DACE: Dynamic Adaptive Complexity Encoding for Real Time Communication on Heterogeneous Devices
Year: 2025
Type: conference-paper
Abstract: DACE is a novel algorithm to improve real-time video quality by dynamically adjusting the complexity of the encoding to maximize resource utilization. It uniquely adapts the feedback control logic from network congestion algorithms such as RENO, using prior frame encoding time to select the highest sustainable complexity for the next frame. A saturation mechanism prevents stalls by throttling complexity as it approaches the time budget. Our evaluation using the x264 encoder shows significant SSIM gains across diverse content, demonstrating DACE's effectiveness in converting available computational power into improved visual fidelity on heterogeneous devices.
Authors: Man Hin Yeung, Benedictus Harris Hutama, Jonas III Miranda Lagade, Xiangjie Huang, Zili Meng
Institution: Hong Kong University of Science and Technology
Language: English
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Funder: National Science Foundation
OpenAlex ID: W4414109702