Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICME.2013.6607545
Title: Modeling fashion
Authors: Chen, Q.
Wang, G.
Tan, C.L. 
Keywords: Active Clustering
Fashion Classification
Visual Patten Discovery
Issue Date: 2013
Source: Chen, Q.,Wang, G.,Tan, C.L. (2013). Modeling fashion. Proceedings - IEEE International Conference on Multimedia and Expo : -. ScholarBank@NUS Repository. https://doi.org/10.1109/ICME.2013.6607545
Abstract: We propose a method to try to model fashionable dresses in this paper. We first discover common visual patterns that appear in dress images using a human-in-the-loop, active clustering approach. A fashionable dress is expected to contain certain visual patterns which make it fashionable. An approach is proposed to jointly identify fashionable visual patterns and learn a discriminative fashion classifier. The results show that interesting fashionable patterns can be discovered on a newly collected dress dataset. Furthermore, our model can also achieve high accuracy on distinguishing fashionable and unfashionable dresses. © 2013 IEEE.
Source Title: Proceedings - IEEE International Conference on Multimedia and Expo
URI: http://scholarbank.nus.edu.sg/handle/10635/78240
ISBN: 9781479900152
ISSN: 19457871
DOI: 10.1109/ICME.2013.6607545
Appears in Collections:Staff Publications

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