Display Power Management via Metadata-Driven Drive Modification
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Solution Overview
Problem
Existing display technologies face challenges in efficiently managing power consumption, particularly when rendering high dynamic range (HDR) content, which can lead to component failure and increased energy costs.
Innovation Solution
The implementation of metadata-based power management in displays, which involves receiving image data and power metadata, determining the necessary drive modifications for light-emitting elements, and performing power management to adjust the driving of these elements relative to manufacturer-determined thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If displays render HDR content at high luminance levels, then image quality and dynamic range are improved, but power consumption increases and component reliability deteriorates
Solution Approach 1:
The system performs preliminary analysis of the image content to predict future power consumption requirements. By analyzing metadata and image characteristics in advance, the display can prepare energy storage (e.g., charging capacitors) before high-power moments occur, enabling temporary luminance boosts without sustained high power consumption that would damage components.
Solution Approach 2:
The display dynamically adjusts its operating state based on real-time power availability and content requirements. The system transitions between different power modes (standard, enhanced, peak) depending on the instantaneous luminance demands of the content being displayed, allowing high luminance output only when energy is available rather than maintaining constant high-power operation.
2Illumination intensity
If displays operate at maximum luminance continuously, then image quality is maintained, but power consumption increases
Solution Approach 1:
Instead of continuous high-power operation, the system uses periodic action by charging energy storage elements during low-power intervals and discharging them during high-luminance moments. This creates a rhythm of energy accumulation and utilization, allowing peak luminance output without continuous high power consumption.
Solution Approach 2:
The system changes operational parameters dynamically based on content analysis. When analyzing metadata indicates low power consumption is needed, the display operates at reduced luminance or prepares energy storage. When content requires high luminance, the system transitions to high-power mode temporarily, changing parameters like voltage, current, and luminance level based on real-time needs rather than maintaining fixed parameters.
3Illumination intensity
If displays exceed manufacturer-determined thresholds for drive modification, then luminance performance is improved, but component lifespan decreases
Solution Approach 1:
The system applies preliminary anti-action by implementing protective measures before damage can occur. Through content analysis and power prediction, the system identifies when threshold-exceeding operation would be harmful and prevents it by either not enabling the enhancement or by having energy storage ready to support brief excursions. This proactive protection prevents cumulative damage that would reduce component lifespan.
Data Source
AI summary
A method and apparatus therefor comprises: receiving an image data and a power metadata, wherein the power metadata includes information relating to a power consumption or an expected power consumption; determining, based on the power metadata, an amount and a duration of a drive modification that may be performed by a target display in response to the power consumption or the expected power consumption; and performing a power management of the target display based on the power metadata to modify a driving of at least one light-emitting element associated with the target display relative to a manufacturer-determined threshold, based on a result of the determining, wherein the power metadata includes at least one of a temporal luminance energy metadata, a spatial luminance energy metadata, a spatial temporal fluctuation metadata, or combinations thereof.