VIVA: An End-to-End System for Interactive Video Analytics
Summary: VIVA provides end-to-end interactive video analytics by co-optimizing queries across structured/unstructured data, storage, and heterogeneous DNN accelerators. Innovations: relational hints, a mixed-data query optimizer, an embedding cache, and a video file manager + accelerator engine. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Daniel Kang (Stanford University)
- 2. Francisco Romero (Stanford University)
- 3. Peter Bailis (Stanford University)
- 4. Christos Kozyrakis (Stanford University)
- 5. Matei Zaharia (Databricks; Stanford University)
BibTeX Citation
@inproceedings{kang_cidr22,
address = {Amsterdam, Netherlands},
series = {{CIDR} '22},
title = {{VIVA: An End-to-End System for Interactive Video Analytics}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Kang, Daniel and Romero, Francisco and Bailis, Peter and Kozyrakis, Christos and Zaharia, Matei},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,225 | ThalamusDB: Approximate Query Processing on Multi-Modal Data | 2024 | SIGMOD | 8.7996555e-05 |
| 3,782 | Optimizing Video Analytics with Declarative Model Relationships | 2023 | VLDB | 7.0029633e-05 |
| 5,795 | The Tensor Data Platform: Towards an AI-centric Database System | 2023 | CIDR | 5.9755414e-05 |
| 9,009 | nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems | 2024 | VLDB | 5.2245336e-05 |
| 9,333 | Spatialyze: A Geospatial Video Analytics System with Spatial-Aware Optimizations | 2024 | VLDB | 5.1795582e-05 |
| 9,658 | Interactive Demonstration of EVA | 2023 | VLDB | 5.1298036e-05 |
| 11,181 | MAST: Towards Efficient Analytical Query Processing on Point Cloud Data | 2025 | SIGMOD | 4.9605343e-05 |
| 11,273 | High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration | 2025 | SIGMOD | 4.9605343e-05 |
| 11,372 | Deja Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse | 2025 | VLDB | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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