An Extendible Hash for Multi-Precision Similarity Querying of Image Databases
Summary: Multi-precision similarity: partition images into parts with color histograms and 3D color vectors to prune; spatial histograms boost sub-image precision. Extendible hash index for avg col vecs; complete filtering; experiments show SR-tree gains. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Shu Lin
- 2. M. Tamer Özsu
- 3. Vincent Oria
- 4. Raymond Ng
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6 | The R*-tree: An Efficient and Robust Access Method for Points and Rectangles | 1990 | SIGMOD | 0.0016162015 |
| 284 | The SR-tree: An Index Structure for High-Dimensional Nearest Neighbor Queries | 1997 | SIGMOD | 0.00028994728 |
| 503 | Storage Mappings For Multidimensional Linear Dynamic Hashing | 1983 | PODS | 0.00021520176 |
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