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

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

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.

References

  1. Canny, J., 1983. A Computational Approach to Edge Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence.
  2. Cao, Y., Wang, C., Zhang, L., Zhang, L., 2011. Edgel Index for Large-Scale Sketch-based Image Search. IEEE Conference on Computer Vision and Pattern Recognition.
  3. Datta, R., Joshi, D., Li, J., Wang, J. Z. 2008. Image retrieval: Ideas, influences, and trends of the new age. ACM Computing Surveys.
  4. Felzenszwalb, P. F., Huttenlocher, D. P., 2004. Efficient Graph-Based Image Segmentation . International Journal of Computer Vision.
  5. Grana, C., Borghesani, D., Cucchiara, R., 2012, Classbased Color Bag of Words for Fashion Retrieval. IEEE International Conference on Multimedia and Expo.
  6. Jones, M. J., Rehg, J. M., 2002. Statistical Color Models with Application to Skin Detection. International Journal of Computer Vision.
  7. Kakumanu, P., Makrogiannis, S., Bourbakis, N., 2007. A survey of skin-color modeling and detection methods. Pattern Recognition.
  8. Martin, D. R., Fowlkes, C. C., Malik, J., 2004. Learning to detect natural image boundaries using local brightness, color, and texture cues. Pattern Analysis and Machine Intelligence.
  9. Rother, C., Kolmogorov, V., Blake, A., 2004. GrabCut: interactive foreground extraction using iterated graph cuts. ACM SIGGRAPH.
  10. Sivic, J., Zisserman, A., 2003. Video Google: a text retrieval approach to object matching in videos. Proceesings of the 9th IEEE International Conference on Computer Vison.
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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