Video Lag Detection Using Hardware Lag Parameters
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Solution Overview
Problem
Current video lag detection methods rely on user perception, which is inefficient and resource-intensive, requiring high computing power and lacking precision.
Innovation Solution
A method and device for video lag detection that utilizes lag parameter values obtained from video processing hardware, processed based on frame rates to determine relative lag parameters, enabling automated detection without extensive resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image processing is used for video lag detection, then detection precision is improved, but resource occupancy increases and efficiency decreases
Solution Approach 1:
The patent extracts the lag parameter value directly from video processing hardware (GPU) without requiring full image processing. By taking out only the necessary lag parameter data from the hardware's internal operations, the system achieves accurate lag detection while avoiding the high resource consumption associated with complete image processing pipelines.
Solution Approach 2:
The patent introduces an intermediary approach by using the lag parameter value as a mediator between video processing hardware and detection algorithms. Instead of directly processing images, the system uses this intermediate parameter that already contains lag information, thereby reducing computational burden while maintaining detection accuracy.
2Measurement precision
If image processing is used for video lag detection, then detection precision is improved, but resource occupancy increases
Solution Approach 1:
The system extracts only the essential lag parameter value from video processing hardware operations, avoiding the need to process entire video frames or images. This extraction approach retrieves precise lag information while consuming minimal computational resources.
Solution Approach 2:
The patent employs a lightweight detection mechanism that uses simple threshold comparisons on lag parameter values rather than complex image processing algorithms. This disposable-like approach uses minimal resources for each detection operation, enabling efficient continuous monitoring without accumulating high resource occupancy.
3Measurement precision
If user perception level methods are used, then lag detection accuracy is improved, but automation is reduced and efficiency decreases
Solution Approach 1:
The video processing hardware automatically generates and exposes lag parameter values during normal video processing operations. The system serves itself by utilizing existing hardware metrics without requiring external perception or manual intervention, thereby achieving both high automation and accurate lag detection.
Solution Approach 2:
The patent implements a feedback mechanism where lag parameter values from hardware are continuously monitored and compared against thresholds. This automated feedback loop enables the system to detect and report lag conditions automatically without user involvement, maintaining both accuracy and high automation levels.
Data Source
AI summary
A video lag detection method, a video lag detection device, a computer device, a computer-readable storage medium and a computer program product are provided. The method includes: obtaining a lag parameter value corresponding to a to-be-detected video based on a video processing hardware; obtaining a frame rate of the to-be-detected video, and processing the lag parameter value based on the frame rate to obtain a relative lag parameter value; and performing lag detection on the to-be-detected video based on the relative lag parameter value. With the method, detection efficiency can be enhanced and resource occupancy can be reduced.