Wireless Camera Stream Control for Low-Latency 5G Replay
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Solution Overview
Problem
Existing wireless video camera systems using 5G networks face bandwidth congestion and latency issues when multiple cameras transmit high-quality video simultaneously, limiting the availability of high-quality replay content.
Innovation Solution
A stream controller predicts the likelihood of a wireless video camera to be the next live camera by considering distance and angle of view, and instructs it to transmit high-quality video in advance, while other cameras provide lower quality, optimizing radio resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple wireless video cameras transmit high-quality video simultaneously over 5G networks, then the availability of high-quality replay content is improved, but bandwidth congestion and latency issues worsen
Solution Approach 1:
The system performs preliminary actions by having cameras that are likely to be selected as the next live camera transmit high-quality video in advance before actually needed. The stream controller predicts which cameras will be needed for replays and prepares their high-quality streams beforehand, so when a replay is requested, the high-quality content is already available without causing bandwidth congestion at the moment of need.
2Manufacturing precision
If all wireless video cameras transmit high-quality video simultaneously, then the quality of replay content is improved, but radio resource exhaustion worsens
Solution Approach 1:
The system applies local quality by having different cameras transmit at different quality levels based on their specific situation. Only cameras that are predicted to be the next live camera or currently selected as live camera transmit high-quality video, while other cameras transmit at lower quality. This localized application of high quality only where and when needed optimizes radio resource usage while maintaining replay content quality.
Solution Approach 2:
The system dynamically changes the transmission quality parameter of cameras based on their likelihood of being selected. The stream controller adjusts each camera's transmission quality from high to low or vice versa based on real-time predictions and current selection, allowing the system to adapt radio resource allocation dynamically rather than using a fixed quality level for all cameras.
3Reliability
If high-quality video is transmitted from all cameras, then the availability of high-quality feeds for replay is improved, but bandwidth efficiency worsens
Solution Approach 1:
The system prepares high-quality video feeds in advance for only those cameras that are predicted to be needed for replays. By predicting which cameras will be selected next and preparing their high-quality streams beforehand, the system ensures high-quality feed availability without wasting bandwidth on cameras that won't be needed, thus maintaining bandwidth efficiency.
4Manufacturing precision
If wireless cameras transmit high-quality video, then the production quality is improved, but latency increases
Solution Approach 1:
The system reduces latency by performing preliminary actions - preparing high-quality video streams in advance for cameras that are predicted to be selected next. This way, when a camera is actually selected for live or replay, the high-quality stream is already ready and can be switched to immediately without the latency that would result from starting high-quality transmission after selection.
Data Source
AI summary
A method of providing video content to a production studio by selecting an input video stream from a plurality of wireless video cameras.