Interactive Demonstration of EVA
Summary: EVA: an end-to-end AI-relational DBMS for video analytics that optimizes complex vision queries and serves as a backend for exploratory video-analytics interfaces (Streamlit/React) and bulk labeling. Seamless Python/Data‑Science (notebooks, Pandas, Matplotlib) and Label Studio integration enables developer-friendly end-to-end CV workflows for data management and labeling. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Gaurav Tarlok Kakkar
- 2. Aryan Rajoria
- 3. Myna Prasanna Kalluraya
- 4. Ashmita Raju
- 5. Jiashen Cao
- 6. Kexin Rong
- 7. Joy Arulraj
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,378 | Mitigating the Impedance Mismatch between Prediction Query Execution and Database Engine | 2025 | SIGMOD | 5.0909804e-05 |
| 10,382 | MAST: Towards Efficient Analytical Query Processing on Point Cloud Data | 2025 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 696 | BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics | 2020 | VLDB | 0.00018048935 |
| 1,388 | MIRIS: Fast Object Track Queries in Video | 2020 | SIGMOD | 0.00012260926 |
| 3,606 | EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views | 2022 | SIGMOD | 6.9260354e-05 |
| 4,641 | VIVA: An End-to-End System for Interactive Video Analytics | 2022 | CIDR | 6.027004e-05 |
| 5,173 | FiGO: Fine-Grained Query Optimization in Video Analytics | 2022 | SIGMOD | 5.6447253e-05 |
| 6,130 | VOCAL: Video Organization and Interactive Compositional AnaLytics | 2022 | CIDR | 5.1962107e-05 |
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