Classifying tag relevance with relevant positive and negative examples

  title={Classifying tag relevance with relevant positive and negative examples},
  author={Xirong Li and Cees Snoek},
  booktitle={ACM Multimedia},
Image tag relevance estimation aims to automatically determine what people label about images is factually present in the pictorial content. Different from previous works, which either use only positive examples of a given tag or use positive and random negative examples, we argue the importance of relevant positive and relevant negative examples for tag relevance estimation. We propose a system that selects positive and negative examples, deemed most relevant with respect to the given tag from… CONTINUE READING
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Publications referenced by this paper.
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