Video Quality Parameter Evaluation Using Human Perception Segmentation
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Solution Overview
Problem
Current video sequence quality evaluation methods using video frames as units are not accurate enough and do not align with subjective video quality evaluation, leading to inefficient evaluations.
Innovation Solution
Divide a target video segment into subsegments with durations perceivable by human eyes, calculate video quality parameters for each subsegment, and process these parameters to obtain a video quality parameter for the target segment, using methods such as grouping by GOP or distortion, and applying weighting coefficients based on frame quality and duration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If video quality evaluation is performed using video frames as units, then the evaluation process is simplified, but the evaluation accuracy decreases and deviates from subjective video quality evaluation
Solution Approach 1:
The patent segments the video sequence into multiple video segments, each containing multiple video frames. Instead of evaluating each frame independently, the evaluation is performed on grouped segments, which better reflects human visual perception of video quality. This segmentation approach maintains computational simplicity while significantly improving evaluation accuracy.
2Measurement precision
If subjective video quality evaluation method is used, then the evaluation accuracy is improved, but the evaluation efficiency decreases due to participation of people
Solution Approach 1:
The patent creates an objective evaluation model that copies and simulates human visual perception characteristics. By modeling how humans perceive video quality through segment-based evaluation with specific weighting mechanisms, the system achieves subjective-level accuracy through automated computation, eliminating the need for human participants while maintaining high evaluation accuracy.
Data Source
AI summary
Embodiments of the present invention disclose a method and an apparatus for obtaining a video quality parameter and an electronic device. The method includes dividing a target video segment into at least one video subsegment, where duration of every video subsegment is at least time perceivable by human eyes; obtaining a video quality parameter of the video subsegment; and processing the video quality parameter of the video subsegment, and obtaining a video quality parameter of the target video segment.