Automated Media Quality Control via Frame Comparison
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Solution Overview
Problem
Conventional quality control methods for streaming video content rely heavily on human intervention, which is resource-intensive and prone to errors, making it difficult to ensure consistent quality across large volumes of content.
Innovation Solution
An automated quality control system that tests various facets of content reproduction, including access, visual content rendering, and aural content rendering, by monitoring features like color composition and audio output at multiple instants and comparing them to ensure consistency and detect rendering issues such as frozen images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human agents review video assets for quality control, then quality assurance can be performed, but significant resources (human, structural and financial) are incurred
Solution Approach 1:
The patent replaces the mechanical system of human review with an automated computer-based quality control system that performs rendering tests, color composition analysis, and frame comparison algorithms to evaluate video assets without human intervention
Solution Approach 2:
The quality control system performs self-service by automatically executing rendering tests, comparing consecutive frames for artifacts, analyzing color compositions, and generating quality reports without requiring external human agents
2Reliability
If human agents review video assets for quality control, then quality assurance can be performed, but human error is unavoidable due to repetitive nature
Solution Approach 1:
The patent replaces human mechanical review processes with automated computational algorithms that perform rendering tests, frame comparisons, and color analysis without fatigue or repetition-induced errors
Solution Approach 2:
The system implements feedback mechanisms by automatically comparing rendered frames against expected outcomes, detecting deviations such as color shifts or frozen images, and generating quality metrics that provide continuous verification without human error
3Reliability
If automated quality control tests are performed, then quality assurance errors are reduced, but system complexity increases
Solution Approach 1:
The patent segments the quality control process into distinct automated modules: rendering access tests, visual content rendering tests, aural content rendering tests, color composition analysis, and frame comparison algorithms, each handling specific quality aspects independently
Solution Approach 2:
The automated quality control system performs multiple functions including rendering tests, color analysis, frame comparison, artifact detection, and quality reporting within a single integrated platform that can evaluate various media asset types
Data Source
AI summary
Some aspects of the disclosure relate to automated quality control of a media asset. The quality control can comprise testing automatically various facets of content reproduction. In one embodiment, three facets can be tested: (1) access to a rendering unit configured to reproduce content of the media asset; (2) rendering of at least a portion of visual content of the media asset; and (3) rendering at least a portion of the aural content of the media asset. In one aspect, testing the rendering of the visual content can be differential in that features of the rendering can be monitored at a plurality of instants during content reproduction and can be compared for two or more instants of the plurality of instants. In another aspect, based on the comparison, the media asset can be deemed to pass the quality control and thus be accepted for consumption.