Learning Geo-Temporal Image Features

  title={Learning Geo-Temporal Image Features},
  author={Menghua Zhai and Tawfiq Salem and Connor Greenwell and Scott Workman and Robert Pless and Nathan Jacobs},
We propose to implicitly learn to extract geo-temporal image features, which are midlevel features related to when and where an image was captured, by explicitly optimizing for a set of location and time estimation tasks. To train our method, we take advantage of a large image dataset, captured by outdoor webcams and cell phones. The only form of supervision we provide are the known capture time and location of each image. We find that our approach learns features that are related to natural… CONTINUE READING

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Transient attributes for high-level understanding and editing of outdoor scenes

  • Pierre-Yves Laffont, Zhile Ren, Xiaofeng Tao, Chao Qian, James Hays
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