Video Brightness Adjustment Using Border Luminance and Color Temperature
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Solution Overview
Problem
Background lighting can cause the image of the subject in a video stream to appear darker or brighter than desired, leading to improper viewing on screen during video conferencing.
Innovation Solution
A method and apparatus for adjusting video brightness by analyzing environmental conditions and adjusting the display's border or band luminance and color temperature to optimize subject visibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the display shows the video stream as captured by the input device, then the video content is displayed in real-time, but the subject image may appear darker or brighter than desired due to background lighting conditions
Solution Approach 1:
The system performs preliminary analysis of the video stream to detect environmental lighting conditions before displaying the video content. By analyzing the captured video frames to determine lighting conditions and then pre-adjusting the display parameters accordingly, the system ensures proper subject visibility from the start of video playback without requiring real-time manual intervention.
2Reliability
If the display brightness is adjusted to compensate for background lighting, then subject visibility is improved, but the display may no longer accurately represent the original video capture conditions
Solution Approach 1:
The system applies different quality adjustments to different portions of the display. Specifically, it adjusts the brightness and color temperature of the border or band regions surrounding the video content differently from the central video area. This localized adjustment approach improves subject visibility in the video content while preserving the authentic representation of the original video capture in the adjusted regions, thus maintaining a balance between visibility and authenticity.
3Reliability
If environmental conditions are analyzed and display parameters are dynamically adjusted, then subject visibility is optimized, but the device complexity increases
Solution Approach 1:
The system performs self-service by automatically analyzing the video stream content and environmental lighting conditions, then autonomously adjusting the display parameters without requiring external input or manual configuration. The processor independently determines the appropriate brightness and color temperature adjustments based on the detected conditions, enabling the display system to optimize subject visibility on its own and reduce the need for complex external control mechanisms.
Data Source
AI summary
A method and apparatus for adjusting a display includes receiving a video stream. The video stream is analyzed for one or more environmental conditions. Based upon the analysis, a portion of the display is adjusted.


