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

Hirokatsu Kataoka, Yutaka Satoh, Kaori Abe, Munetaka Minoguchi, Akio Nakamura

CVPRW 2019 pp. 305-312

doi:10.1109/CVPRW.2019.00040 /cvprw/2019/kataoka2019cvprw-tenmillionorder/

Abstract

The paper proposes a huge geo-tagged image database, referred to as the Fashion Culture DataBase (FCDB), which is considered to be a semi-automatic image collection in cloud-based services such as social network services (SNS). 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 similarity 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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Cite

Text

Kataoka et al. "Ten-Million-Order Human Database for World-Wide Fashion Culture Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2019. doi:10.1109/CVPRW.2019.00040

Markdown

[Kataoka et al. "Ten-Million-Order Human Database for World-Wide Fashion Culture Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2019.](https://mlanthology.org/cvprw/2019/kataoka2019cvprw-tenmillionorder/) doi:10.1109/CVPRW.2019.00040

BibTeX

@inproceedings{kataoka2019cvprw-tenmillionorder,
  title     = {{Ten-Million-Order Human Database for World-Wide Fashion Culture Analysis}},
  author    = {Kataoka, Hirokatsu and Satoh, Yutaka and Abe, Kaori and Minoguchi, Munetaka and Nakamura, Akio},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2019},
  pages     = {305-312},
  doi       = {10.1109/CVPRW.2019.00040},
  url       = {https://mlanthology.org/cvprw/2019/kataoka2019cvprw-tenmillionorder/}
}