Reference Video Feedback for Cellular Live Stream Quality
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Solution Overview
Problem
Cellular networks, particularly 5G networks, exhibit unpredictability leading to degraded video presentation due to congestion and packet loss, affecting video production projects with dispersed teams.
Innovation Solution
Implementing a closed-loop video quality measurement feedback system where reference video streams are encoded alongside live action streams, allowing for real-time adjustments of video encoding parameters and cellular network packet transmission parameters based on feedback from a video decoder node, using video encoding parameter feedback and cellular network feedback to improve video quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If video streams are transmitted over cellular networks to dispersed video production team members, then real-time remote video monitoring is enabled, but video quality degrades due to network congestion and packet loss
Solution Approach 1:
The system performs preliminary encoding of reference video streams at the encoder node before transmission, and prepares comparison video streams at the decoder node in advance. This allows the feedback mechanism to operate proactively, adjusting encoding parameters before significant quality degradation occurs during network transmission.
Solution Approach 2:
The patent implements a closed-loop feedback system where the decoder node compares received reference video streams with local comparison video streams, generates quality assessment feedback, and sends it back to the encoder node. The encoder node uses this feedback to dynamically adjust encoding parameters, continuously improving video quality despite network conditions.
2Reliability
If video encoding parameters are adjusted to improve video quality, then video presentation quality improves, but system complexity increases due to feedback loops and parameter adjustments
Solution Approach 1:
The system implements self-service through automated feedback loops where the decoder autonomously compares video streams, assesses quality, and sends feedback to the encoder. The encoder automatically adjusts encoding parameters based on received feedback without manual intervention, allowing the system to self-optimize video quality while managing complexity through automation.
3Reliability
If reference video streams are encoded and transmitted alongside live action video streams, then video quality feedback can be generated, but network bandwidth consumption increases
Solution Approach 1:
The system applies local quality by encoding reference video streams with specific encoding parameters tailored for feedback purposes, rather than using uniform high-quality encoding for all video streams. This allows optimized bandwidth usage while maintaining sufficient quality for accurate feedback generation.
Solution Approach 2:
The system uses partial action by transmitting only reference video streams (not full-resolution live action streams) for feedback purposes. This provides sufficient information for quality assessment while consuming significantly less network bandwidth than transmitting complete video content.
Data Source
AI summary
Approaches to preventing degraded video presentation use reference video quality measurement feedback from a video decoder node that is receiving live action video streams from a video encoder across a cellular network. A reference video stream is encoded along with the live action video streams, and the video decoder node compares the decoded reference video stream with a local copy to determine video quality. The video decoder node provides video encoding parameter feedback for adjusting the encoding and/or provides cellular network feedback for adjusting a transmission parameter for data traffic through the cellular network (from the video encoder node to the video decoder node). Solutions are disclosed for implementation at the video encoder, at the video decoder, and within the cellular network. For example, different compression codecs may be specified, and bit rates, frame, rates, key frame intervals, and/or bit depth may be automatically (immediately) adjusted without requiring human intervention.