Image retrieval with reciprocal and shared nearest neighbors

  title={Image retrieval with reciprocal and shared nearest neighbors},
  author={Agni Delvinioti and Herv{\'e} J{\'e}gou and Laurent Amsaleg and Michael E. Houle},
  journal={2014 International Conference on Computer Vision Theory and Applications (VISAPP)},
Content-based image retrieval systems typically rely on a similarity measure between image vector representations, such as in bag-of-words, to rank the database images in decreasing order of expected relevance to the query. However, the inherent asymmetry of k-nearest neighborhoods is not properly accounted for by traditional similarity measures, possibly leading to a loss of retrieval accuracy. This paper addresses this issue by proposing similarity measures that use neighborhood information… CONTINUE READING