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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)

Paper ID
h893f86be00dd5952
Venue
SIGMOD
Year
2020
Pagerank
5.3365631e-05
Overall Rank
8,410 | 43.46%
DOI
10.1145/3318464.3384693

Incoming Non-self Citations Over Time

Authors

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)

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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
271 NoScope: Optimizing Neural Network Queries over Video at Scale 2017 VLDB 0.00022560564
1,617 Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine 2019 CIDR 0.00010057464
2,793 Indexing Boolean Expressions 2009 VLDB 8.0052633e-05
3,429 SVQ: Streaming Video Queries 2019 SIGMOD 7.306047e-05
4,495 Evaluating Temporal Queries Over Video Feeds 2021 SIGMOD 6.5769374e-05
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