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Keywords = lossless remote video online

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18 pages, 3825 KiB  
Article
A Novel Video Transmission Latency Measurement Method for Intelligent Cloud Computing
by Yiliang Wu, Xue Bai, Yendo Hu and Minghong Chen
Appl. Sci. 2022, 12(24), 12884; https://doi.org/10.3390/app122412884 - 15 Dec 2022
Cited by 4 | Viewed by 3497
Abstract
Low latency video transmission is gaining importance in time-critical applications using real-time cloud-based systems. Cloud-based Virtual Reality (VR), remote control, and AI response systems are emerging use cases that demand low latency and good reliability. Although there are many video transmission schemes that [...] Read more.
Low latency video transmission is gaining importance in time-critical applications using real-time cloud-based systems. Cloud-based Virtual Reality (VR), remote control, and AI response systems are emerging use cases that demand low latency and good reliability. Although there are many video transmission schemes that claim low latency, they vary over different network conditions. Therefore, it is necessary to develop methods that can accurately measure end-to-end latency online, continuously, without any content modification. This research brings these applications one step closer to addressing these next generation use cases. This paper analyzes the cause of end-to-end latency within a video transmission system, and then proposes three methods to measure the latency: timecode, remote online, and lossless remote video online. The corresponding equipment was designed and implemented. The actual measurement of the three methods using related equipment proved that our proposed method can accurately and effectively measure the end-to-end latency of the video transmission system. Full article
(This article belongs to the Special Issue Computational Intelligence in Image and Video Analysis)
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