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Fast Parallel Similarity Search in Multimedia Databases

Summary: Proposes a parallel NNS for high-dimensional feature spaces using quadrant-based declustering that guarantees neighboring quadrants map to distinct disks. Demonstrates near-linear speedup with constant scale-up, outperforming Hilbert declustering by up to 5x on real data (≤40 MB). (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2992
Venue
SIGMOD
Year
1997
Pagerank
7.061829e-05
Overall Rank
3,866 | 73.48%
DOI
10.1145/253260.253263

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{berchtold_sigmod97,
        title = {{Fast Parallel Similarity Search in Multimedia Databases}},
        author = {Berchtold, Stefan and Böhm, Christian and Braunmüller, Bernhard and Keim, Daniel A. and Kriegel, Hans-Peter},
        series = {{SIGMOD} '97},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/253260.253263},
        url = {https://dl.acm.org/doi/10.1145/253260.253263},
        year = {1997}
}

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