Media Rendering Parameter Control for Dynamic Status Adjustment
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Solution Overview
Problem
Communication systems lack efficient automatic adjustment of media rendering parameters in response to changing user roles and environmental conditions, leading to suboptimal user experiences and increased manual intervention.
Innovation Solution
Incorporating a status detector and parameter controller within endpoints to dynamically adjust parameters such as volume, panning, and talker ID based on status changes, including user actions and network configurations, to prioritize and enhance the rendering of media streams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual intervention is used to adjust media rendering parameters, then user experience can be optimized for specific scenarios, but system complexity increases and response time is delayed
Solution Approach 1:
The system automatically detects status changes (user role transitions, environmental conditions) and adjusts media rendering parameters without requiring manual user intervention. The parameter controller monitors status and autonomously modifies parameters like volume, panning, and talker ID to optimize user experience in real-time.
Solution Approach 2:
The system dynamically changes media rendering parameters (volume, panning, talker ID) in response to detected status changes. By automatically adjusting these parameters based on predefined rules and detected conditions, the system optimizes audio rendering without manual configuration.
2Speed
If automatic parameter adjustment is implemented, then response time to status changes is reduced, but device complexity increases
Solution Approach 1:
The parameter controller continuously monitors status changes and provides feedback-driven automatic adjustment of media rendering parameters. When status changes are detected (such as user role transitions or environmental conditions), the system automatically responds by adjusting parameters to optimize the current state.
Solution Approach 2:
The system performs self-adjustment of parameters without external intervention. The parameter controller autonomously detects status changes and modifies rendering parameters in real-time, eliminating the need for manual configuration while maintaining fast response times.
3Adaptability or versatility
If multiple media streams are rendered simultaneously, then user experience is enhanced with diverse content, but audio clarity and prioritization become difficult to maintain
Solution Approach 1:
The system applies different rendering parameters to different media streams based on their importance and status. Primary streams receive different treatment than secondary streams, with parameters like volume, panning, and talker ID adjusted locally for each stream to maintain audio clarity while supporting diverse content.
Solution Approach 2:
The system dynamically adjusts rendering parameters for multiple streams based on real-time status changes. When a stream becomes primary or secondary, its parameters are automatically modified to maintain appropriate audio clarity and prioritization, allowing flexible management of diverse content.
Data Source
AI summary
In one embodiment, an apparatus can include: a status detector configured to determine a status associated with an input stream; a parameter controller configured to adjust a parameter in response to a change in the status; and a rendering controller configured to receive the input stream, and to provide a rendered stream in response to the input stream and the parameter.