TQVS: Temporal Queries over Video Streams in Action
Summary: TQVS enables declarative temporal queries over video streams, identifying clips where targeted objects co-appear for a duration. ODT plus a sliding-window query evaluator uses an object-combination structure to prune candidates and speed evaluation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yueting Chen (York University)
- 2. Xiaohui Yu (York University)
- 3. Nick Koudas (University of Toronto)
BibTeX Citation
@inproceedings{chen_sigmod20,
title = {{TQVS: Temporal Queries over Video Streams in Action}},
author = {Chen, Yueting and Yu, Xiaohui and Koudas, Nick},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3384693},
url = {https://dl.acm.org/doi/10.1145/3318464.3384693},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,365 | Spatial and Temporal Constrained Ranked Retrieval over Videos | 2022 | VLDB | 7.4763252e-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 |
| 11,268 | Optimizing Video Queries with Declarative Clues | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 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 |
| 1,607 | Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine | 2019 | CIDR | 0.0001022751 |
| 2,739 | Indexing Boolean Expressions | 2009 | VLDB | 8.1872509e-05 |
| 3,410 | SVQ: Streaming Video Queries | 2019 | SIGMOD | 7.4362585e-05 |
| 4,429 | Evaluating Temporal Queries Over Video Feeds | 2021 | SIGMOD | 6.7092231e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,042 | MIRIS: Fast Object Track Queries in Video | 2020 | SIGMOD |
| 2 | 9,408 | SketchQL: Video Moment Querying with a Visual Query Interface | 2024 | SIGMOD |
| 3 | 8,362 | EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions | 2023 | VLDB |
| 4 | 10,393 | Query-Aware Path Inference from Spatial Videos | 2026 | SIGMOD |
| 5 | 4,298 | OTIF: Efficient Tracker Pre-processing over Large Video Datasets | 2022 | SIGMOD |
| 6 | 3,365 | Spatial and Temporal Constrained Ranked Retrieval over Videos | 2022 | VLDB |
| 7 | 11,268 | Optimizing Video Queries with Declarative Clues | 2024 | VLDB |
| 8 | 4,213 | SVQ++: Querying for Object Interactions in Video Streams | 2020 | SIGMOD |
| 9 | 3,410 | SVQ: Streaming Video Queries | 2019 | SIGMOD |
| 10 | 4,429 | Evaluating Temporal Queries Over Video Feeds | 2021 | SIGMOD |