SketchQL: Video Moment Querying with a Visual Query Interface
Summary: SketchQL is a VDBMS for offline video retrieval with a drag-and-drop visual interface sketching object-trajectory patterns. It uses object-tracking, a learned similarity search, and synthetic data to generalize across four real datasets and beat baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Renzhi Wu (Georgia Institute of Technology)
- 2. Pramod Chunduri (Georgia Institute of Technology)
- 3. Ali Payani (Cisco)
- 4. Xu Chu (Georgia Institute of Technology)
- 5. Joy Arulraj (Georgia Institute of Technology)
- 6. Kexin Rong (Georgia Institute of Technology)
BibTeX Citation
@inproceedings{wu_sigmod24,
title = {{SketchQL: Video Moment Querying with a Visual Query Interface}},
author = {Wu, Renzhi and Chunduri, Pramod and Payani, Ali and Chu, Xu and Arulraj, Joy and Rong, Kexin},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3677140},
url = {https://dl.acm.org/doi/10.1145/3677140},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,421 | SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches | 2024 | VLDB | 5.2725196e-05 |
| 10,482 | Predictive Translation: High-Performance Buffer Management Without the Trade-Offs | 2026 | SIGMOD | 5.093636e-05 |
| 10,917 | Deja Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse | 2025 | VLDB | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,912 | SENSOR: Data-driven Construction of Sketch-based Visual Query Interfaces for Time Series Data | 2022 | VLDB |
| 2 | 11,483 | EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions | 2023 | VLDB |
| 3 | 9,464 | Self-Enhancing Video Data Management System for Compositional Events with Large Language Models | 2025 | SIGMOD |
| 4 | 3,410 | SVQ: Streaming Video Queries | 2019 | SIGMOD |
| 5 | 8,518 | DeepVQL: Deep Video Queries on PostgreSQL | 2023 | VLDB |
| 6 | 5,966 | VOCAL: Video Organization and Interactive Compositional AnaLytics | 2022 | CIDR |
| 7 | 9,925 | DoveDB: A Declarative and Low-Latency Video Database | 2023 | VLDB |
| 8 | 8,362 | EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions | 2023 | VLDB |
| 9 | 11,268 | Optimizing Video Queries with Declarative Clues | 2024 | VLDB |
| 10 | 9,421 | SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches | 2024 | VLDB |