A Novel Video Transmission Latency Measurement Method for Intelligent Cloud Computing
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 transmi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-12-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/12/24/12884 |
| _version_ | 1797461540105879552 |
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| author | Yiliang Wu Xue Bai Yendo Hu Minghong Chen |
| author_facet | Yiliang Wu Xue Bai Yendo Hu Minghong Chen |
| author_sort | Yiliang Wu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T17:21:49Z |
| format | Article |
| id | doaj.art-2321fc4ee2a24af9ba001d8b1f67b4a5 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T17:21:49Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-2321fc4ee2a24af9ba001d8b1f67b4a52023-11-24T13:06:27ZengMDPI AGApplied Sciences2076-34172022-12-0112241288410.3390/app122412884A Novel Video Transmission Latency Measurement Method for Intelligent Cloud ComputingYiliang Wu0Xue Bai1Yendo Hu2Minghong Chen3College of Ocean Information Engineering, Jimei University, Xiamen 361021, ChinaCollege of Ocean Information Engineering, Jimei University, Xiamen 361021, ChinaCollege of Ocean Information Engineering, Jimei University, Xiamen 361021, ChinaCollege of Ocean Information Engineering, Jimei University, Xiamen 361021, ChinaLow 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.https://www.mdpi.com/2076-3417/12/24/12884real-time videotimecoderemote onlinelossless remote video online |
| spellingShingle | Yiliang Wu Xue Bai Yendo Hu Minghong Chen A Novel Video Transmission Latency Measurement Method for Intelligent Cloud Computing Applied Sciences real-time video timecode remote online lossless remote video online |
| title | A Novel Video Transmission Latency Measurement Method for Intelligent Cloud Computing |
| title_full | A Novel Video Transmission Latency Measurement Method for Intelligent Cloud Computing |
| title_fullStr | A Novel Video Transmission Latency Measurement Method for Intelligent Cloud Computing |
| title_full_unstemmed | A Novel Video Transmission Latency Measurement Method for Intelligent Cloud Computing |
| title_short | A Novel Video Transmission Latency Measurement Method for Intelligent Cloud Computing |
| title_sort | novel video transmission latency measurement method for intelligent cloud computing |
| topic | real-time video timecode remote online lossless remote video online |
| url | https://www.mdpi.com/2076-3417/12/24/12884 |
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