Using Skin Segmentation to Improve Similar Product Recommendations in Online Clothing Stores

Noran Hasan, Ahmed Hamouda, Tamer Deif, Motaz El-Sabban, Ramy Shahin

2013

Abstract

Image matching and retrieval in the domain of clothing, as used in online shopping for recommending similar products, is often distracted by the existence of a mannequin/model wearing the product. The existence of a model adds clutter to both the shape and color features of the product. In this paper, we propose a novel image pre-processing pipeline that minimizes skin and background segments generated from generic GraphCut segmentation. Experiments judged by human subjects show very promising gains of around 23% in retrieval precision of the top 25 similar products compared to the baseline system.

Paper Citation

in Harvard Style

Hasan N., Hamouda A., Deif T., El-Sabban M. and Shahin R. (2013). Using Skin Segmentation to Improve Similar Product Recommendations in Online Clothing Stores . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 693-700. DOI: 10.5220/0004299906930700

in Bibtex Style

@conference{visapp13,
author={Noran Hasan and Ahmed Hamouda and Tamer Deif and Motaz El-Sabban and Ramy Shahin},
title={Using Skin Segmentation to Improve Similar Product Recommendations in Online Clothing Stores},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={693-700},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004299906930700},
isbn={978-989-8565-47-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - Using Skin Segmentation to Improve Similar Product Recommendations in Online Clothing Stores
SN - 978-989-8565-47-1
AU - Hasan N.
AU - Hamouda A.
AU - Deif T.
AU - El-Sabban M.
AU - Shahin R.
PY - 2013
SP - 693
EP - 700
DO - 10.5220/0004299906930700