Video-zilla: An Indexing Layer for Large-Scale Video Analytics
Summary: Video-zilla: standalone indexing between video stores and analytics. It defines semantic video streams (SVS) as video units capturing scenes, enabling an index that clusters feeds across cameras for sublinear analytics and up to 14x resource savings. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bo Hu
- 2. Peizhen Guo
- 3. Wenjun Hu
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,806 | The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format | 2024 | SIGMOD | 4.2805224e-05 |
| 10,503 | Self-Enhancing Video Data Management System for Compositional Events with Large Language Models | 2025 | SIGMOD | 4.1945683e-05 |
| 10,518 | High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration | 2025 | SIGMOD | 4.1945683e-05 |
| 10,944 | Predictive and Near-Optimal Sampling for View Materialization in Video Databases | 2024 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 91 | M-tree: An Efficient Access Method for Similarity Search in Metric Spaces | 1997 | VLDB | 0.0005181666 |
| 316 | NoScope: Optimizing Neural Network Queries over Video at Scale | 2017 | VLDB | 0.00027988668 |
| 696 | BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics | 2020 | VLDB | 0.00018048935 |
| 942 | A Formal Approach to Finding Explanations for Database Queries | 2014 | SIGMOD | 0.00015155714 |
| 1,022 | DBSherlock: A Performance Diagnostic Tool for Transactional Databases | 2016 | SIGMOD | 0.00014614917 |
| 1,388 | MIRIS: Fast Object Track Queries in Video | 2020 | SIGMOD | 0.00012260926 |
| 2,154 | DIFF: A Relational Interface for Large-Scale Data Explanation | 2019 | VLDB | 9.4208667e-05 |
| 4,269 | VSS: A Storage System for Video Analytics | 2021 | SIGMOD | 6.306798e-05 |
| 5,039 | VisualWorldDB: A DBMS for the Visual World | 2020 | CIDR | 5.7425824e-05 |
| 5,290 | LightDB: A DBMS for Virtual Reality Video | 2018 | VLDB | 5.5828169e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,657 | Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine | 2019 | CIDR | 0.00010987105 |
| 3,604 | Spatial and Temporal Constrained Ranked Retrieval over Videos | 2022 | VLDB | 6.9301368e-05 |
| 6,877 | Extract-Transform-Load for Video Streams | 2023 | VLDB | 4.8974054e-05 |
| 8,672 | Optimizing Video Selection LIMIT Queries With Commonsense Knowledge | 2024 | VLDB | 4.4710897e-05 |
| 3,206 | Panorama: A Data System for Unbounded Vocabulary Querying over Video | 2020 | VLDB | 7.3826363e-05 |
| 11,061 | Optimizing Video Queries with Declarative Clues | 2024 | VLDB | 4.1945683e-05 |
| 9,765 | TVM: A Tile-based Video Management Framework | 2024 | VLDB | 4.2856106e-05 |
| 4,950 | Evaluating Temporal Queries Over Video Feeds | 2021 | SIGMOD | 5.8104133e-05 |
| 4,666 | Towards Effective Indexing for Very Large Video Sequence Database | 2005 | SIGMOD | 6.0124339e-05 |
| 4,232 | Efficient and Cost-effective Techniques for Browsing and Indexing Large Video Databases | 2000 | SIGMOD | 6.3377333e-05 |