Video Quality Assessment Model Using Packet Loss and Jitter
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current video quality assessment technologies are not universally applicable across different applications, as they rely solely on objective indicators and do not account for varying effects of network parameters like packet loss and jitter, leading to inconsistent quality assessments.
Innovation Solution
A video quality assessment method that generates a subjective assessment model based on user feedback and objective parameters, such as packet loss rate, delay, and jitter, allowing for accurate video quality evaluation across different applications by considering the effects of these parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If objective assessment technology is used to assess video quality, then assessment efficiency is improved, but assessment accuracy deteriorates because it cannot account for different application effects on the same network parameters
Solution Approach 1:
The patent combines objective assessment indicators (packet loss rate, delay, jitter) with subjective assessment results (user quality perceptions) to create a comprehensive assessment model. This merging allows the system to maintain assessment efficiency while improving accuracy by considering both technical parameters and actual user experience across different applications.
Solution Approach 2:
The patent transforms the assessment approach by changing from using fixed objective parameters to using a dynamic assessment model that incorporates multiple parameter types (objective indicators and subjective quality scores). This parameter transformation enables the model to adapt to different application scenarios while maintaining efficient automated assessment.
2Device complexity
If objective indicators alone are used for video quality assessment, then assessment simplicity is maintained, but universality across different applications deteriorates
Solution Approach 1:
The patent creates a universal assessment model that can evaluate video quality across multiple different applications (e.g., live streaming, video conferencing, streaming) by incorporating both objective network parameters and subjective quality perceptions. This multi-functional model maintains relative simplicity while achieving broad applicability across various video service scenarios.
Solution Approach 2:
The patent introduces feedback mechanisms by incorporating subjective assessment results from users into the assessment model. This feedback loop allows the system to continuously improve its accuracy across different applications while maintaining a relatively simple automated assessment structure that learns from actual user experiences.
Data Source
AI summary
In a video quality assessment method, an assessment model is first generated based on a subjective assessment result of a user on each sample in a sample set and based on a parameter set (a parameter type in the parameter set may include at least one of a packet loss rate, a delay, and a jitter) of each sample. Therefore, when video quality is being assessed, a parameter set of a to-be-assessed video is obtained first, where the parameter set of the to-be-assessed video has a same parameter type as the parameter set of each sample that is used to generate the assessment model; and then video quality of the to-be-assessed video is assessed based on the assessment model and the parameter set of the to-be-assessed video, to obtain an assessment result.