Fashion coordinates recommender system using photographs from fashion magazines

Tomoharu Iwata, Shinji Watanabe, Hiroshi Sawada

研究成果: Conference contribution

71 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルIJCAI 2011 - 22nd International Joint Conference on Artificial Intelligence
ページ2262-2267
ページ数6
DOI
出版ステータスPublished - 2011 12 1
外部発表はい
イベント22nd International Joint Conference on Artificial Intelligence, IJCAI 2011 - Barcelona, Catalonia, Spain
継続期間: 2011 7 162011 7 22

出版物シリーズ

名前IJCAI International Joint Conference on Artificial Intelligence
ISSN(印刷版)1045-0823

Conference

Conference22nd International Joint Conference on Artificial Intelligence, IJCAI 2011
国/地域Spain
CityBarcelona, Catalonia
Period11/7/1611/7/22

ASJC Scopus subject areas

  • 人工知能

フィンガープリント

「Fashion coordinates recommender system using photographs from fashion magazines」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル