Luminance Adaptation System for HDR Video Comfort
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Solution Overview
Problem
High dynamic range (HDR) content often features sudden and extreme changes in brightness, which can be uncomfortable for viewers and disrupt their ability to adapt to changing luminance levels.
Innovation Solution
A system that analyzes video assets using models of visual adaptation to predict and mitigate excessive luminance changes, allowing for adjustments to be made either during content production or at the point of consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If HDR content features sudden and extreme changes in brightness, then the luminance range and visual impact are improved, but viewer comfort and adaptability deteriorate
Solution Approach 1:
The system performs preliminary analysis of video assets to predict luminance changes before they occur. By detecting scene transitions and predicting the luminance trajectory in advance, the system can prepare adaptation parameters ahead of time, allowing the viewer's visual system to gradually adjust rather than being suddenly exposed to extreme luminance changes.
Solution Approach 2:
The system incorporates models of visual adaptation that simulate the viewer's luminance adaptation state in real-time. By continuously monitoring the predicted adaptation state and comparing it with the actual luminance changes in the HDR content, the system adjusts the luminance transitions dynamically to match the viewer's adapting eyes, thereby maintaining comfort while preserving HDR quality.
2Object-affected harmful factors
If luminance changes are made gradual to match viewer adaptation, then viewer comfort is improved, but the visibility and contrast of extreme luminance scenes deteriorate
Solution Approach 1:
The system dynamically adjusts the luminance transition parameters based on the viewer's predicted adaptation state. Rather than applying a fixed gradual transition, the system continuously adapts the rate and magnitude of luminance changes in real-time, allowing for high contrast when the viewer is adapted and gradual transitions when adaptation is needed, thus maintaining both comfort and visibility.
Solution Approach 2:
The system changes multiple luminance parameters simultaneously including brightness, contrast, and transition timing based on the predicted adaptation state. By coordinating these parameter changes, the system can maintain the visual impact of extreme luminance scenes while ensuring the transitions are comfortable for the viewer's adapting eyes.
3Object-affected harmful factors
If luminance adaptation time is extended to match human visual adaptation, then viewer comfort is improved, but the viewing experience duration and engagement deteriorate
Solution Approach 1:
By performing preliminary analysis of the video content and predicting luminance changes in advance, the system can start the adaptation process before the actual luminance change occurs. This allows the viewer's visual system to begin adjusting gradually, reducing the overall adaptation time needed while maintaining comfort throughout the viewing experience.
Data Source
AI summary
One or more media contents are received. A viewer's light adaptive states are predicted as a function of time as if the viewer is watching display mapped images derived from the one or more media contents. The viewer's light adaptive states are used to detect an excessive change in luminance in a specific media content portion of the one or more media contents. The excessive change in luminance in the specific media content portion of the one or more media contents is caused to be reduced while the viewer is watching one or more corresponding display mapped images derived from the specific media content portion of the one or more media contents.