Fashion coordinates recommender system using photographs from fashion magazines

Authors:
Tomoharu Iwata;Shinji Watanabe;Hiroshi Sawada
Affiliations:
NTT Communication Science Laboratories, Kyoto, Japan;NTT Communication Science Laboratories, Kyoto, Japan;NTT Communication Science Laboratories, Kyoto, Japan
Venue:
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Year:
2011

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Abstract

Fashion magazines contain a number of photographs of fashion models, and their clothing coordinates serve as useful references. In this paper, we propose a recommender system for clothing coordinates using full-body photographs from fashion magazines. The task is that, given a photograph of a fashion item (e.g. tops) as a query, to recommend a photograph of other fashion items (e.g. bottoms) that is appropriate to the query. With the proposed method, we use a probabilistic topic model for learning information about coordinates from visual features in each fashion item region. We demonstrate the effectiveness of the proposed method using real photographs from a fashion magazine and two fashion style sharing services with the task of making top (bottom) recommendations given bottom (top) photographs.