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

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

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Paper

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

Topics: Content-Based Indexing, Search, and Retrieval

In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, 693-700, 2013 , Barcelona, Spain

Authors: Noran Hasan ; Ahmed Hamouda ; Tamer Deif ; Motaz El-Sabban and Ramy Shahin

Affiliation: Microsoft Research Advanced Technology Labls in Cairo, Egypt

Keyword(s): Skin Segmentation, Image Matching and Retrieval.

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.

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Paper citation in several formats:

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 (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 693-700. DOI: 10.5220/0004299906930700

@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 (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={693-700},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004299906930700},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - Using Skin Segmentation to Improve Similar Product Recommendations in Online Clothing Stores
SN - 978-989-8565-47-1
IS - 2184-4321
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
PB - SciTePress