Annotating images by harnessing worldwide user-tagged photos

  title={Annotating images by harnessing worldwide user-tagged photos},
  author={Xirong Li and Cees Snoek and Marcel Worring},
  journal={2009 IEEE International Conference on Acoustics, Speech and Signal Processing},
Automatic image tagging is important yet challenging due to the semantic gap and the lack of learning examples to model a tag's visual diversity. Meanwhile, social user tagging is creating rich multimedia content on the web. In this paper, we propose to combine the two tagging approaches in a search-based framework. For an unlabeled image, we first retrieve its visual neighbors from a large user-tagged image database. We then select relevant tags from the result images to annotate the unlabeled… CONTINUE READING
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