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 (Georgia Institute of Technology)
- 2. Aryan Rajoria (Bennett University)
- 3. Myna Prasanna Kalluraya (Georgia Institute of Technology)
- 4. Ashmita Raju (Georgia Institute of Technology)
- 5. Jiashen Cao (Georgia Institute of Technology)
- 6. Kexin Rong (Georgia Institute of Technology)
- 7. Joy Arulraj (Georgia Institute of Technology)
BibTeX Citation
@article{kakkar_vldb23,
title = {{Interactive Demonstration of EVA}},
author = {Kakkar, Gaurav Tarlok and Rajoria, Aryan and Kalluraya, Myna Prasanna and Raju, Ashmita and Cao, Jiashen and Rong, Kexin and Arulraj, Joy},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {12},
pages = {4082--4085},
doi = {10.14778/3611540.3611626},
url = {https://doi.org/10.14778/3611540.3611626},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,742 | Mitigating the Impedance Mismatch between Prediction Query Execution and Database Engine | 2025 | SIGMOD | 5.6910432e-05 |
| 11,111 | MAST: Towards Efficient Analytical Query Processing on Point Cloud Data | 2025 | SIGMOD | 4.9793485e-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 |
|---|---|---|---|---|
| 541 | BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics | 2020 | VLDB | 0.00016657685 |
| 1,024 | MIRIS: Fast Object Track Queries in Video | 2020 | SIGMOD | 0.00012430491 |
| 2,787 | EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views | 2022 | SIGMOD | 8.0158999e-05 |
| 3,884 | FiGO: Fine-Grained Query Optimization in Video Analytics | 2022 | SIGMOD | 6.948464e-05 |
| 4,287 | VIVA: An End-to-End System for Interactive Video Analytics | 2022 | CIDR | 6.6869736e-05 |
| 5,970 | VOCAL: Video Organization and Interactive Compositional AnaLytics | 2022 | CIDR | 5.9316412e-05 |
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Semantically Similar Papers
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|---|---|---|---|---|
| 1 | 2,096 | Vizdom: Interactive Analytics through Pen and Touch | 2015 | VLDB |
| 2 | 11,791 | Demonstration of OpenDBML, a Framework for Democratizing In-Database Machine Learning | 2023 | VLDB |
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| 4 | 4,449 | Data Debugging and Exploration with Vizier | 2019 | SIGMOD |
| 5 | 11,647 | PD-Explain: A Unified Python-native Framework for Query Explanations Over DataFrames | 2024 | VLDB |
| 6 | 13,601 | DA-Studio: An Agentic System for End-to-End Data Analysis | 2026 | VLDB |
| 7 | 12,433 | AIDE: An Automatic User Navigation System for Interactive Data Exploration | 2015 | VLDB |
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| 9 | 12,179 | Making an RDBMS Data Scientist Friendly: Advanced In-database Interactive Analytics with Visualization Support | 2019 | VLDB |
| 10 | 2,787 | EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views | 2022 | SIGMOD |