VSS: A Storage System for Video Analytics
VSS: A Storage System for Video Analytics
复制标题
DOI：
10.1145/3448016.3459242
复制
发表时间：
2021-03
期刊：
影响因子：
--
通讯作者：
Brandon Haynes;Dong He
中科院分区：
文献类型：
--
作者：
Brandon Haynes;Dong He
我们提出了一种新的视频存储系统（VSS），旨在解耦高层次的视频操作所需的低层次的细节存储和有效地检索视频数据。VSS被设计为视频数据管理系统（VDBMS）的存储子系统，负责：（1）以高效的粒度格式透明地自动排列磁盘上的数据;（2）以最有用的格式缓存频繁检索的区域;（3）消除从具有重叠视场的多个摄像机捕获的视频中发现的冗余。我们的研究结果表明，VSS可以提高VDBMS读取性能高达54%，降低存储成本高达45%，并使开发人员能够专注于应用程序逻辑，而不是视频存储和检索。
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.