Annotating images by harnessing worldwide user-tagged photos

@article{Li2009AnnotatingIB,
  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},
  year={2009},
  pages={3717-3720}
}
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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CBSA: contentbased soft annotation for multimodal image retrieval using bayes point machines

  • E. Chang, G. Kingshy, G. Sychay, G. Wu
  • TCSVT, 13(2):26–38,
  • 2003
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