Video Freeze Detection Using Network Rule Sets in Conferencing
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Solution Overview
Problem
Existing video communication systems are reactive in addressing network-related video freezes, leading to delayed quality adjustments and inconsistent user experiences due to varying network conditions and endpoint device issues.
Innovation Solution
Implement a network-based processing system that detects video freezes in near real-time by applying rule sets to network performance data from customer premises equipment, enabling proactive remedial actions such as switching access modes or notifying users to improve video quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a network-based processing system applies rule sets to detect video freezes in near real-time, then video quality stability is improved, but system complexity increases
Solution Approach 1:
The patent introduces a network-based processing system that acts as an intermediary between customer premises equipment and video communication endpoints. This intermediary collects network performance data, applies rule sets for freeze detection, and triggers remedial actions, thereby improving video quality stability without requiring complex changes at the endpoint devices themselves.
Solution Approach 2:
The detection system is segmented into modular components: data collection modules at customer premises equipment, rule set application modules for freeze detection, and remedial action modules. This segmentation allows the system to manage complexity through modular design while maintaining reliable video quality monitoring across the network.
2Ease of operation
If remedial actions are performed proactively to address video freezes, then user experience is improved, but response time requirements increase system demands
Solution Approach 1:
The system performs preliminary actions by continuously monitoring network performance data and applying rule sets to detect potential video freezes before they significantly impact user experience. Remedial actions such as switching access modes or notifying users are triggered proactively, preventing quality degradation rather than reacting after the fact.
Solution Approach 2:
The system implements feedback loops where network performance measurements are continuously collected, analyzed against rule sets, and used to trigger remedial actions. This closed-loop feedback mechanism ensures timely responses to network conditions while maintaining good user experience through automated quality management.
Data Source
AI summary
A processing system may obtain network performance data sets associated with a video communication session from a customer premises equipment, the network performance data sets including data sets for measurements of video uplink and downlink data rates. The processing system may apply at least one of the network performance data sets to at least one rule set implemented by the processing system to obtain a decision output indicative of whether an occurrence of: an uplink or downlink video freeze is detected. The processing system may detect the at least one of the uplink video freeze or the downlink video freeze in accordance with the decision output. The processing system may then perform at least one remedial action in response to the detecting of at least one of: the uplink video freeze or the downlink video freeze.