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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
5866
Venue
SIGMOD
Year
2020
Pagerank
4.5436203e-05
Overall Rank
8,277 | 42.42%
DOI
10.1145/3318464.3384693

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
316 NoScope: Optimizing Neural Network Queries over Video at Scale 2017 VLDB 0.00027988668
1,657 Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine 2019 CIDR 0.00010987105
2,949 Indexing Boolean Expressions 2009 VLDB 7.8340452e-05
3,620 SVQ: Streaming Video Queries 2019 SIGMOD 6.9084299e-05
4,950 Evaluating Temporal Queries Over Video Feeds 2021 SIGMOD 5.8104133e-05
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