Query-Driven Video Event Processing for the Internet of Multimedia Things
Summary: GNOSIS: a serverless, distributed platform for near-real-time video event detection via spatiotemporal queries. Converts video streams into an evolving graph, enabling event pattern matching with stateful/stateless support and QoS-aware optimizations. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Piyush Yadav (National University of Ireland Galway)
- 2. Dhaval Salwala (National University of Ireland Galway)
- 3. Felipe Arruda Pontes (National University of Ireland Galway)
- 4. Praneet Dhingra (National University of Ireland Galway)
- 5. Edward Curry (National University of Ireland Galway)
BibTeX Citation
@article{yadav_vldb21,
title = {{Query-Driven Video Event Processing for the Internet of Multimedia Things}},
author = {Yadav, Piyush and Salwala, Dhaval and Pontes, Felipe Arruda and Dhingra, Praneet and Curry, Edward},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {2847--2850},
doi = {10.14778/3476311.3476360},
url = {https://doi.org/10.14778/3476311.3476360},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,925 | DoveDB: A Declarative and Low-Latency Video Database | 2023 | VLDB | 5.1955087e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 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 |
| 569 | BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics | 2020 | VLDB | 0.00016348191 |
| 4,213 | SVQ++: Querying for Object Interactions in Video Streams | 2020 | SIGMOD | 6.8279962e-05 |
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