Optimizing Multi-Feature Queries for Image Databases
Summary: Introduces Quick-Combine, a multi-feature top-k retrieval algorithm for image databases with flexible score aggregation and incremental top-k output. Improves termination over Fagin's algorithm with a score-distribution-aware heuristic, delivering large speedups (up to 30x) on skewed data and scalable benchmarks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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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 |
|---|---|---|---|---|
| 72 | Combining Fuzzy Information from Multiple Systems | 1996 | PODS | 0.00058577335 |
| 169 | Fuzzy Queries in Multimedia Database Systems | 1998 | PODS | 0.00038895438 |
| 195 | Optimizing Queries over Multimedia Repositories | 1996 | SIGMOD | 0.00035406558 |
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|---|---|---|---|---|
| 12,111 | Optimal Top-k Generation of Attribute Combinations based on Ranked Lists | 2012 | SIGMOD | 4.1945683e-05 |
| 12,730 | A Multi-Similarity Algebra | 1998 | SIGMOD | 4.1945683e-05 |
| 195 | Optimizing Queries over Multimedia Repositories | 1996 | SIGMOD | 0.00035406558 |
| 5,882 | Improving Adaptable Similarity Query Processing by Using Approximations | 1998 | VLDB | 5.2892937e-05 |
| 12,751 | Algorithms for Querying by Spatial Structure | 1998 | VLDB | 4.1945683e-05 |
| 12,671 | An Extendible Hash for Multi-Precision Similarity Querying of Image Databases | 2001 | VLDB | 4.1945683e-05 |
| 1,755 | Efficient User-Adaptable Similarity Search in Large Multimedia Databases | 1997 | VLDB | 0.00010669106 |
| 1,293 | Content-Based Image Indexing | 1994 | VLDB | 0.00012783639 |
| 3,555 | Fast Parallel Similarity Search in Multimedia Databases | 1997 | SIGMOD | 6.9772546e-05 |
| 12,601 | Efficiency-Quality Tradeoffs for Vector Score Aggregation | 2004 | VLDB | 4.1945683e-05 |