Improving image search with phetch

被引:0
作者
von Ahn, Luis [1 ]
Ginosar, Shiry [1 ]
Kedia, Mihir [1 ]
Blum, Manuel [1 ]
机构
[1] Carnegie Mellon Univ, Dept Comp Sci, 5000 Forbes Ave, Pittsburgh, PA 15213 USA
来源
2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL IV, PTS 1-3 | 2007年
基金
美国国家科学基金会;
关键词
distributed knowledge acquisition; accessibility; Web-based games; image retrieval;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Keyword-based image search engines are hindered by the lack of proper labeling for images in their indices. In many cases the labels do not agree with the contents of the image itself, since images are generally indexed by their filename and the surrounding text in the webpage. Another popular approach to image search, content based image retrieval, suffers from a gap between the available low level data and the semantic needs of user searches. To overcome these problems we suggest human annotation of images with natural language descriptions. To this end we present Phetch, an engaging multiplayer game that allows people to attach accurate explanatory text captions to arbitrary images on the Web. People play the game because it is fun, and as a side effect we collect valuable information that can be applied towards improving image retrieval. Furthermore, the game can also be used for other novel applications.
引用
收藏
页码:1209 / +
页数:2
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