Using VDMS to Index and Search 100M Images
Summary: VDMS treats images, videos, and feature vectors as first-class citizens to accelerate ML-driven data preparation and analytics. With YFCC100M (100M items, ~12TB), VDMS delivers up to 364x speedups (avg ~85x) over standard data-management systems for scalable image search. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,806 | The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format | 2024 | SIGMOD | 4.2805224e-05 |
| 11,099 | Demonstration of MaskSearch: Efficiently Querying Image Masks for Machine Learning Workflows | 2024 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 310 | The Vertica Analytic Database: C-Store 7 Years Later | 2012 | VLDB | 0.00028132402 |
| 318 | Overview of SciDB: Large Scale Array Storage, Processing and Analysis | 2010 | SIGMOD | 0.00027795661 |
| 542 | Shark: SQL and Rich Analytics at Scale | 2013 | SIGMOD | 0.00020595648 |
| 734 | The TileDB Array Data Storage Manager | 2017 | VLDB | 0.00017455248 |
| 851 | The case against specialized graph analytics engines | 2015 | CIDR | 0.0001594441 |
| 860 | The Multidimensional Database System RasDaMan | 1998 | SIGMOD | 0.00015860465 |
| 1,532 | Data Management in Machine Learning: Challenges, Techniques, and Systems | 2017 | SIGMOD | 0.00011472681 |
| 3,402 | TAO: How Facebook Serves the Social Graph | 2012 | SIGMOD | 7.1378698e-05 |
| 4,278 | Similarity Query Processing for High-Dimensional Data | 2020 | VLDB | 6.2953764e-05 |
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