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WALRUS: A Similarity Retrieval Algorithm for Image Databases

Summary: WALRUS: region-based image similarity, robust to scaling and translation, by matching regions rather than global signatures. Regions from sliding windows; wavelet-based signatures computed by DP; similarity equals area fraction of matching regions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h05985606a58283c9
Venue
SIGMOD
Year
1999
Pagerank
7.4163853e-05
Overall Rank
3,332 | 77.60%
DOI
10.1145/304182.304217

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{natsev_sigmod99,
        title = {{WALRUS: A Similarity Retrieval Algorithm for Image Databases}},
        author = {Natsev, Apostol and Rastogi, Rajeev and Shim, Kyuseok},
        series = {{SIGMOD} '99},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/304182.304217},
        url = {https://dl.acm.org/doi/10.1145/304182.304217},
        year = {1999}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
4 The R*-tree: An Efficient and Robust Access Method for Points and Rectangles 1990 SIGMOD 0.0011405675
32 BIRCH: An Efficient Data Clustering Method for Very Large Databases 1996 SIGMOD 0.00049737458
353 The Query By Image Content (QBIC) System 1995 SIGMOD 0.00020222998
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