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Evaluating Temporal Queries Over Video Feeds

Summary: Introduces temporal queries over tracked objects and co-occurrences in video streams, with a 3-layer architecture. Proposes Marked Frame Set and Sparse State Graph for data; SSG-CM prunes frames while preserving query states, yielding speedups. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6146
Venue
SIGMOD
Year
2021
Pagerank
6.7092231e-05
Overall Rank
4,429 | 69.62%
DOI
10.1145/3448016.3452803

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chen_sigmod21,
        title = {{Evaluating Temporal Queries Over Video Feeds}},
        author = {Chen, Yueting and Yu, Xiaohui and Koudas, Nick and Yu, Ziqiang},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3452803},
        url = {https://dl.acm.org/doi/10.1145/3448016.3452803},
        year = {2021}
}

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