotions. Therefore, it is necessary to accumulate data on the attributes of fashion products and fashion emotion. The first step for accumulating fashion data is to standardize the attribute with coherent system. The purpose of this study is to propose a fashion emotional classification system. For this, images of fashion products were collected, and metadata was obtained by allowing consumers to describe their emotions about fashion images freely. An emotional classification system with a hierarchical structure, was then constructed by performing frequency and CONCOR analyses on metadata. A final classification system was proposed by supplementing attribute values with reference to findings from previous studies and SNS data.
지경하(Kyoungha Ji),최윤미(Yoonmi Choi) 한국복식학회 2015 服飾 Vol.65 No.5
The aim of this research is to propose the final shirt design modified for new senior women that fulfills their emotional and physical needs. The modifications were based on the results of in-depth interviews and literature search, and the study was conducted in order to understand the desires and preferences of senior women, as consumption of outdoor-wear by the group continues to increase. To develop the design of outdoor-wear that satisfies the physical and emotional qualities and preference of the new senior women, six different designs with lines, combined materials, as well as materials that were layered, pleated and draped were proposed using virtual-dressing simulation software. Then, the modified designs were derived from the six original designs by reflecting the opinions collected in the in-depth interviews with eleven women in their 50s. The responses in the interviewed showed a preference for lines, pleats and layers, as these features made the clothes look trendy, gave it a slender-look, and improved the body shape of the women. As the color is the critical factor for outdoor-wear, there was an overwhelming preference for primary colors by the women, which was in contrast to their color preference in general clothes. A sleeve design modification was proposed to convert the half-sleeves to ¾-long sleeves in order to account for changes in body temperature at menopause, and to satisfy the aesthetic needs for covering wrinkles. Research of new senior outdoor-wear designs will help segment and differentiate strategies for the increasingly fierce competing outdoor market, as well as l provide directions in the design creation process using the simulation of 3D virtual model.