Video Quality Switching Using Predictive Volume Thresholds
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Solution Overview
Problem
Video conferencing systems experience a time delay when a non-speaking user transitions to a speaking user, as the lower quality video feed takes 3-4 seconds to switch to a higher quality feed, affecting user experience and resource management.
Innovation Solution
A method where a first computing device in a multiway video session sends a video feed with a pre-determined quality level to a second device, determining that a volume level reaches a threshold, and promptly switches to a higher quality level based on this determination, potentially using predictive analysis to anticipate the new speaking user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the system uses scaling and layering to display speakers on larger images with higher quality video feed, then the visual quality for active speakers is improved, but a time delay of 3-4 seconds occurs when switching video quality from non-speakers to speakers
Solution Approach 1:
The system proactively sends higher quality video feeds to the server before the user actually speaks, based on predictive analysis of conversation patterns. This preliminary action ensures that when the user does speak, the high quality feed is already available, eliminating the 3-4 second switching delay while maintaining adaptive resource management.
2Use of energy by moving object
If the system sends lower quality video feed to non-speaking users, then network and system resources are optimized, but user experience deteriorates when there is a delay in switching to higher quality feed upon becoming a speaker
Solution Approach 1:
The system predicts which users are likely to speak next based on conversation analysis and proactively sends them higher quality video feeds in advance. This ensures seamless transitions when users become active speakers, improving user experience while maintaining resource efficiency through selective prediction-based quality adjustment.
Solution Approach 2:
The system dynamically adjusts video quality based on real-time conversation context and predicted speaker transitions. By continuously analyzing conversation patterns and adapting quality levels proactively, the system optimizes both resource usage and user experience, ensuring high quality feeds are available exactly when needed without unnecessary delays.
3Ease of operation
If the system switches video feed quality immediately when a non-speaking user becomes a speaking user, then user experience is improved, but network and system resources are wasted during the transition period
Solution Approach 1:
The system uses predictive analysis to determine which users are likely to speak next based on conversation patterns, and proactively sends higher quality video feeds only to those predicted speakers. This approach improves user experience by eliminating switching delays while avoiding resource waste by sending high quality feeds only when and where needed, based on intelligent prediction rather than blanket switching.
Data Source
AI summary
A method, computer program product, and computer system for sending, by a first computing device, a video feed with a pre-determined quality level to a second computing device. The first computing device determines that a volume level associated with the video feed reaches a threshold. The first computing device sends the video feed with a higher quality level to the second computing device based upon, at least in part, determining that the volume level associated with the video feed reaches the threshold.