• 제목/요약/키워드: Stella McCartney

검색결과 6건 처리시간 0.023초

스텔라 맥카트니 니트 디자인에 표현된 친환경 디자인 특성 (Eco-Friendly Design Characteristics of Stella McCartney's Knit Design)

  • 이연희;박선희
    • 한국의상디자인학회지
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    • 제24권3호
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    • pp.17-31
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    • 2022
  • The purpose of this research is to suggest diverse directions for eco-friendly knit designing through analyzing the characteristics of Stella McCartney's knit designs. The first stage of the research was to explore the characteristics of eco-friendly fashion design based on literature review. The next stage was to categorize the characteristics of eco-friendly design found in Stella McCartney' knit fashion based on the precedent analysis. The data collected showed 274 examples from 40 Stella McCartney collections, including Spring, Resort, Pre-Fall, and Fall Ready-to-wear collections between 2013 and 2022. All information was collected using www.vogue.com. As a result, the characteristics of Stella McCartney's knit design were classified into four directopms: 1) Perpetual Naturalism, 2) Cultural Complexity, 3) Practical Functionality, and 4) Subcultural Reproducibility. The first characteristic, 'Perpetual Naturalism' values the continuous symbiosis between animals and human beings, thereby protecting global environmental value. Stella McCartney's knit design continuously showed a longing for nature's beauty through fashion design, which allowed people to enjoy the meaning of symbiosis between human beings and animals. Second, 'Cultural Complexity' is the characteristic that appears in Stella McCartney's knit fashion design when collaborating with various artists and/or mixing traditional knit motives inspired by traditional cultures and retro moods. Third, 'Practical Functionality' is the design characterisitic that allows items to be worn for a long time as it is comfortable, simple, and practical. Stella McCartney's knit designs pursue easy-to-wear designs that are comfortable and have practical designs with simple details. Lastly, 'Subcultural Reproducibility' showed in Stella McCartney's knit designs reflect Hippie culture, which pursued a rejection of conventional values, and promoted sustainable energy. This culture peaked in the 1960s and 1970s, when 'Beatles' were mainly working. Additionally, retro styled knit designs inspired by other various music genres from the 1980s and 1990s appeared in this category as well.

스텔라 맥카트니 패션에 나타난 비거니즘 특성 (The characteristics of veganism in Stella McCartney's fashion)

  • 이해임;이연희
    • 복식문화연구
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    • 제30권6호
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    • pp.779-798
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    • 2022
  • The purpose of this study was to propose the direction of veganism-based fashion design in environmental and animal protection through the theoretical consideration of vegan fashion and the analysis of the practical design characteristics of veganism in Stella McCartney's fashion. The research was conducted through literature research and case studies. After investigating the concept and characteristics of vegan fashion, focusing on previous studies and various fashion-related Internet data, Stella McCartney's fashion was examined with particular attention on vegan characteristics. The results of the study are as follows: First, imitative nature pursues animal and environmental protection, but the motif or appearance is a characteristic of pursuing a multi-purpose design that imitates animals and nature. Second, expression of value is based on slow fashion, simplicity, and sustainable minimal design. It is expressed indirectly by pursuing permanence, simplicity, and long-wearable design, or directly expressing vegan values through phrases expressed in performances or costumes in the collection. Third, alternative eco-friendliness is characterized by using cruelties-free materials such as faux fur, recycling materials, new bio-materials, and regenerated materials. These vegan characteristics are comprehensively and organically expressed in the works of the collection, and through this, sustainable and eco-friendly vegan fashion is pursued. It is anticipated that by deriving the vegan fashion characteristics of Stella McCartney, who represents vegan fashion, it will be possible to provide the basis for practical direction and design methods for fashion brands aiming for vegan fashion styles.

