Green Metadata for Display Energy Adaptation
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Solution Overview
Problem
The rapid depletion of battery levels in mobile devices due to advanced display resolutions, especially during video playback which requires high-frequency frame buffer replenishment, necessitates a solution to reduce energy consumption without compromising video quality.
Innovation Solution
Metadata-based display adaptation is employed, where green metadata derived from image statistics controls the backlight or supply voltage of LCD and OLED displays respectively, optimizing power consumption as a monotonic function of these parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If display resolution is advanced significantly, then display quality is improved, but battery life deteriorates
Solution Approach 1:
The patent implements dynamic adjustment of display parameters (backlight level for LCD, supply voltage for OLED) based on real-time analysis of video content characteristics. The system continuously adapts display settings to match scene requirements, using metrics such as luminance histograms and scene complexity to modulate power consumption dynamically rather than maintaining fixed high-resolution settings throughout playback.
Solution Approach 2:
The system changes physical parameters of the display system by adjusting backlight intensity levels for LCD displays and supply voltage for OLED displays based on content analysis. These parameter modifications are driven by computed metrics from video frames, allowing the display to operate at optimal power levels while maintaining perceived quality through intelligent parameter selection.
2Productivity
If high-frequency frame buffer replenishment is performed, then video playback quality is improved, but power consumption increases
Solution Approach 1:
The system applies partial action by selectively updating frame buffers only when content changes warrant full refresh rates. By analyzing temporal redundancy and scene complexity, the system reduces unnecessary high-frequency updates while maintaining visual quality during static or slowly changing scenes, thereby reducing power consumption without sacrificing perceived video quality.
3Illumination intensity
If backlight level is increased, then display brightness is improved, but power consumption increases
Solution Approach 1:
The system employs feedback mechanisms by continuously analyzing video content characteristics (luminance distribution, scene brightness requirements) and using this information to adjust backlight levels dynamically. The feedback loop ensures that backlight intensity matches actual content requirements, avoiding unnecessary high power consumption during dark or low-contrast scenes while maintaining adequate brightness when needed.
4Productivity
If supply voltage is increased, then OLED performance is improved, but power consumption increases
Solution Approach 1:
The system dynamically adjusts supply voltage to OLED displays based on real-time content analysis, modifying voltage levels to match scene requirements. During dark scenes or low-activity periods, voltage is reduced to minimize power consumption, while during high-contrast or visually demanding content, voltage is increased to maintain performance, creating a dynamic balance between performance and energy usage.
Data Source
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AI summary
A method for providing display adaptation metadata (DAM) to a user equipment (UE) at a system level is provided. The method includes configuring DAM for storage in an ISO Base Media File Format (ISOBMFF). The method also includes transmitting the DAM to a UE to control an energy consumption of a presentation on a display of the UE. A method for providing display adaptation metadata (DAM) to a user equipment (UE) at a system level is provided. The method includes configuring DAM for carriage in an MPEG-2 transport system (M2TS). The method also includes transmitting the DAM to a UE to control an energy consumption of a presentation on a display of the UE.