Ten-Million-Order Human Database for World-Wide Fashion Culture Analysis

Hirokatsu Kataoka, Yutaka Satoh, Kaori Abe, Munetaka Minoguchi, Akio Nakamura; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019, pp. 0-0

Abstract


The paper proposes a huge geo-tagged image database, referred to as the Fashion Culture DataBase (FCDB), which is considered to be an automatic image collection in cloud-based services such as social networks. In the stage of database construction, we introduce the large-scale data collection, refinement, and representation for SNS-based analysis. The proposed FCDB consists of 25,707,690 images for use in (i) inter-city siimlarity analysis and (ii) fashion trends visualization. We also present a simple but effective representation for the spatial and temporal analysis. Finally, we visualize an inter-city graph and the yearly trend change with the refined FCDB.

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[bibtex]
@InProceedings{Kataoka_2019_CVPR_Workshops,
author = {Kataoka, Hirokatsu and Satoh, Yutaka and Abe, Kaori and Minoguchi, Munetaka and Nakamura, Akio},
title = {Ten-Million-Order Human Database for World-Wide Fashion Culture Analysis},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}