VSS: A Storage System for Video Analytics
Brandon Haynes, Maureen Daum, Dong He, Amrita Mazumdar, Magdalena Balazinska, Alvin Cheung, Luis Ceze
摘要
We present a new video storage system (VSS) designed to decouple high-level video operations from the low-level details required to store and efficiently retrieve video data. VSS is designed to be the storage subsystem of a video data management system (VDBMS) and is responsible for: (1) transparently and automatically arranging the data on disk in an efficient, granular format; (2) caching frequently-retrieved regions in the most useful formats; and (3) eliminating redundancies found in videos captured from multiple cameras with overlapping fields of view. Our results suggest that VSS can improve VDBMS read performance by up to 54%, reduce storage costs by up to 45%, and enable developers to focus on application logic rather than video storage and retrieval.
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引用它的顶会 Paper8
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- CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video AnalyticsJinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam 等USENIX ATC 2022 · 被引用 29 次
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它引用的顶会 Paper6
- BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video AnalyticsDaniel Kang, Peter Bailis, Matei ZahariaVLDB 2020 · 被引用 103 次
- MIRIS: Fast Object Track Queries in VideoFavyen Bastani, Songtao He, Arjun Balasingam, Karthik Gopalakrishnan 等SIGMOD 2020 · 被引用 68 次
- Jointly Optimizing Preprocessing and Inference for DNN-based Visual AnalyticsDaniel Kang, Ankit Mathur, Teja Veeramacheneni, Peter Bailis 等VLDB 2021 · 被引用 50 次
- Panorama: A Data System for Unbounded Vocabulary Querying over VideoYuhao Zhang, Arun KumarVLDB 2020 · 被引用 28 次
- TASM: A Tile-Based Storage Manager for Video AnalyticsMaureen Daum, Brandon Haynes, Dong He, Amrita Mazumdar 等ICDE 2021 · 被引用 19 次
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