Streaming of rendered content with adaptive frame rate and resolution
Streaming rendered content is an attractive way to bring high-quality graphics to billions of mobile devices that do not have sufficient rendering power. Existing solutions render content on a server at a fixed frame rate, typically 30 or 60 frames per second, and reduce resolution when bandwidth is restricted. However, this strategy leads to suboptimal rendering quality under the bandwidth constraints. In this work, we exploit the spatio-temporal limits of the human visual system to improve perceived quality while reducing rendering costs by adaptively adjusting both frame rate and resolution based on scene content and motion. Our approach is codec-agnostic and requires only minimal modi...
| Authors | Yaru Liu, Joseph G. March, Rafal K. Mantiuk |
|---|---|
| Primary category | eess.IV |
| Published | 9 May 2026 |
| Last updated at source | 9 May 2026 |
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