| 논문명 | 인공지능 학습을 활용한 브랜드 아이덴티티의 일치도 분석/An Analysis on Consistency of Brand Identity with AI-based Image Classification |
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| 저자명 | 한유진(Han, Yoojin) ; 이현수(Lee, Hyunsoo) |
| 발행사 | 한국실내디자인학회 |
| 수록사항 | 한국실내디자인학회 논문집 , Vol.28 No.6(통권 137호) |
| 페이지 | 시작페이지(138) 총페이지(8) |
| ISSN | 12297992 |
| 주제분류 | 계획및설계 |
| 주제어 | 브랜드 아이덴티티; 리테일 디자인; 딥러닝; 이미지 분류 Brand Identity; Retail Design; Deep Learning; Image Classification |
| 요약2 | The aim of this study is to investigate a way of determining consistency of brand identity in store design with deep learning-based technology. The concept of brand identity has been aroused in order to set brands apart from tough competitors in global marketplace. Especially, brand space has been highlighted as a strong communicator of consistent brand identity. However, in terms of spatial environments, brand identity has been studied adopting qualitative approaches. This paper look into a way of quantifying consistency of brand identity adopting deep learning-based image classification model. Following the case of Starbucks and Bluebottle ? two brands creating constant and strong brand identity attached to worldwide brand spaces ? auto image classification was conducted with TensorFlow to investigate brand identity congruence. Departing from training image recognition model, 3 tests were conducted to demonstrate the train model. This paper demonstrates that a consistent, coherent, and strong brand identity attached to store design can be trained and recognized with deep learning-based technology. This research also suggests the wider usage of this model in branding and interior design. |
| 소장처 | 한국실내디자인학회 |