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Everest: A Top-K Deep Video Analytics System

Summary: Everest enables efficient Top-K video analytics with probabilistic guarantees to surface the most interesting frames/clips. It supports user-defined ranking via multiple deep vision models, blending CV, uncertain databases, and Top-K query processing. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6429
Venue
SIGMOD
Year
2022
Pagerank
5.1955087e-05
Overall Rank
9,927 | 31.90%
DOI
10.1145/3514221.3520151

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{lai_sigmod22,
        title = {{Everest: A Top-K Deep Video Analytics System}},
        author = {Lai, Ziliang and Liu, Chris and Han, Chenxia and Zhang, Pengfei and Lo, Eric and Kao, Ben},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3520151},
        url = {https://dl.acm.org/doi/10.1145/3514221.3520151},
        year = {2022}
}

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