Dynamic Audio Stream Adjustment Based on Video Camera Orientation
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Solution Overview
Problem
Existing video communication systems struggle to optimize audio presentation during video communication sessions, often resulting in interference between first-person audio and environmental audio.
Innovation Solution
The system dynamically adjusts audio streams based on video characteristics, such as camera orientation, by augmenting or minimizing environment audio and first-person audio to enhance user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If both first-person audio and environmental audio are presented simultaneously, then complete audio information is provided, but audio interference occurs and user experience deteriorates
Solution Approach 1:
The system dynamically adjusts audio stream characteristics based on video content analysis. When the video shows the user's face (self-view), the system emphasizes first-person audio and suppresses environmental audio. When the video shows the environment (outward-facing), the system emphasizes environmental audio and suppresses first-person audio. This dynamic adaptation resolves the contradiction by making the audio mix context-dependent rather than static.
Solution Approach 2:
The system applies different audio processing qualities to different audio streams based on the local context of the video content. First-person audio receives enhancement when the camera faces the user, while environmental audio receives enhancement when the camera faces outward. This localized quality adjustment ensures that the dominant audio stream matches the visual focus, eliminating interference while preserving information completeness.
2Ease of operation
If audio streams are dynamically adjusted based on video characteristics, then user experience improves, but system complexity increases
Solution Approach 1:
The system implements a feedback loop where video content is continuously analyzed to determine camera orientation and dominant visual elements. This video analysis feedback drives real-time adjustments to audio stream characteristics. The feedback mechanism automatically adapts audio presentation without user intervention, improving experience while managing complexity through automated control.
Solution Approach 2:
The system performs self-adjustment of audio characteristics based on its own video content analysis. No external control or manual configuration is needed - the system autonomously determines when to emphasize first-person versus environmental audio based on what it detects in the video stream. This self-service approach simplifies the user interface while implementing sophisticated audio management.
Data Source
AI summary
Some examples of the disclosure are directed to systems and methods for augmenting and/or minimizing environment audio based on video characteristics associated with a video communication session facilitated by a video communications application. The video characteristics include activation of an outward facing camera. In response to detecting the activation of an outward facing camera, an electronic device augments an environment audio stream associated with the video communication session and attenuates a first person audio stream associated with the video communication session such that the user listening to the audio stream hears audio that has the environmental audio emphasized while the first person audio is deemphasized. In response to detecting the activation of an inward facing camera, the device emphasizes the first person audio stream and deemphasizes the environmental audio stream.