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Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications. (arXiv:2207.10155v1 [cs.CV])
July 22, 2022, 1:12 a.m. | Arian Bakhtiarnia, Błażej Leporowski, Lukas Esterle, Alexandros Iosifidis
cs.CV updates on arXiv.org arxiv.org
Images and video frames captured by cameras placed throughout smart cities
are often transmitted over the network to a server to be processed by deep
neural networks for various tasks. Transmission of raw images, i.e., without
any form of compression, requires high bandwidth and can lead to congestion
issues and delays in transmission. The use of lossy image compression
techniques can reduce the quality of the images, leading to accuracy
degradation. In this paper, we analyze the effect of applying …
analysis applications arxiv city compression cv image performance smart smart city
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