VSS: A Storage System for Video Analytics [Technical Report]

Abstract

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 frequentlyretrieved 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.

Cost Minimization of Cloud Services for On-Demand Video Streaming

“…Balamurugan et al [11] proposed an algorithm that aims to eliminate duplicate video without affecting the unique video data for video surveillance systems. Their proposed algorithm achieves a high efficiency of saving more storage in the system and thus it reduces the storage cost Haynes et al [12] developed a system for video storage that improves the efficiency of storing streaming by up to 45% and reduces the storage cost by up 54 %. Their scheme manages video data and eliminates video redundancies from the storage system.…”