VSS: A Storage System for Video Analytics-Reference-Cited by-同舟云学术

VSS: A Storage System for Video Analytics

Published:2021-06-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 International Conference on Management of Data
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Author:

Haynes Brandon¹,Daum Maureen²,He Dong²,Mazumdar Amrita²,Balazinska Magdalena²,Cheung Alvin³,Ceze Luis²

Affiliation:

1. Gray Systems Lab & Microsoft, Redmond, WA, USA

2. University of Washington, Seattle, WA, USA

3. University of California, Berkeley, Berkeley, CA, USA

Funder

NSF (National Science Foundation)

DARPA

DARPA CRISP

DARPA RC Center

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3448016.3459242

Reference56 articles.

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2. Favyen Bastani Songtao He Arjun Balasingam Karthik Gopalakrishnan Mohammad Alizadeh Hari Balakrishnan Michael J. Cafarella Tim Kraska and Sam Madden. 2020 a. MIRIS: Fast Object Track Queries in Video. In SIGMOD. 1907--1921. Favyen Bastani Songtao He Arjun Balasingam Karthik Gopalakrishnan Mohammad Alizadeh Hari Balakrishnan Michael J. Cafarella Tim Kraska and Sam Madden. 2020 a. MIRIS: Fast Object Track Queries in Video. In SIGMOD. 1907--1921.

3. b. Vaas: Video Analytics at Scale;Bastani Favyen;VLDB,2020

4. Doug Beaver Sanjeev Kumar Harry C. Li Jason Sobel and Peter Vajgel. 2010. Finding a Needle in Haystack: Facebook's Photo Storage. In OSDI. 47--60. Doug Beaver Sanjeev Kumar Harry C. Li Jason Sobel and Peter Vajgel. 2010. Finding a Needle in Haystack: Facebook's Photo Storage. In OSDI. 47--60.

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