Mathematical Model Deriving Apparatus for Video Quality Estimation
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Solution Overview
Problem
Existing audiovisual quality estimation methods fail to accurately differentiate video quality based on codec settings and lack guidance for comparative evaluation across multiple codec settings, relying on subjective evaluations that are impractical and inefficient.
Innovation Solution
A mathematical model deriving apparatus that generates deteriorated videos using various encoding parameters, calculates quality estimation values, and derives coefficients for a mathematical model to evaluate video quality specifically based on codec settings, allowing for objective and optimized quality assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing quality estimation methods are used, then estimation can be performed quickly, but accuracy in differentiating video quality based on codec settings is poor
Solution Approach 1:
The patent pre-calculates and stores quality estimation values for multiple codec settings in advance, creating a lookup table that can be quickly queried during actual service monitoring, eliminating the need for time-consuming real-time quality assessment calculations
Solution Approach 2:
The patent creates a mathematical model that copies and replicates the complex quality assessment process through simplified parameter relationships, allowing accurate quality differentiation without performing the full complex analysis in real-time
2Measurement precision
If subjective quality evaluation is performed to optimize mathematical model coefficients, then model accuracy improves, but the process becomes impractical and inefficient
Solution Approach 1:
The patent replaces the manual subjective evaluation process with an automated mathematical model derivation system that uses objective metrics and computational algorithms to optimize coefficients, eliminating the need for human subjectivity and significantly improving efficiency
Solution Approach 2:
The system performs self-optimization by automatically deriving mathematical model coefficients through computational processes, where the model uses its own generated data and algorithms to improve its parameters without external human intervention
3Adaptability or versatility
If video encoding is performed to distribute via network, then bit rate control is achieved, but video quality deteriorates due to block processing and loss of high frequency components
Solution Approach 1:
The patent implements feedback mechanisms that monitor quality degradation during encoding and transmission, allowing dynamic adjustment of encoding parameters and mathematical model coefficients to compensate for the inherent quality loss in networked video distribution
Data Source
AI summary
A mathematical model deriving apparatus includes an encoding unit that generates a plurality of deteriorated videos after encoding an original video, in accordance with a plurality of combinations of a plurality of encoding parameters for a codec setting, a quality estimation unit that calculates a quality estimation value of each of the plurality of deteriorated videos, and a deriving unit that outputs video quality in response to the plurality of encoding parameters as input and derives a coefficient of a mathematical model in accordance with the quality estimation value and the plurality of combinations of the plurality of encoding parameters. This allows for deriving a mathematical model capable of evaluating quality according to a codec setting.