Abstract
Conventional image and video quality monitoring requires the transmission of high-resolution telemetry or per-frame data to a central server for analysis, incurring significant computational overhead and network bandwidth. This disclosure describes techniques that enable scalable and automated monitoring of image quality (IQ) and video quality (VQ) on distributed devices. The techniques resolve the problem of blind spots that arise in offline-only evaluation and post-deployment performance by performing partial on-device aggregation and compression that yields substantial bandwidth efficiency. Quality regressions are proactively detected before public user complaints surface.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Li, Peijie and Chan, Ryan, "Scalable Monitoring of Image and Video Quality Across Distributed Devices", Technical Disclosure Commons, (March 05, 2026)
https://www.tdcommons.org/dpubs_series/9465