Fast Evaluation Techniques for Complex Similarity Queries

@inproceedings{Bhm2001FastET,
  title={Fast Evaluation Techniques for Complex Similarity Queries},
  author={Klemens B{\"o}hm and Michael Mlivoncic and Hans-J{\"o}rg Schek and Roger Weber},
  booktitle={VLDB},
  year={2001}
}
Complex similarity queries, i.e., multi-feature multi-object queries, are needed to express the information need of a user against a large multimedia repository. Even if a user initially issues a single-object query over one feature, a system with relevance feedback will automatically generate a complex similarity query. Relevance feedback is only useful if response times are interactive. Therefore, this article contributes to the important problem how to evaluate such complex queries… CONTINUE READING
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Fast Evaluation Techniques for Complex Similarity Queries

  • K. Böhm, M. Mlivoncic, H.-J. Schek, R. Weber
  • Technical report, Dept. of Computer Science,
  • 2001
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