크루얼티 프리 패션 브랜드의 커뮤니케이션 성과 분석 - 브랜드 주도적 이미지와 소비자 지각 이미지에 대한 비교 - (Evaluation of communication effectiveness of cruelty-free fashion brands - A comparative study of brand-led and consumer-perceived images -)

  • 최영현;이상영
    • 복식문화연구
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    • 제32권2호
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    • pp.247-259
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    • 2024
  • This study assessed the effectiveness of brand image communication on consumer perceptions of cruelty-free fashion brands. Brand messaging data were gathered from postings on the official Instagram accounts of three cruelty-free fashion brands and consumer perception data were gathered from Tweets containing keywords related to each brand. Web crawling and natural language processing were performed using Python and sentiment analysis was conducted using the BERT model. By analyzing Instagram content from Stella McCartney, Patagonia, and Freitag from their inception until 2021, this study found these brands all emphasize environmental aspects but with differing focuses: Stella McCartney on ecological conservation, Patagonia on an active outdoor image, and Freitag on upcycled products. Keyword analysis further indicated consumers perceive these brands in line with their brand messaging: Stella McCartney as high-end and eco-friendly, Patagonia as active and environmentally conscious, and Freitag as centered on recycling. Results based on the assessment of the alignment between brand-driven images and consumer-perceived images and the sentiment evaluation of the brand confirmed the outcomes of brand communication performance. The study revealed a correlation between brand image and positive consumer evaluations, indicating that higher alignment of ethical values leads to more positive consumer assessments. Given that consumers tend to prioritize search keywords over brand concepts, it's important for brands to focus on using visual imagery and promotions to effectively convey brand communication information. These findings highlight the importance of brand communication by emphasizing the connection between ethical brand images and consumer perceptions.

럭셔리 패션 브랜드의 지속가능 매크로 트렌드 분석 (An Analysis of Sustainable Macro Trends of Luxury Fashion Brands)

  • 이호재;고은주
    • 패션비즈니스
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    • 제26권1호
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    • pp.16-29
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    • 2022
  • Environmental problems increasingly serious, and sustainability in the fashion industry has become an essential factor. Nowadays, numerous brands are engaging in sustainable fashion activities, such as recycling, vegan, fair trade, etc., which have not been done before. However, there are limited studies about sustainable fashion activities focusing on luxury brands. The purpose of this study is to establish the current status of luxury brands' sustainable fashion activities based on the macro trend of Todeschini et al(2017)'s thesis. This study selected six global luxury fashion brands Louis Vuitton, Hermes, Gucci, Prada, Burberry, and Stella McCartney. Data were collected from the brand's websites and reports, fashion magazines, and Google. As a result of the study, the following adjustments are being implemented; first, efforts are being made to reduce the consumption of natural resources. Second, transparency on working conditions is provided in various ways. Third, luxury brands' awareness of the sharing economy was not opened. Fourth, efforts are being made to develop eco-friendly materials and technologies to minimize wastage. Based on these research results, if applied as basic data for the development of Korean fashion brands and start-up companies, it will help establish directions of sustainable fashion strategies.

메트로폴리탄 박물관의 18세기 복식전시가 현대 패션에 미친 영향 연구 (A Study on the Influence of 18th Century Costumes in Contemporary Fashion)

