Media File Validation Using QoS Feedback Prioritization
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Solution Overview
Problem
The time-consuming nature of media content validation processes in content libraries, where vast amounts of media content require verification of availability and quality, makes it impractical to validate all content effectively, especially due to the need to validate multiple files across various formats, protocols, and locations, leading to inefficiencies and prolonged validation times.
Innovation Solution
Implementing a prioritization schema for media content validation based on feedback messages received during playback, such as Quality of Service (QoS) event messages, to identify and address anomalies efficiently, focusing validation efforts on files with higher failure rates or popularity, thereby reducing the number of files that need to be validated and streamlining the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all media content files are validated through traditional validation processes, then validation completeness is improved, but validation time increases significantly
Solution Approach 1:
The patent segments the validation process into two distinct phases: (1) a lightweight availability check that quickly verifies file accessibility, and (2) a comprehensive quality validation that occurs asynchronously in the background. This segmentation allows the system to achieve validation completeness without blocking the main content delivery workflow, thereby reducing validation time while maintaining reliability.
Solution Approach 2:
The system performs preliminary availability validation before full quality validation by checking QoS metrics such as file accessibility, network connectivity, and basic playback capability. This preliminary action filters out obviously problematic files early in the process, allowing the more time-consuming comprehensive validation to focus only on files that pass the initial check, thus reducing overall validation time while maintaining completeness.
2Measurement precision
If traditional validation processes are used to verify media content quality, then validation accuracy is improved, but processing speed deteriorates
Solution Approach 1:
The patent implements a dynamic validation approach where the depth and intensity of validation are adjusted based on real-time QoS feedback. Files that demonstrate good playback performance and meet QoS thresholds undergo lighter validation, while files showing degradation or failure receive more intensive validation. This dynamic adaptation maintains validation accuracy for problematic files while increasing processing speed for healthy files.
Solution Approach 2:
The system continuously monitors QoS metrics during content delivery and uses this feedback to adjust validation priorities and intensity. When QoS degradation is detected, the system automatically increases validation scrutiny for affected files. This feedback loop ensures high validation accuracy for files with issues while maintaining efficient processing for files that consistently meet quality standards.
3Reliability
If comprehensive validation is performed on all media content, then content quality assurance is improved, but system complexity increases
Solution Approach 1:
The patent introduces QoS metrics as an intermediary layer between the content delivery system and the validation system. Instead of directly implementing complex validation logic throughout the system, the solution uses QoS measurements (network performance, playback smoothness, error rates) as mediators to identify and flag files requiring validation. This intermediary approach simplifies the overall system architecture while maintaining comprehensive quality assurance through targeted validation of flagged files.
Data Source
AI summary
Methods and apparatus are described for validating files associated with content items. The validation can be performed according to feedback statistics including failure rates pertaining to the content items.