Video Frame Matching for Accurate Quality Measurement
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Solution Overview
Problem
Existing video quality processes yield inaccurate scores due to frame dropping, duplication, or out-of-order issues in degraded videos, leading to wasted resources and suboptimal video delivery decisions.
Innovation Solution
Implement a frame matching process to identify and correct frame variations in degraded videos, creating aligned new versions of source and degraded videos for accurate quality assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frame-by-frame comparison is performed on source and degraded videos, then video quality scores can be generated, but the scores become inaccurate when frame dropping, duplication, or out-of-order frames occur in the degraded video
Solution Approach 1:
The patent applies preliminary action by performing frame matching and identifying corresponding frames between source and degraded videos before conducting the quality comparison. The system pre-processes the video sequences to establish correct frame correspondences, accounting for frame dropping, duplication, and reordering issues that occur during degradation. This preliminary alignment ensures that subsequent quality metrics are computed on correctly matched frames, resolving the accuracy problem.
2Productivity
If video quality process is performed on degraded videos with frame variations, then quality assessment can be provided, but computing resources are wasted due to meaningless comparisons
Solution Approach 1:
The patent extracts and identifies the specific frame variations (dropped frames, duplicate frames, out-of-order frames) from the degraded video sequence. By detecting these variations and removing their negative impact through proper frame matching, the system eliminates meaningless comparisons. This allows the quality assessment process to focus only on valid frame pairs, thereby reducing unnecessary computational operations and conserving resources.
3Device complexity
If sequential frame comparison is used for video quality measurement, then the process is simple to implement, but the measurement becomes meaningless when frames are not properly aligned between source and degraded videos
Solution Approach 1:
The patent introduces an intermediary frame matching process that acts as a mediator between the source video and degraded video sequences. This intermediary step establishes correct correspondences between frames by detecting and compensating for frame dropping, duplication, and reordering. The frame matching process serves as a bridge that connects the two video sequences in a meaningful way, enabling accurate quality comparison without requiring complex alternative approaches.
Data Source
AI summary
In some embodiments, a method receives a first video and processes frames of the first video to generate a second video. A frame matching process is performed to determine whether frames of the second video and frames of the first video meet a condition that determines whether frames match to generate a new version of the second video and a new version of the first video. A sequence of frames in the new version of the first video is different from the first video. The method compares frames of the new version of the second video and frames of the new version of the first video to generate a score based on a quality metric.