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Clothing Similarity Estimation Using Dominant Color Descriptor and SSIM Index

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Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 403))

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Abstract

This paper deals with the problem of estimating the similarity of clothing for the purpose of fashion-related e-commerce systems. The images presenting fashion models are segmented and analyzed in order to detect clothing characteristics. We propose a method based on human pose estimation and body parts segmentation, followed by the analysis of dominant color and structural similarity, independently for particular body segments. The algorithm can be utilized to perform clusterization or in the simpler case—to directly search for similar outfits. The experiments performed using 1800 real-life photos proved the applicability of the proposed approach.

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Notes

  1. 1.

    All the photos used in the paper were obtained from Flickr.com website, from the following users: martingreffe, https://www.flickr.com/people/splinter66; icanteachyouhowtodoit, https://www.flickr.com/people/icanteachyouhowtodoit; GoToVan, https://www.flickr.com/people/gotovan; fervent-adepte-de-la-mode, https://www.flickr.com/people/51528537@@N08; Christopher Macsurak, https://www.flickr.com/people/macsurak; Jessica Quirk, https://www.flickr.com/people/midwestjess; Jason Hargrove, https://www.flickr.com/people/salty_soul; Patrick Raczek, https://www.flickr.com/people/greenpatte; Frank Kovalchek, https://www.flickr.com/people/72213316@@N00; Mycatkins, https://www.flickr.com/people/bigmikeyeah.

References

  1. Brookings, T., Grashow, R., Marder, E.: Statistics of neuronal identification with open and closed loop measures of intrinsic excitability. Frontiers in Neural Circuits 6(19), 2012, doi:10.3389/fncir.2012.00019

  2. Chen, Huizhong, Gallagher, Andrew, Girod, Bernd: Describing Clothing by Semantic Attributes. In: Fitzgibbon, Andrew, Lazebnik, Svetlana, Perona, Pietro, Sato, Yoichi, Schmid, Cordelia (eds.) ECCV 2012, Part III. LNCS, vol. 7574, pp. 609–623. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  3. Chen, Q., Li, J., Liu, Z., Lu, G., Bi, X., Wang, B.: Measuring clothing image similarity with bundled features. Int. J. Cloth. Sci. Technol. 25(2), 119–130 (2013)

    Article  Google Scholar 

  4. Czapiewski, P., Forczmański, P., Frejlichowski, D., Hofman, R.: Clustering-Based Retrieval of Similar Outfits Based on Clothes Visual Characteristics. In: Choraś, R.S. (ed.) Image Processing & Communications Challenges 6,Advances in Intelligent Systems and Computing, vol. 313, pp. 29–36, Springer International Publishing (2015)

    Google Scholar 

  5. Di, W., Wah, C., Bhardwaj, A., Piramuthu, R., Sundaresan, N.: Style finder: Fine-grained clothing style detection and retrieval. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2013, pp. 8–13. IEEE (2013)

    Google Scholar 

  6. Eichner, M., Ferrari, V.: Better appearance models for pictorial structures. In: Proceedings of British Machine Vision Conference (2009)

    Google Scholar 

  7. Eichner, M., Marín-Jiménez, M. J., Zisserman, A., Ferrari, V.: 2D articulated human pose estimation software, ETH Zurich, Visual Geometry Group, http://groups.inf.ed.ac.uk/calvin/articulated_human_pose_estimation_code/

  8. Eichner, M., Marin-Jimenez, M., Zisserman, A., Ferrari, V.: Articulated human pose estimation and search in (Almost) unconstrained still images. Technical Report No. 272. ETH Zurich, D-ITET, BIWI (2010)

    Google Scholar 

  9. Forczmański, Paweł, Czapiewski, Piotr, Frejlichowski, Dariusz, Okarma, Krzysztof, Hofman, Radosław: Comparing clothing styles by means of computer vision methods. In: Chmielewski, Leszek J., Kozera, Ryszard, Shin, Bok-Suk, Wojciechowski, Konrad (eds.) ICCVG 2014. LNCS, vol. 8671, pp. 203–211. Springer, Heidelberg (2014)

