Automated Video Delay Measurement via Central Time Extraction
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Solution Overview
Problem
Existing methods for measuring video transmission delay in AV over IP systems are inefficient and prone to inaccuracies due to reliance on manual visual inspection, which consumes manpower and is susceptible to human judgment errors.
Innovation Solution
A video transmission delay measurement method and device that automatically generates and processes a test video to calculate the delay time by comparing the central time of the original and played test videos, providing accurate results down to the level of microseconds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual visual inspection method is used to measure video transmission delay, then the measurement process is simple to implement, but the measurement precision is low and human judgment errors occur
Solution Approach 1:
The patent replaces the manual visual inspection method with an automated electronic measurement system. The video transmission delay measurement device automatically captures video frames, extracts time information, calculates delay values, and generates measurement reports without human intervention, thereby eliminating human judgment errors while maintaining ease of implementation through automated operation.
Solution Approach 2:
The measurement device performs self-measurement by automatically capturing its own output video frames, extracting time information from the video content, calculating the delay based on the captured time data, and generating the measurement report independently without requiring external manual operation beyond initial setup.
2Device complexity
If manual visual inspection method is used to measure video transmission delay, then the equipment complexity is low, but the productivity is low due to time-consuming manual operation
Solution Approach 1:
The patent replaces manual operational processes with automated electronic systems. The measurement device automatically performs video frame capture, time information extraction, delay calculation, and report generation through programmed operations, significantly improving measurement efficiency while keeping the device structure relatively simple and easy to deploy.
Solution Approach 2:
The measurement device enables continuous automated measurement operations without interruption by manual processes. The system continuously captures video frames, processes time information, calculates delays, and generates reports in an uninterrupted automated workflow, eliminating the time-consuming nature of manual step-by-step measurement while maintaining straightforward device architecture.
3Measurement precision
If automated video transmission delay measurement device is used, then the measurement precision is improved to microsecond level, but the device complexity increases
Solution Approach 1:
The patent introduces a processor as an intermediary component that coordinates between the video capture module, time information extraction module, delay calculation module, and report generation module. This centralized control approach enables high-precision automated measurement while managing device complexity through structured modular design with clear separation of functions.
Solution Approach 2:
The measurement device is divided into distinct functional modules: video frame capture module, time information extraction module, delay calculation module, and report generation module. Each module performs a specific function independently, enabling high measurement precision through specialized processing while managing overall device complexity through modular architecture with defined interfaces between components.
4Ease of operation
If manual visual inspection method is used, then the manpower requirement is low in terms of equipment operation, but the measurement accuracy is affected by human judgment
Solution Approach 1:
The measurement device performs self-measurement and self-reporting by automatically capturing video frames, extracting time information, calculating delays, and generating measurement reports without human intervention during the measurement process. This eliminates human judgment errors entirely while maintaining operational simplicity through automated execution of the complete measurement workflow.
Solution Approach 2:
The patent replaces human visual inspection and judgment processes with automated electronic measurement and calculation systems. The processor-based automated system objectively extracts time information from video frames and calculates delay values without human involvement, eliminating subjectivity and judgment errors while keeping the operation simple through automated initiation and execution.
Data Source
AI summary
Provided are a video transmission delay measurement method testing an under-test system having an under-test system input port and an under-test system output port and comprising the following steps: generating an original test video and outputting the original test video to the under-test system input port of the under-test system, wherein the original test video has a central time corresponding to a video generating time at which the original test video is generated; receiving a played test video from the under-test system output port of the under-test system, wherein the played test video corresponds to the original test video and the played test video has the central time corresponding to the video generating time at which the original test video is generated; obtaining the central time of the played test video; calculating a time difference between a current time and the central time of the under-test system.


