VISE: Vehicle Image Search Engine with Traffic Camera Images
Summary: VISE enables similarity search over low-resolution traffic cam frames to trace vehicles when high-res footage is unavailable. It combines transfer learning with CNN refinements and a scalable NN index for real-time retrieval over millions of vehicle features. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Hyewon Choi (University of Toronto)
- 2. Erkang Zhu (University of Toronto)
- 3. Arsala Bangash (University of Toronto)
- 4. Renee J. Miller (Northeastern University)
BibTeX Citation
@article{choi_vldb19,
title = {{VISE: Vehicle Image Search Engine with Traffic Camera Images}},
author = {Choi, Hyewon and Zhu, Erkang and Bangash, Arsala and Miller, Renee J.},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {12},
pages = {1842--1845},
doi = {10.14778/3352063.3352080},
url = {https://doi.org/10.14778/3352063.3352080},
year = {2019}
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