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
Authors
- 1. Luis Remis (ApertureData)
- 2. Chaunté W. Lacewell (Intel)
BibTeX Citation
@article{remis_vldb21,
title = {{Using VDMS to Index and Search 100M Images}},
author = {Remis, Luis and Lacewell, Chaunté W.},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {3240--3252},
doi = {10.14778/3476311.3476381},
url = {https://doi.org/10.14778/3476311.3476381},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,881 | The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format | 2024 | SIGMOD | 5.2040026e-05 |
| 11,305 | Demonstration of MaskSearch: Efficiently Querying Image Masks for Machine Learning Workflows | 2024 | VLDB | 5.0935618e-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 |
|---|---|---|---|---|
| 186 | The Vertica Analytic Database: C-Store 7 Years Later | 2012 | VLDB | 0.00026179685 |
| 239 | Overview of SciDB: Large Scale Array Storage, Processing and Analysis | 2010 | SIGMOD | 0.00023673973 |
| 425 | Shark: SQL and Rich Analytics at Scale | 2013 | SIGMOD | 0.00018704121 |
| 669 | The TileDB Array Data Storage Manager | 2017 | VLDB | 0.00015163024 |
| 724 | The Multidimensional Database System RasDaMan | 1998 | SIGMOD | 0.00014619895 |
| 759 | The case against specialized graph analytics engines | 2015 | CIDR | 0.00014267438 |
| 1,249 | Data Management in Machine Learning: Challenges, Techniques, and Systems | 2017 | SIGMOD | 0.00011485134 |
| 3,140 | TAO: How Facebook Serves the Social Graph | 2012 | SIGMOD | 7.7175783e-05 |
| 3,310 | Similarity Query Processing for High-Dimensional Data | 2020 | VLDB | 7.5362465e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,224 | Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads | 2017 | VLDB |
| 2 | 10,333 | VecFlow: A High-Performance Vector Data Management System for Filtered-Search on GPUs | 2026 | SIGMOD |
| 3 | 5,967 | VOCAL: Video Organization and Interactive Compositional AnaLytics | 2022 | CIDR |
| 4 | 4,459 | Efficient and Cost-effective Techniques for Browsing and Indexing Large Video Databases | 2000 | SIGMOD |
| 5 | 9,464 | Self-Enhancing Video Data Management System for Compositional Events with Large Language Models | 2025 | SIGMOD |
| 6 | 3,353 | Efficient EMD-based Similarity Search in Multimedia Databases via Flexible Dimensionality Reduction | 2008 | SIGMOD |
| 7 | 5,056 | The Case for Data Visualization Management Systems | 2014 | VLDB |
| 8 | 13,565 | Data Visualization Management Systems | 2015 | CIDR |
| 9 | 11,268 | Optimizing Video Queries with Declarative Clues | 2024 | VLDB |
| 10 | 2,384 | DeepLens: Towards a Visual Data Management System | 2019 | CIDR |