Video Stream Quality Discrepancy Detection With Dynamic Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Participants in video communication sessions lack the ability to be notified of quality discrepancies between transmitted and received video streams, and there is a lack of dynamic, automated quality optimization to address these discrepancies.
Innovation Solution
A system that identifies video parameter data for both the outgoing and incoming video streams, determines quality discrepancies, and provides notifications or performs adjustments to optimize video quality dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video streams are transmitted without quality monitoring, then device complexity is reduced, but video quality reliability deteriorates due to undetected quality discrepancies
Solution Approach 1:
The patent introduces an intermediary quality assessment system that compares transmitted video parameters with received video parameters to detect quality discrepancies. This intermediary mechanism resolves the contradiction by providing reliable quality monitoring without requiring complex changes to the core video transmission infrastructure, as it operates as a separate assessment layer between transmitter and receiver.
Solution Approach 2:
The patent implements feedback mechanisms where quality assessment results are provided back to both transmitting and receiving devices. This feedback loop enables automatic quality optimization by notifying devices of detected discrepancies, allowing them to adjust their operations accordingly. The feedback principle resolves the contradiction by maintaining simplicity in transmission while adding intelligent monitoring and adjustment capabilities.
2Extent of automation
If manual quality optimization is required, then automation level is reduced, but user control is improved
Solution Approach 1:
The patent enables self-service quality optimization where the system automatically detects quality discrepancies and notifies relevant devices, which can then autonomously adjust their parameters. This self-service mechanism resolves the contradiction by providing high automation for quality monitoring while maintaining ease of operation, as users only need to respond to notifications rather than manually configure complex settings.
Solution Approach 2:
The patent performs preliminary quality assessment and discrepancy detection before quality issues become apparent to users. By proactively identifying problems and providing advance notification, the system enables preemptive optimization actions. This preliminary action principle resolves the contradiction by automating the detection and response process, making the system both highly automated and easy to operate.
3Measurement precision
If video quality parameters are not monitored, then measurement precision is reduced, but system complexity is lowered
Solution Approach 1:
The patent replaces complex mechanical or hardware-based quality monitoring systems with software-based parameter comparison mechanisms. By substituting physical measurement instruments with digital parameter analysis, the system achieves high measurement precision for video quality while keeping device complexity low. The solution compares video parameter data (such as frame rates, resolutions, codecs) between transmitted and received streams, providing precise quality measurement without requiring additional hardware complexity.
Data Source
AI summary
Methods and systems provide dynamic adjustments for video optimization in a communication session. In one embodiment, the system receives, at a server, an outgoing video stream from a transmitting device to a receiving device; identifies a first set of video parameter data corresponding to the quality of the outgoing video stream; receives, from the receiving device, a second set of video parameter data corresponding to the quality of the video stream; determines one or more quality discrepancies between the first set of video parameter data and the second set of video parameter data; and provides notification of at least a subset of the quality discrepancies to one or both of the transmitting device and the receiving device.