GIANT: geo-informative attributes for location recognition and exploration

@inproceedings{Fang2013GIANTGA,
  title={GIANT: geo-informative attributes for location recognition and exploration},
  author={Quan Fang and Jitao Sang and Changsheng Xu},
  booktitle={ACM Multimedia},
  year={2013}
}
This paper considers the problem of automatically discovering geo-informative attributes for location recognition and exploration. The attribute is expected to be both discriminative and representative, which corresponds to a distinctive visual pattern and associates with semantic interpretation. For solution, we analyze the attribute at region level. Each segmented region in the training set is assigned a binary latent variable indicating its discriminative capability. A latent learning… CONTINUE READING
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