WhittleSearch: Image search with relative attribute feedback

  title={WhittleSearch: Image search with relative attribute feedback},
  author={Adriana Kovashka and Devi Parikh and Kristen Grauman},
  journal={2012 IEEE Conference on Computer Vision and Pattern Recognition},
We propose a novel mode of feedback for image search, where a user describes which properties of exemplar images should be adjusted in order to more closely match his/her mental model of the image(s) sought. For example, perusing image results for a query “black shoes”, the user might state, “Show me shoe images like these, but sportier.” Offline, our approach first learns a set of ranking functions, each of which predicts the relative strength of a nameable attribute in an image (`sportiness… CONTINUE READING
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