Video Quality Prediction System for Network Path Monitoring
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Solution Overview
Problem
Video content providers face challenges in ensuring video quality due to complex network structures, making it difficult to identify and address quality issues before customer complaints arise.
Innovation Solution
A video content quality prediction system that receives performance data from network elements, predicts video quality, identifies elements not meeting performance requirements, and outputs data indicating necessary adjustments, such as rerouting video content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If complex network structures are used to deliver video content, then the network can handle diverse traffic types, but it becomes difficult to ensure video content quality meets expected levels
Solution Approach 1:
The system segments the network path into multiple monitorable elements (routers, switches, links) and segments quality assessment into separate metrics (packet loss, latency, jitter). This allows independent monitoring and management of each segment while maintaining overall video quality across the complex network structure.
Solution Approach 2:
The patent introduces intermediary components including quality monitoring agents deployed at network elements and a central quality management system. These intermediaries collect performance data, analyze quality metrics, and enable proactive quality assurance without requiring changes to the underlying complex network structure.
2Reliability
If proactive quality monitoring is implemented to identify issues before customer complaints, then customer satisfaction improves, but system complexity increases
Solution Approach 1:
The system implements self-service through automated quality monitoring agents that continuously collect performance data from network elements and automatically analyze quality metrics. The proactive quality assurance operates autonomously without requiring manual intervention, reducing operational complexity while maintaining high reliability.
Solution Approach 2:
The patent establishes feedback loops where quality metrics are continuously monitored, analyzed, and used to trigger automated responses. When quality degradation is detected, the system generates alerts and can automatically adjust network parameters, creating a closed-loop control system that manages complexity through systematic feedback mechanisms.
3Measurement precision
If performance data is collected from multiple network elements to predict video quality, then quality prediction accuracy improves, but data processing requirements increase
Solution Approach 1:
The system extracts only the most relevant performance data from network elements using predefined templates that specify which metrics (packet loss, latency, jitter) are critical for video quality prediction. This selective extraction reduces data volume and processing requirements while maintaining prediction accuracy by focusing on key quality-determining parameters.
Solution Approach 2:
The patent applies partial action by collecting performance data from a subset of critical network elements along the video delivery path rather than all elements. Quality prediction is performed at strategic points in the network, reducing overall data processing requirements while maintaining sufficient prediction accuracy for proactive quality management.
Data Source
AI summary
Disclosed is a system and method of managing video content quality. The method includes receiving performance data at a video quality prediction system where the performance data is related to a plurality of network elements of a network path linking a video-head end with a set-top box device. The method also includes predicting, based at least partially on the performance data, a quality of video content received at the set-top box device and determining whether the predicted quality of video content is greater than or equal to a video quality threshold. In addition, the method includes identifying at least one of the plurality of network elements not satisfying a performance requirement, based on the performance data, when the predicted quality of video content is less than the video quality threshold. Further, the method includes outputting data indicating the at least one network element not satisfying the performance requirement.