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
- 2. Francisco Romero
- 3. Peter Bailis
- 4. Christos Kozyrakis
- 5. Matei Zaharia
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,565 | Optimizing Video Analytics with Declarative Model Relationships | 2023 | VLDB | 6.0746821e-05 |
| 5,206 | ThalamusDB: Approximate Query Processing on Multi-Modal Data | 2024 | SIGMOD | 5.625641e-05 |
| 6,327 | The Tensor Data Platform: Towards an AI-centric Database System | 2023 | CIDR | 5.1035567e-05 |
| 8,706 | nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems | 2024 | VLDB | 4.4587004e-05 |
| 9,129 | Spatialyze: A Geospatial Video Analytics System with Spatial-Aware Optimizations | 2024 | VLDB | 4.3861016e-05 |
| 9,361 | Interactive Demonstration of EVA | 2023 | VLDB | 4.3475379e-05 |
| 10,394 | MAST: Towards Efficient Analytical Query Processing on Point Cloud Data | 2025 | SIGMOD | 4.1905499e-05 |
| 10,527 | High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration | 2025 | SIGMOD | 4.1905499e-05 |
| 10,675 | Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse | 2025 | VLDB | 4.1905499e-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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