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Impact of Video Compression on the Performance of Object Detection Systems for Surveillance Applications. (arXiv:2211.05805v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
This study examines the relationship between H.264 video compression and the
performance of an object detection network (YOLOv5). We curated a set of 50
surveillance videos and annotated targets of interest (people, bikes, and
vehicles). Videos were encoded at 5 quality levels using Constant Rate Factor
(CRF) values in the set {22,32,37,42,47}. YOLOv5 was applied to compressed
videos and detection performance was analyzed at each CRF level. Test results
indicate that the detection performance is generally robust to moderate levels …
applications arxiv compression detection impact performance surveillance systems video video compression