Video Quality Estimation Using Key-Frame Rate and Bit-Rate
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Solution Overview
Problem
Existing video quality estimation methods for IPTV networks do not accurately consider the impact of Group of Pictures (GOP) length on encoding efficiency and perceived quality, especially under varying packet loss conditions, and lack comprehensive integration of GOP-related parameters.
Innovation Solution
A method that estimates video quality during encoding by using the key-frame rate as a GOP-length-related parameter, adjusting the estimated quality with the equation Qcod=(a1*kfr+a2)*exp(b*br)+c, where a1, a2, and b are coefficients, and br is the bit-rate, providing a more accurate perception of video quality by incorporating GOP-length parameters beyond conventional methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional video quality estimation methods are used, then the estimation process is simple, but the accuracy of quality assessment is insufficient because GOP-length parameters are not considered
Solution Approach 1:
The patent introduces GOP-length-related parameters (GOP length, key-frame rate) as additional input parameters to the quality estimation model. This changes the parameter set from conventional bitrate-only models to models that incorporate encoding structure parameters, thereby improving measurement precision without requiring fundamental model redesign
Solution Approach 2:
The patent extracts GOP-length parameters from the video bitstream in advance before quality estimation is performed. By pre-processing the bitstream to obtain key-frame rates and GOP lengths, the system prepares necessary data beforehand, making the actual quality estimation process more accurate while keeping the computational burden manageable
2Measurement precision
If GOP-length parameters are incorporated into the quality model, then the quality estimation accuracy improves, but the computational complexity increases
Solution Approach 1:
The patent extracts only the essential GOP-length parameters (GOP length and key-frame rate) from the complex video bitstream structure. By selectively extracting only these specific parameters rather than processing the entire bitstream or all possible encoding parameters, the system achieves improved accuracy while minimizing the additional computational power required
3Adaptability or versatility
If fixed GOP lengths are examined as in existing models, then the analysis is straightforward, but the impact of variable GOP-length on encoding efficiency and quality is not captured
Solution Approach 1:
The patent transitions from examining fixed GOP lengths to analyzing variable GOP-length structures by introducing the key-frame rate as a dynamic parameter. This allows the model to adapt to different encoding configurations and variable GOP structures while maintaining a relatively simple linear relationship in the quality estimation formula
Data Source
AI summary
A method for assessing the quality of a video signal during encoding or compressing of the video signal includes: estimating the quality (Qcod) of the video signal using one or more parameters; and using at least one additional parameter to adjust the estimated video signal quality, wherein the at least one additional parameter includes the key-frame rate (kfr) of the video signal as a Group of Pictures (GOP)-length-related parameter. Adjustment of the estimated video signal quality is in accordance with the following equation:Qcod=(a1*kfr+a2)*exp(b*br)+c; where a1, a2, b, and c are coefficients and br is the bit-rate of the video signal.