Dynamic Frame Count Adjustment in Image Processing
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Solution Overview
Problem
Existing image compression methods for camera devices face challenges in optimizing frame counts of image streams to balance image quality and transmission efficiency, leading to potential graphical glitches and transmission delays due to excessive predicted frames, while reducing frame counts can increase data size and delay.
Innovation Solution
An image processing method that calculates an ideal frame count for subsequent groups of pictures based on the ratio relationship of frame sizes in initial and non-initial frames within a predetermined frame or time segment, allowing for dynamic adjustment of frame counts to optimize image stream quality and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the frame count of predicted frames is increased to reduce data size, then transmission time is reduced, but image quality deteriorates and graphical glitches occur
Solution Approach 1:
The patent implements dynamic adjustment of frame count based on motion detection results. The system continuously monitors motion magnitude in real-time and adapts the frame count of predicted frames accordingly, transitioning from static to dynamic control. This resolves the contradiction by allowing high frame counts during low-motion periods (reducing transmission time) while limiting frame counts during high-motion periods (maintaining image quality).
Solution Approach 2:
The patent changes the parameter of frame count based on motion magnitude thresholds. When motion magnitude exceeds a threshold, the system adjusts the frame count parameter to a lower value; when motion is minimal, it increases the frame count. This parameter adaptation resolves the contradiction between transmission efficiency and image quality by matching frame count to actual content requirements.
2Reliability
If the frame count of predicted frames is decreased to improve image quality, then image quality improves, but data size increases causing transmission delay
Solution Approach 1:
The system dynamically adjusts frame count based on real-time motion detection rather than using a fixed low value. During periods of minimal motion, the system increases frame count to maximize compression efficiency, thereby reducing transmission delay without compromising image quality when motion is not significant.
Solution Approach 2:
The frame count parameter is changed adaptively based on motion magnitude comparisons. When motion magnitude is below the threshold, the system sets frame count to a higher value to reduce data size and transmission delay, while maintaining acceptable image quality.
3Productivity
If the frame count is dynamically adjusted according to motion content, then transmission efficiency improves, but system complexity increases
Solution Approach 1:
The patent segments the video stream into groups of pictures (GOPs) and applies motion detection and frame count adjustment independently to each segment. This segmentation allows the complex dynamic adjustment process to be applied locally rather than globally, reducing overall system complexity while maintaining transmission efficiency gains.
Solution Approach 2:
The system implements a feedback mechanism where motion detection results from previous frames inform the frame count decisions for subsequent frames. This closed-loop control enables automatic adaptation without requiring complex manual configuration, improving transmission efficiency while keeping system complexity manageable through self-regulation.
Data Source
AI summary
An image processing method includes receiving image data and outputting an image stream including an initial group of pictures and a next group of pictures according to the image data. The initial group of pictures includes a first initial frame and at least one first non-initial frame. The next group of pictures includes a second initial frame and at least one second non-initial frame. The image processing method further includes obtaining a first ideal frame count of the next group of pictures according to a ratio relationship of frame sizes of the first initial frame and the at least one first non-initial frame of the initial group of pictures in a predetermined frame segment or a predetermined time segment and setting a frame count of the next group of pictures according to the first ideal frame count.