Audiovisual Quality Estimation via Packet Loss Integration
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Solution Overview
Problem
Current methods for assessing subjective audiovisual quality in multimedia transmission networks are costly, time-consuming, and unsuitable for real-time monitoring, relying on human subjects and psychometric tests to estimate user experience.
Innovation Solution
A device and method that generate estimates of user annoyance and transmission quality based on objective metrics such as packet loss and frame loss events, using a primary integrator to produce instantaneous estimates and secondary integrators for time-varying estimates, applicable in VoIP networks and other multimedia systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If psychometric methods such as Mean Opinion Score tests are used to assess audiovisual quality, then measurement precision of subjective quality is improved, but productivity and time consumption deteriorate due to requiring human subjects and manual evaluation
Solution Approach 1:
The patent creates an automated system that copies and simulates human subjective quality assessment processes through objective algorithms. The MOS estimation device replicates human perception responses by processing objective network metrics through mathematical models, eliminating the need for actual human subjects while maintaining measurement precision.
Solution Approach 2:
The patent replaces the mechanical system of human subjects performing manual quality assessments with an automated electronic system. The MOS estimation device uses objective metrics and mathematical processing to substitute for human evaluation, achieving both real-time productivity and accurate measurement precision simultaneously.
2Measurement precision
If human subjects are used for quality assessment, then measurement precision of user experience is improved, but device complexity and cost increase due to requiring panels and coordination of human resources
Solution Approach 1:
The system copies human user experience responses through objective algorithms that process network metrics. Instead of coordinating human panels, the MOS estimation device uses mathematical models to replicate human perception, dramatically reducing system complexity while maintaining measurement precision.
Solution Approach 2:
The system performs self-service quality assessment by automatically processing network metrics and generating MOS estimates without requiring external human subjects. The automated device evaluates its own network conditions and produces quality measurements independently, eliminating the complexity of human resource coordination.
3Measurement precision
If manual quality assessment methods are used, then measurement precision is improved through human judgment, but loss of time increases due to sequential evaluation processes
Solution Approach 1:
The MOS estimation device enables continuous automated processing of quality assessments. Multiple network metrics are processed simultaneously and continuously through mathematical models, eliminating the sequential nature of manual evaluation. This maintains measurement precision while reducing time loss through parallel computational operations.
Solution Approach 2:
The patent substitutes manual mechanical evaluation processes with automated electronic computation. The system rapidly processes objective metrics through mathematical algorithms, achieving both high measurement precision and minimal time loss by replacing human evaluation mechanics with computational processing.
Data Source
AI summary
An audio and/or visual transmission quality device estimates transmission quality as perceived by a user based on observation and processing of objective metrics. The device preferably includes a primary integrator to generate an instantaneous estimate of user annoyance based on occurrence of frame loss events in a received signal. The device further preferably includes secondary integrators to process the instantaneous estimate of user annoyance in selected time intervals and generate a plurality of time-varying estimates of user annoyance valid over the selected time intervals. The device may further include a plurality of scaling modules to scale the plurality of time-varying estimates and generate a corresponding plurality of estimates of transmission quality as perceived by the user. The device may further include a modulation network to modify a sensitivity of the primary integrator to the occurrence of frame loss events in the received signal.