Audio Visual Tracking via Environmental Regions
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Solution Overview
Problem
Current video teleconferencing systems lack the ability to automatically adjust camera settings based on multiple subjects and changing activity, leading to suboptimal viewing experiences.
Innovation Solution
A method and system that analyze historical configuration parameters to determine optimal current settings, using a video capture mechanism that switches between different camera configurations based on audio triggers and user input, allowing for dynamic focusing on active subjects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic adjustment of camera settings is implemented, then user engagement and interaction are improved, but device complexity increases
Solution Approach 1:
The system automatically monitors audio levels and configures camera settings without requiring manual user intervention. The configuration control mechanism self-adjusts between primary initial and subsequent configuration parameters based on detected audio triggers, enabling the system to serve itself in optimizing video capture settings.
Solution Approach 2:
The system continuously monitors audio input levels and uses this feedback to dynamically adjust camera configuration parameters. When audio triggers exceed thresholds, the system responds by switching to alternative configuration parameters, creating a closed-loop control system that adapts to changing teleconference conditions.
2Reliability
If historical configuration parameters are analyzed to determine optimal settings, then viewing experience is enhanced, but processing time increases
Solution Approach 1:
The system pre-processes and stores configuration parameter representations from historical video data during initial system operation or setup phases. By preparing these parameter representations in advance, the system eliminates the need for real-time analysis during active teleconferencing, thus avoiding processing delays during critical viewing moments.
Solution Approach 2:
The system dynamically selects between using pre-stored configuration parameter representations and performing new analysis based on current teleconference conditions. The configuration control mechanism adapts its behavior by switching between relying on historical data and performing fresh analysis, optimizing the balance between processing time and viewing experience quality.
Data Source
AI summary
A method, apparatus, and electronic device for audio-video conferencing are disclosed. A memory may store an initial historical configuration parameter representation of an initial historical configuration parameter for a set of historical video data. A processor may determine a primary initial configuration parameter based on the initial historical configuration parameter representation. An audio-video capture mechanism may capture a current set of video data using the primary initial configuration parameter. An audio input may receive an audio trigger. A configuration control mechanism may switch automatically between the primary initial configuration parameter and a primary subsequent configuration parameter based on the audio trigger.