Fashion world map: Understanding cities through streetwear fashion

Yu Ting Chang, Wen-Huang Cheng, Bo Wu, Kai Lung Hua

研究成果: Conference contribution同行評審

8 引文 斯高帕斯(Scopus)

摘要

Fashion is an integral part of life. Streets as a social center for people's interaction become the most important public stage to showcase the fashion culture of a metropolitan area. In this paper, therefore, we propose a novel framework based on deep neural networks (DNN) for depicting the street fashion of a city by automatically discovering fashion items (e.g., jackets) in a particular look that are most iconic for the city, directly from a large collection of geo-tagged street fashion photos. To obtain a reasonable collection of iconic items, our task is formulated as the prize-collecting Steiner tree (PCST) problem, whereby a visually intuitive summary of the world's iconic street fashion can be created. To the best of our knowledge, this is the first work devoted to investigate the world's fashion landscape in modern times through the visual analytics of big social data. It shows how the visual impression of local fashion cultures across the world can be depicted, modeled, analyzed, compared, and exploited. In the experiments, our approach achieves the best performance (43.19%) on our large collected GS-Fashion dataset (170K photos), with an average of two times higher than all the other algorithms (FII: 20.13%, AP: 18.76%, DC: 17.90%), in terms of the users' agreement ratio on the discovered iconic fashion items of a city. The potential of our proposed framework for advanced sociological understanding is also demonstrated via practical applications.

原文English
主出版物標題MM 2017 - Proceedings of the 2017 ACM Multimedia Conference
發行者Association for Computing Machinery, Inc
頁面91-99
頁數9
ISBN(電子)9781450349062
DOIs
出版狀態Published - 23 十月 2017
事件25th ACM International Conference on Multimedia, MM 2017 - Mountain View, United States
持續時間: 23 十月 201727 十月 2017

出版系列

名字MM 2017 - Proceedings of the 2017 ACM Multimedia Conference

Conference

Conference25th ACM International Conference on Multimedia, MM 2017
國家United States
城市Mountain View
期間23/10/1727/10/17

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