Back to papers
Top-K Deep Video Analytics: A Probabilistic Approach
Summary: Everest enables efficient Top-K video analytics with probabilistic guarantees. Integrates deep CV models, uncertain data management, and Top-K query processing to rank top frames; yields 14.3x–20.6x efficiency on real videos and Visual Road.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6068
- Venue
- SIGMOD
- Year
- 2021
- Pagerank
- 5.1636368e-05
- Overall Rank
- 6,184 | 57.03%
- DOI
-
10.1145/3448016.3452786
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 331 |
The Query By Image Content (QBIC) System |
1995 |
SIGMOD |
0.00027199905 |
| 332 |
Accelerating Machine Learning Inference with Probabilistic Predicates |
2018 |
SIGMOD |
0.00027173479 |
| 469 |
On Saying "Enough Already!" in SQL |
1997 |
SIGMOD |
0.00022397468 |
| 694 |
BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics |
2020 |
VLDB |
0.00018031141 |
| 1,390 |
MIRIS: Fast Object Track Queries in Video |
2020 |
SIGMOD |
0.00012242018 |
| 1,544 |
KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing |
2015 |
SIGMOD |
0.00011438274 |
| 1,703 |
Ranking Queries on Uncertain Data: A Probabilistic Threshold Approach |
2008 |
SIGMOD |
0.00010820803 |
| 2,489 |
STRG-Index: Spatio-Temporal Region Graph Indexing for Large Video Databases |
2005 |
SIGMOD |
8.6507319e-05 |
| 2,536 |
DeepLens: Towards a Visual Data Management System |
2019 |
CIDR |
8.5817195e-05 |
| 2,892 |
VISTA: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale |
2020 |
SIGMOD |
7.9570135e-05 |
| 3,212 |
Panorama: A Data System for Unbounded Vocabulary Querying over Video |
2020 |
VLDB |
7.3772955e-05 |
| 3,624 |
SVQ: Streaming Video Queries |
2019 |
SIGMOD |
6.9013718e-05 |
| 4,078 |
Visual Road: A Video Data Management Benchmark |
2019 |
SIGMOD |
6.4633815e-05 |
| 4,232 |
Efficient and Cost-effective Techniques for Browsing and Indexing Large Video Databases |
2000 |
SIGMOD |
6.3324137e-05 |
| 5,029 |
Crowdsourced Top-k Queries by Confidence-Aware Pairwise Judgments |
2017 |
SIGMOD |
5.7447454e-05 |
| 5,545 |
Cleaning Uncertain Data with Quality Guarantees |
2008 |
VLDB |
5.447418e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 7,922 |
Video-zilla: An Indexing Layer for Large-Scale Video Analytics |
2022 |
SIGMOD |
4.6114931e-05 |
| 10,947 |
Predictive and Near-Optimal Sampling for View Materialization in Video Databases |
2024 |
SIGMOD |
4.1905499e-05 |
| 8,646 |
Optimizing Video Selection LIMIT Queries With Commonsense Knowledge |
2024 |
VLDB |
4.4720866e-05 |
| 3,599 |
Spatial and Temporal Constrained Ranked Retrieval over Videos |
2022 |
VLDB |
6.92963e-05 |
| 4,947 |
Evaluating Temporal Queries Over Video Feeds |
2021 |
SIGMOD |
5.8107138e-05 |
| 11,064 |
Optimizing Video Queries with Declarative Clues |
2024 |
VLDB |
4.1905499e-05 |
| 3,212 |
Panorama: A Data System for Unbounded Vocabulary Querying over Video |
2020 |
VLDB |
7.3772955e-05 |
| 1,655 |
Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine |
2019 |
CIDR |
0.000109771 |
| 6,004 |
DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation |
2022 |
VLDB |
5.2365238e-05 |
| 9,772 |
Everest: A Top-K Deep Video Analytics System |
2022 |
SIGMOD |
4.2815042e-05 |