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Authors: Julia Lasserre ; Katharina Rasch and Roland Vollgraf

Affiliation: Zalando Research, Germany

ISBN: 978-989-758-276-9

Keyword(s): Computer Vision, Deep Learning, Fashion, Item Recognition, Street-to-shop.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Image Understanding ; Pattern Recognition ; Similarity and Distance Learning ; Theory and Methods

Abstract: Fashion is an increasingly important topic in computer vision, in particular the so-called street-to-shop task of matching street images with shop images containing similar fashion items. Solving this problem promises new means of making fashion searchable and helping shoppers find the articles they are looking for. This paper focuses on finding pieces of clothing worn by a person in full-body or half-body images with neutral backgrounds. Such images are ubiquitous on the web and in fashion blogs, and are typically studio photos, we refer to this setting as studio-to-shop. Recent advances in computational fashion include the development of domain-specific numerical representations. Our model Studio2Shop builds on top of such representations and uses a deep convolutional network trained to match a query image to the numerical feature vectors of all the articles annotated in this image. Top-k retrieval evaluation on test query images shows that the correct items are most often found within a range that is sufficiently small for building realistic visual search engines for the studio-to-shop setting. (More)

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Paper citation in several formats:
Lasserre J., Rasch K. and Vollgraf R. (2018). Studio2Shop: From Studio Photo Shoots to Fashion Articles.In Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-276-9, pages 37-48. DOI: 10.5220/0006544500370048

@conference{icpram18,
author={Julia Lasserre and Katharina Rasch and Roland Vollgraf},
title={Studio2Shop: From Studio Photo Shoots to Fashion Articles},
booktitle={Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2018},
pages={37-48},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006544500370048},
isbn={978-989-758-276-9},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Studio2Shop: From Studio Photo Shoots to Fashion Articles
SN - 978-989-758-276-9
AU - Lasserre J.
AU - Rasch K.
AU - Vollgraf R.
PY - 2018
SP - 37
EP - 48
DO - 10.5220/0006544500370048

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