WhittleSearch: Image search with relative attribute feedback

@article{Kovashka2012WhittleSearchIS,
  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},
  year={2012},
  pages={2973-2980}
}
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
Highly Influential
This paper has highly influenced 13 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 265 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 180 extracted citations

266 Citations

0204060'13'15'17
Citations per Year
Semantic Scholar estimates that this publication has 266 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 30 references

Similar Papers

Loading similar papers…