著者
小西 克巳 遠山 敏章 渡辺 明日香
出版者
The Japanese Society for Artificial Intelligence
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
vol.25, no.1, pp.25-36, 2010

This paper proposes a fashion-related image gathering algorithm and a retrieval system. Since it is difficult to define the fashion-related image exactly in mathematical sense, computers can not recognize whether given images are fashion-related even if they use computer vision techniques. It is also difficult to gather and search only fashion-related images on the Internet automatically for the same reason. In order to overcome these difficulties, we focus on human computing power, which helps computers to find fashion-related images from tons of images on the Internet. This paper provides an algorithm to gather high quality fashion-related images and propses a fashion-related image retrieval system, both of which utilize the information and meta data obtained in a fashion-related image sharing site. Evaluation experiments show that the proposed algorithm can gather fashion-related images efficiently and that the proposed retrival system can find desired images more effectively than Google Image Search.

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外部データベース (DOI)

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こんな論文どうですか? ファッション画像共有サイトの情報を利用したインターネット上のファッション画像収集と検索(小西 克巳ほか),2010 http://id.CiNii.jp/nVQN
こんな論文どうですか? ファッション画像共有サイトの情報を利用したインターネット上のファッション画像収集と検索(小西克巳ほか),2010 http://id.CiNii.jp/nVQN

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