Semi-supervised distance metric learning for Collaborative Image Retrieval

  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},
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
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