  • 윤은재;박형애
    • 대한가정학회지
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    • 제44권1호
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    • pp.25-35
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    • 2006
  • This study investigated the scheme for correctly making Korean fashion design known to the world. It attempted to increase the influence of the Eighteenth Century Costume in contemporary fashion. During the 18th century, France had an almost complete monopoly of fashion. Growing out the fairyland atmosphere of the French Court and often conceived of as ennui by personal vanity, this fashion was a product of an age which sought at any price to live life with supreme grace. Most of the special costume exhibitions in the Metropolitan Museum of Art are planned and directed by Polaire Weissman, Diana Vreeland, Richard Martin, Harold Koda. The Costume Institute has held exhibitions of the Eighteenth Century Costume several times such as "Museum Period Rooms Re-Occupied in Style," "the Eighteenth Century Women," "the Ceaseless Century," "Dangerous Liaisons," etc. Especially, the exhibition of "Dangerous Liaisons" is organized in ten parts such as the Portrait, the Levee, the Music Lesson, the Withdrawing Room, the Broken Vase, the Favorite, the Masked Beauty, the Card Game, the Late Supper, and the Shop. Using the eighteenth century as its touchstone, The Ceaseless Century proceeds differently, not seeking the short distance between a discrete present and the multiple past but rather showing the complicated navigation that comes of revivalism swing to and fro on the timeline of history and sensibility. The designers featured include Karl Lagerfeld, Gianni Versace, Vivienne Westwood, Jean Paul Gaultier, Christian Dior, Cristobal Balencicga, Christian Lacroix, Stella McCartney forChloe, Olivier Theyskens, Alexander McQueen, etc. Therefore, Korean designers should refrain from (Ed-confirm) the foreign collection without a clear purpose and should devote their effort to create with an active attitude.

합성곱 신경망의 비지니스 응용: 런웨이 이미지를 사용한 의류 분류를 중심으로 (Business Application of Convolutional Neural Networks for Apparel Classification Using Runway Image)

  • 서이안;신경식
    • 지능정보연구
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    • 제24권3호
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    • pp.1-19
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    • 2018
  • 최근 딥러닝은 오디오, 텍스트 및 이미지 데이터와 같은 비 체계적인 데이터를 대상으로 다양한 추정, 분류 및 예측 문제에 사용 및 적용되고 있다. 특히, 의류산업에 적용될 경우 딥러닝 기법을 활용한 의류 인식, 의류 검색, 자동 제품 추천 등의 심층 학습을 기반으로 한 응용이 가능하다. 이 때의 핵심모형은 합성곱 신경망을 사용한 이미지 분류이다. 합성곱 신경망은 입력이 전달되고 출력에 도달하는 과정에서 가중치와 같은 매개 변수를 학습하는 뉴런으로 구성되고, 영상 분류에 가장 적합한 방법론으로 사용된다. 기존의 의류 이미지 분류 작업에서 대부분의 분류 모형은 의류 이미지 자체 또는 전문모델 착용 의류와 같이 통제된 상황에서 촬영되는 온라인 제품 이미지를 사용하여 학습을 수행한다. 하지만 본 연구에서는 통제되지 않은 상황에서 촬영되고 사람들의 움직임과 다양한 포즈가 포함된 스트릿 패션 이미지 또는 런웨이 이미지를 분류하려는 상황을 고려하여 분류 모형을 훈련시키는 효과적인 방법을 제안한다. 이동성을 포착하는 런웨이 의류 이미지로 모형을 학습시킴으로써 분류 모형의 다양한 쿼리 이미지에 대한 적응력을 높일 수 있다. 모형 학습 시 먼저 ImageNet 데이터셋을 사용하여 pre-training 과정을 거치고 본 연구를 위해 수집된 32 개 주요 패션 브랜드의 2426개 런웨이 이미지로 구성된 데이터셋을 사용하여 fine-tuning을 수행한다. 학습 과정의 일반화를 고려해 10번의 실험을 수행하고 제안된 모형은 최종 테스트에서 67.2 %의 정확도를 기록했다. 본 연구 모형은 쿼리 이미지가 런웨이 이미지, 제품 이미지 또는 스트릿 패션 이미지가 될 수 있는 다양한 분류 환경에 적용될 수 있다. 구체적으로는 패션 위크에서 모바일 어플리케이션 서비스를 통해 브랜드 검색을 용이하게 하는 서비스를 제공하거나, 패션 잡지사의 편집 작업에 사용되어 브랜드나 스타일을 분류하고 라벨을 붙일 수 있으며, 온라인 쇼핑몰에서 아이템 정보를 제공하거나 유사한 아이템을 추천하는 등의 다양한 목적에 적용될 수 있다.