Learning Semantics for Image Annotation

@article{Tariq2017LearningSF,
  title={Learning Semantics for Image Annotation},
  author={Amara Tariq and Hassan Foroosh},
  journal={CoRR},
  year={2017},
  volume={abs/1705.05102}
}
Image search and retrieval engines rely heavily on textual annotation in order to match word queries to a set of candidate images. A system that can automatically annotate images with meaningful text can be highly beneficial for such engines. Currently, the approaches to develop such systems try to establish relationships between keywords and visual features of images. In this paper, We make three main contributions to this area: (i) We transform this problem from the low-level keyword space to… CONTINUE READING
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