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Efficient User-Adaptable Similarity Search in Large Multimedia Databases

Summary: Supports user-adaptable ellipsoid similarity queries via quadratic-form distances on existing indexes. Matrix-reduction and multi-step processing scale to high dimensions while deriving a greatest lower bound with no false drops. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8642
Venue
VLDB
Year
1997
Pagerank
9.7853414e-05
Overall Rank
1,776 | 87.82%
DOI
-

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Authors

BibTeX Citation

@article{seidl_vldb97,
        title = {{Efficient User-Adaptable Similarity Search in Large Multimedia Databases}},
        author = {Seidl, Thomas and Kriegel, Hans-Peter},
        journal = {PVLDB},
        series = {{VLDB} '97},
        pages = {506--515},
        year = {1997}
}

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