Abstract
This study applies an artificial intelligence (A.I.) based visual search tool to analyze runway images. The purpose of this study is to explore the applicability of A.I. based visual search tools in the analysis of fashion styles. The study also selected Gucci collection runway images for analyzing fashion styles by creative directors. This study categorized fashion styles through academic studies as well as current online references, and input 8,739 fashion images of representative style categories to develop a visual search model. Secondly, an empirical evaluation was conducted on the Gucci collection during the fashion style analysis process. A total of 193 runway images from Frida Giannini’s 2014 FW and 2015 SS seasons and Alessandro Michele’s 2015 FW and 2016 SS seasons were collected from Vogue.com, and the fashion styles were categorized and compared through the developed visual search model. As a result of comparing the differences between the fashion styles derived from each creative director,2014 FW and 2015 SS collections directed by Frida Giannini showed ‘modern’,‘minimal’, ‘elegant’, and ‘sophisticated’ fashion styles, while the collections directed by Alessandro Michele showed ‘androgynous’, ‘hippie’, ‘romantic’, and‘retro’ fashion styles.
Highlights
In the field of fashion design, studies on seasonal styles have been conducted through subjective analysis methods by professionals’ or researchers’ insights focusing on fashion runway’s design elements such as colors, materials, and details (Rhee & Park, 2017; Lee et al, 2015 etc.)
An empirical evaluation was conducted on the Gucci collection during the fashion style analysis process
A total of 193 runway images from Frida Giannini’s 2014 FW and 2015 SS seasons and Alessandro Michele’s 2015 FW and 2016 SS seasons were collected from Vogue.com, and the fashion styles were categorized and compared through the developed visual search model
Summary
In the field of fashion design, studies on seasonal styles have been conducted through subjective analysis methods by professionals’ or researchers’ insights focusing on fashion runway’s design elements such as colors, materials, and details (Rhee & Park, 2017; Lee et al, 2015 etc.). Conventional methods of analysis have limits to consistently evaluate since numerical standards are ambiguous for determining mixed fashion styles in runway images. Time and costs are required to analyze the massive amount of fashion styles presented every season. This study applies an artificial intelligence (A.I.) based visual search tool to analyze runway images. The purpose of this study is to explore the applicability of A.I. based visual search tools in the analysis of fashion styles. The study selected Gucci collection runway images for analyzing fashion styles by creative directors
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
