Semi-supervised distance metric learning for Collaborative Image Retrieval

@article{Hoi2008SemisupervisedDM,
  title={Semi-supervised distance metric learning for Collaborative Image Retrieval},
  author={Steven C. H. Hoi and Wei Liu and Shih-Fu Chang},
  journal={2008 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2008},
  pages={1-7}
}
Typical content-based image retrieval (CBIR) solutions with regular Euclidean metric usually cannot achieve satisfactory performance due to the semantic gap challenge. Hence, relevance feedback has been adopted as a promising approach to improve the search performance. In this paper, we propose a novel idea of learning with historical relevance feedback log data, and adopt a new paradigm called ldquoCollaborative Image Retrievalrdquo (CIR). To effectively explore the log data, we propose a… CONTINUE READING
Highly Influential
This paper has highly influenced a number of papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 170 citations. REVIEW CITATIONS

4 Figures & Tables

Topics

Statistics

010203020082009201020112012201320142015201620172018
Citations per Year

171 Citations

Semantic Scholar estimates that this publication has 171 citations based on the available data.

See our FAQ for additional information.