Panorama: A Data System for Unbounded Vocabulary Querying over Video
Summary: Panorama is a domain-agnostic video-query system for unbounded vocabularies, avoiding manual retraining as target entities grow. Its integrated ML/vision/database architecture delivers 2–20× higher inference efficiency with comparable accuracy and strong generalization. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuhao Zhang (University of California San Diego)
- 2. Arun Kumar (University of California San Diego)
BibTeX Citation
@article{zhang_vldb20,
title = {{Panorama: A Data System for Unbounded Vocabulary Querying over Video}},
author = {Zhang, Yuhao and Kumar, Arun},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {4},
pages = {477--491},
doi = {10.14778/3372716.3372721},
url = {https://doi.org/10.14778/3372716.3372721},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
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Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 284 | NoScope: Optimizing Neural Network Queries over Video at Scale | 2017 | VLDB | 0.00022370521 |
| 3,600 | The Role of Massively Multi-Task and Weak Supervision in Software 2.0 | 2019 | CIDR | 7.2709969e-05 |
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