publication . Conference object . Preprint . 2014

Large scale visual recommendations from street fashion images

Wei Di; Neel Sundaresan; Robinson Piramuthu; Vignesh Jagadeesh; Anurag Bhardwaj;
Open Access
  • Published: 08 Jan 2014
  • Publisher: ACM Press
Abstract
We describe a completely automated large scale visual recommendation system for fashion. Our focus is to efficiently harness the availability of large quantities of online fashion images and their rich meta-data. Specifically, we propose two classes of data driven models in the Deterministic Fashion Recommenders (DFR) and Stochastic Fashion Recommenders (SFR) for solving this problem. We analyze relative merits and pitfalls of these algorithms through extensive experimentation on a large-scale data set and baseline them against existing ideas from color science. We also illustrate key fashion insights learned through these experiments and show how they can be em...
Subjects
ACM Computing Classification System: ComputerSystemsOrganization_MISCELLANEOUS
free text keywords: Computer Science - Computer Vision and Pattern Recognition, Multimedia, computer.software_genre, computer, Recommender system, E-commerce, business.industry, business, Color science, Data-driven, Information retrieval, Computer science
Related Organizations
18 references, page 1 of 2

[1] D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. JMLR, 3:993-1022, 2003. 4

[2] A. Bosch, A. Zisserman, and X. Mun˜oz. Scene classification via plsa. In ECCV, pages 517-530, 2006. 4

[3] H. Chen, A. Gallagher, and B. Girod. Describing clothing by semantic attributes. In ECCV, pages 609-623, 2012. 2

[4] D. Cohen-Or, O. Sorkine, R. Gal, T. Leyvand, and Y. Xu. Color harmonization. In SIGGRAPH, pages 624-630. ACM, 2006. 2, 3

[5] J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and F.-F. Li. Imagenet: A large-scale hierarchical image database. In CVPR, pages 248-255, 2009. 1

[6] T. Iwata, S. Wanatabe, and H. Sawada. Fashion coordinates recommender system using photographs from fashion magazines. In IJCAI, pages 2262-2267, 2011. 2

[7] C. Li and T. Chen. Aesthetic visual quality assessment of paintings. Selected Topics in Signal Processing, IEEE Journal of, 3(2):236-252, 2009. 2

[8] S. Liu, J. Fen, Z. Song, T. Zhang, H. Lu, C. Xu, and S. Yan. Hi, magic closet, tell me what to wear! In ACMMM, 2012. 2

[9] S. Liu, Z. Song, G. Liu, C. Xu, H. Lu, and S. Yan. Street-toshop: Cross-scenario clothing retrieval via parts alignment and auxiliary set. In CVPR, pages 3330-3337, 2012. 2

[10] W.-Y. Ma and B. S. Manjunath. Texture features and learning similarity. In CVPR, pages 425-430, 1996. 4

[11] R. Salakhutdinov and A. Mnih. Probabilistic matrix factorization. In Advances in Neural Information Processing Systems, volume 20, 2008. 4 [OpenAIRE]

[12] M. Varma and A. Zisserman. A statistical approach to texture classification from single images. IJCV, 62(1), 2005. 4

[13] M. Weber and M. Bauml. Part-based clothing segmentation for person retrieval. In AVSS, pages 361-366. IEEE, 2011. 2

[14] J. Xiao, J. Hays, K. A. Ehinger, A. Oliva, and A. Torralba. Sun database: Large-scale scene recognition from abbey to zoo. In CVPR, pages 3485-3492, 2010. 1 [OpenAIRE]

[15] K. Yamaguchi, M. H. Kiapour, L. E. Ortiz, and T. L. Berg. Parsing clothing in fashion photographs. In CVPR, pages 3570-3577, 2012. 1, 2

18 references, page 1 of 2
Any information missing or wrong?Report an Issue