With the explosive growth of video content consumption, the role of video infrastructure in ensuring the quality of large-scale content services is becoming increasingly prominent. This article starts from the composition of video infrastructure and content quality evaluation system, analyzes the main problems in broadband transmission, algorithm processing, and terminal adaptation, proposes optimization strategies such as multi-level scheduling network, adaptive rate control, and fusion coordination mechanism, and explores how measures can accelerate information transmission, stable video playback, and customer satisfaction. Research has shown that improving video infrastructure contributes to the overall level of information services, as well as guiding technological upgrades of related platforms and increasing customer satisfaction.

Da Xu. Analysis of the impact of video infrastructure optimization on large-scale content quality improvement. International Journal of Multimedia Computing (2026), Vol. 7, Issue 1: 19-26. https://doi.org/10.38007/IJMC.2026.070103.

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