Latency Measurement in Virtual Desktop Video Streams
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Solution Overview
Problem
Virtual desktop environments face challenges in accurately measuring and addressing audio and video latencies, which can lead to synchronization issues during remote interactions, such as video conferencing, due to the remote processing and transmission of audio and video data.
Innovation Solution
A system that monitors audio and video latencies by embedding frame numbers and audio information in video frames, allowing the user computing system to calculate latency differences and synchronize audio and video data by comparing expected and actual data, and providing user interfaces to display latency information and suggestions for improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video data is streamed through the virtual desktop environment with embedded frame numbers, then latency measurement precision is improved, but device complexity increases
Solution Approach 1:
The system embeds frame numbers and timing information into video frames before streaming them through the virtual desktop environment. This preliminary action enables accurate latency measurement by having the necessary measurement data already embedded in the transmitted stream, eliminating the need for complex post-transmission analysis systems.
Solution Approach 2:
The patent introduces an intermediary mechanism that injects timing information and frame identifiers into the video stream at the source, which then travels through the virtual desktop infrastructure. This intermediary data structure serves as a mediator that carries measurement information without requiring complex modifications to the underlying transmission system.
2Adaptability or versatility
If audio and video data are transmitted through remote host computing systems, then virtual desktop functionality is improved, but audio-video synchronization deteriorates due to latency
Solution Approach 1:
The system measures latency by comparing embedded frame numbers with reception timing, creating a feedback loop that quantifies the delay introduced by the virtual desktop environment. This feedback mechanism enables the system to understand and compensate for synchronization issues between audio and video streams.
Solution Approach 2:
Timing information and frame identifiers are embedded into video frames before transmission through the virtual desktop system. This preliminary encoding of temporal information allows the receiving system to accurately determine latency and adjust synchronization accordingly, maintaining audio-video alignment despite remote processing delays.
3Measurement precision
If frame latency is measured by comparing embedded frame numbers, then measurement precision is improved, but information processing complexity increases
Solution Approach 1:
The system extracts only the essential measurement data (frame numbers and timing information) from the video stream for latency calculation, rather than processing the entire video content. This extraction approach enables precise latency measurement while minimizing information processing complexity by focusing only on the necessary temporal markers.
Data Source
AI summary
Described herein are systems, methods, and software to monitor latency information in virtual desktop environments. In one example, a user computing system may obtain a first frame of video data from a second computing system, wherein the video data is streamed from the user computing system to the second computing system. The user computing system further identifies a first frame number for the first frame based on a code in the first frame, identifies a frame number for second frame of the video data to be streamed to the second computing system when first frame was received, and determines frame latency based on a difference between the first frame number and the second frame number.