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  • 标题:Fashion-related Image Gathering and Retrieval Using Meta Data generated at Image Sharing Site
  • 本地全文:下载
  • 作者:Katsumi Konishi ; Toshiaki Toyama ; Asuka Watanabe
  • 期刊名称:人工知能学会論文誌
  • 印刷版ISSN:1346-0714
  • 电子版ISSN:1346-8030
  • 出版年度:2010
  • 卷号:25
  • 期号:1
  • 页码:25-36
  • DOI:10.1527/tjsai.25.25
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要: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.
  • 关键词:annotation ; image retrieval ; fashion-related image
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