SVQ++: Querying for Object Interactions in Video Streams
Summary: SVQ++ enables declarative querying over real-time video streams for object interactions. It employs Progressive Filters to cheaply detect target objects and an Interaction Sheave to prune non-interacting frames, delivering up to 100× throughput gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Daren Chao (University of Toronto)
- 2. Nick Koudas (University of Toronto)
- 3. Ioannis Xarchakos (University of Toronto)
BibTeX Citation
@inproceedings{chao_sigmod20,
title = {{SVQ++: Querying for Object Interactions in Video Streams}},
author = {Chao, Daren and Koudas, Nick and Xarchakos, Ioannis},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3384701},
url = {https://dl.acm.org/doi/10.1145/3318464.3384701},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,365 | Spatial and Temporal Constrained Ranked Retrieval over Videos | 2022 | VLDB | 7.4763252e-05 |
| 4,429 | Evaluating Temporal Queries Over Video Feeds | 2021 | SIGMOD | 6.7092231e-05 |
| 5,966 | VOCAL: Video Organization and Interactive Compositional AnaLytics | 2022 | CIDR | 6.0255527e-05 |
| 8,362 | EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions | 2023 | VLDB | 5.4432545e-05 |
| 8,470 | Query-Driven Video Event Processing for the Internet of Multimedia Things | 2021 | VLDB | 5.4183553e-05 |
| 9,925 | DoveDB: A Declarative and Low-Latency Video Database | 2023 | VLDB | 5.1955087e-05 |
| 11,268 | Optimizing Video Queries with Declarative Clues | 2024 | VLDB | 5.093636e-05 |
| 11,483 | EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions | 2023 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 284 | NoScope: Optimizing Neural Network Queries over Video at Scale | 2017 | VLDB | 0.00022370521 |
| 3,410 | SVQ: Streaming Video Queries | 2019 | SIGMOD | 7.4362585e-05 |
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| 3 | 3,365 | Spatial and Temporal Constrained Ranked Retrieval over Videos | 2022 | VLDB |
| 4 | 8,362 | EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions | 2023 | VLDB |
| 5 | 284 | NoScope: Optimizing Neural Network Queries over Video at Scale | 2017 | VLDB |
| 6 | 8,518 | DeepVQL: Deep Video Queries on PostgreSQL | 2023 | VLDB |
| 7 | 11,268 | Optimizing Video Queries with Declarative Clues | 2024 | VLDB |
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| 9 | 8,331 | TQVS: Temporal Queries over Video Streams in Action | 2020 | SIGMOD |
| 10 | 3,410 | SVQ: Streaming Video Queries | 2019 | SIGMOD |