Audio Video Stream Verification via Pre and Post Transmission Comparison
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Solution Overview
Problem
Web-based conferences often experience connection issues due to network problems, leading to time-consuming manual verification of audio/video feeds, which can result in sharing of confidential information and errors during presentations.
Innovation Solution
A method for automatically verifying audio/video stream quality by capturing and comparing stream segments before and after transmission, using techniques like text recognition, speech recognition, and image comparison to determine fidelity and provide visual cues on feed quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual verification of audio/video feeds is performed during web-based conferences, then connection issues can be detected, but time is consumed and confidential information may be exposed
Solution Approach 1:
The system performs automatic self-verification of A/V feeds by capturing stream segments at transmitting and receiving devices, comparing them through image recognition and text recognition algorithms, and generating quality reports without requiring manual user intervention. This eliminates the need for users to manually check their video feeds while maintaining reliable connection quality monitoring.
2Reliability
If manual verification of audio/video feeds is performed during web-based conferences, then connection issues can be detected, but confidential information sharing risks increase
Solution Approach 1:
The automatic verification system performs all quality checks in the background without requiring users to share their screens or display confidential information. The system captures stream segments, processes them through recognition algorithms, and generates verification reports automatically, eliminating the need for users to manually display or share sensitive content during verification.
3Measurement precision
If automatic stream segment comparison is implemented, then verification accuracy is improved, but device complexity increases
Solution Approach 1:
The system introduces an intermediary verification module that acts as a mediator between the transmitting and receiving devices. This module captures stream segments from both ends, performs automated comparison using image recognition and text recognition algorithms, and generates quality assessment reports. The intermediary approach maintains high measurement precision while managing system complexity through modular architecture.
4Reliability
If real-time A/V stream monitoring is performed, then connection quality is maintained, but network bandwidth consumption increases
Solution Approach 1:
Instead of continuous real-time monitoring, the system implements periodic verification by capturing stream segments at specific intervals during the conference. The verification process is triggered at designated checkpoints rather than continuously, reducing network bandwidth consumption while maintaining reliable connection quality monitoring through regular periodic assessments.
Data Source
AI summary
Aspects of the present disclosure relate to audio/video (A/V) stream functionality verification. A stream segment of a video feed prior to transmission over a network as captured by a transmitting device within a web-based conference can be stored. A stream segment of the video feed after transmission over the network as received by a receiving device within the web-based conference can be stored. The stream segment of the video feed prior to transmission over the network can be compared with the stream segment of the video feed after transmission over the network to determine a video feed quality.