Image Compositing Frame Timeline Allocation for Stable Display
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Solution Overview
Problem
Existing image processing methods in terminal devices struggle to efficiently allocate frame time lines to different applications, leading to unstable display and resource wastage, particularly when dealing with applications like video, take photos, and the like by using the terminal device.
Innovation Solution
An image processing method that allocates varying quantities of frame time lines to applications based on their scenario requirements, ensuring even distribution and reducing resource waste by adjusting frame time line allocation according to the application's need, thereby avoiding frame drop and freezing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed quantity of frame time lines is allocated to all applications, then the allocation process is simple, but display stability deteriorates and resource waste increases
Solution Approach 1:
The patent implements dynamic frame time line allocation where the system adjusts the quantity of frame time lines assigned to different applications based on their specific scenario requirements. Video applications receive more frame time lines for stable playback, while photo applications receive fewer, optimizing both display stability and resource utilization without requiring complex manual configuration.
Solution Approach 2:
The system changes the parameter of frame time line quantity dynamically. By varying this parameter according to application type and scenario, the system achieves different display characteristics - more frame time lines for video streaming to prevent freezing, fewer for photo editing to reduce overhead - thereby resolving the contradiction between simplicity and stability.
2Reliability
If more frame time lines are allocated to ensure stable display, then display reliability improves, but resource waste and calculation pressure increase
Solution Approach 1:
The patent applies local quality by tailoring the quantity of frame time lines to specific application needs. Video applications receive a higher quantity (first preset range) to ensure smooth playback and prevent freezing, while photo editing applications receive a lower quantity (second preset range) since they don't require continuous frame updates. This localized optimization ensures stability where needed while reducing resource waste elsewhere.
Solution Approach 2:
The system provides excessive frame time lines (first preset range with minimum value greater than maximum of second range) to video applications to ensure stable display, accepting that some resource consumption is excessive for these applications. Conversely, photo applications receive only the necessary minimum. This partial application of excessive allocation resolves the contradiction by applying it only where stability is critical.
3Reliability
If frame time line allocation is optimized for each application, then display stability improves, but system complexity increases
Solution Approach 1:
The patent segments the frame time line allocation strategy by application scenario. The system divides applications into distinct categories (video streaming vs. photo editing) and applies different allocation rules to each segment. This segmentation simplifies management by using clear, scenario-based criteria rather than complex real-time analysis, achieving visual continuity for each application type without overwhelming system complexity.
Data Source
AI summary
This application provides an image processing method and an electronic device. The method includes: The electronic device allocates different quantities of frame time lines to different applications, so that the applications can select an appropriate composition frame time line based on different scenario requirements, to reduce overheads of frame time lines of some applications when it is ensured that compositing of image frames of the applications is evenly allocated to different frame time line signal periods, so as to improve system resource utilization.