    Google Scholar 

  10. Kaufman, L., Rousseeuw, P.: Clustering by means of medoids. North-Holland (1987)

    Google Scholar 

  11. Liu, Z., Wang, J., Chen, Q., Lu, G.: Clothing similarity computation based on tlac. Int. J. Cloth. Sci. Technol. 24(4), 273–286 (2012)

    Article  Google Scholar 

  12. Okarma, Krzysztof, Frejlichowski, Dariusz, Czapiewski, Piotr, Forczmański, Paweł, Hofman, Radosław: Similarity estimation of textile materials based on image quality assessment methods. In: Chmielewski, Leszek J., Kozera, Ryszard, Shin, Bok-Suk, Wojciechowski, Konrad (eds.) ICCVG 2014. LNCS, vol. 8671, pp. 478–485. Springer, Heidelberg (2014)

    Google Scholar 

  13. Roerdink, J., Meijster, A.: The watershed transform: definitions, algorithms and parallelization strategies. Fundam. Inf. 41, 187–228 IOS Press (2001)

    Google Scholar 

  14. Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2001, pp. I-511–I-518. IEEE (2001)

    Google Scholar 

  15. Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600–612 (2004)

    Article  Google Scholar 

  16. Yamada, A., Pickering, M., Jeannin, S., Cieplinski, L., Jens, R.O., Kim, M.: MPEG-7 Visual Part of Experimentation Model Version 9.0—Part 3 Dominant Color. ISO/IEC JTC1/SC29/WG11/N3914 (2001)

    Google Scholar 

  17. Zhang, W., Begole, B., Chu, M., Liu, J., and Yee, N.: Real-time clothes comparison based on multi-view vision. In: Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008. ICDSC 2008, pp. 1–10. IEEE. (2008)

    Google Scholar 

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Acknowledgments

The project “Construction of innovative recommendation based on users’ styles system prototype: FireStyle” (original title: “Zbudowanie prototypu innowacyjnego systemu rekomendacji zgodnych ze stylami użytkowników: FireStyle”) is the project co-founded by European Union (project number: UDA-POIG.01.04.00-30-196/12, value: 14.949.474,00 PLN, EU contribution: 7.879.581,50 PLN, realization period: 01.2013-10.2014). European funds—for the development of innovative economy (Fundusze Europejskie—dla rozwoju innowacyjnej gospodarki).

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Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Żołnierska 49, 71-210, Szczecin, Poland

    Piotr Czapiewski, Paweł Forczmański & Dariusz Frejlichowski

  2. Faculty of Electrical Engineering, West Pomeranian University of Technology, Szczecin, 26. Kwietnia 10, 71-126, Szczecin, Poland

    Krzysztof Okarma

  3. FireFrog Media sp. z o.o., Jeleniogórska 16, 60-179, Poznań, Poland

    Radosław Hofman

Authors
  1. Piotr Czapiewski
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  2. Paweł Forczmański
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  3. Krzysztof Okarma
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  4. Dariusz Frejlichowski
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  5. Radosław Hofman
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Corresponding author

Correspondence to Piotr Czapiewski .

Editor information

Editors and Affiliations

  1. Department of Systems, Wrocław University of Technology, Wroclaw, Poland

    Robert Burduk

  2. Department of Systems and Computer, Wrocław University of Technology, Wroclaw, Poland

    Konrad Jackowski

  3. Department of Systems and Computer, Wrocław University of Technology, Wroclaw, Poland

    Marek Kurzyński

  4. Dept. of Systems and Computer Networks, Wrocław University of Technology, Wroclaw, Poland

    Michał Woźniak

  5. Department of Systems, Wrocław University of Technology, Wroclaw, Poland

    Andrzej Żołnierek

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Czapiewski, P., Forczmański, P., Okarma, K., Frejlichowski, D., Hofman, R. (2016). Clothing Similarity Estimation Using Dominant Color Descriptor and SSIM Index. In: Burduk, R., Jackowski, K., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds) Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. Advances in Intelligent Systems and Computing, vol 403. Springer, Cham. https://doi.org/10.1007/978-3-319-26227-7_46

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  • DOI: https://doi.org/10.1007/978-3-319-26227-7_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26225-3

  • Online ISBN: 978-3-319-26227-7

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