Global Optimization Solution for Dynamic Adaptive 360-Degree Streaming
Xuekai Wei, Mingliang Zhou, Weijia Jia
Abstract
This paper proposes a global optimization solution that combines different types of perceptual information to further improve transmission efficiency. First, a new rate-distortion (R-D) model is proposed to reflect the characteristics of 360degree video. Second, a globally optimized adaptive bitrate control algorithm is proposed using both the R-D models to adjust the bitrate for each tile in a segment. Finally, a new model parameter updating strategy that is robust to quality variations is proposed to further reduce prediction errors. Comparison results indicate that the proposed method can outperform state-of-the-art methods in terms of various quality of experience (QoE) objectives <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> .
BibTeX
@inproceedings{icassp2022_globaloptimizati,
title = {Global Optimization Solution for Dynamic Adaptive 360-Degree Streaming},
author = {Xuekai Wei and Mingliang Zhou and Weijia Jia},
booktitle = {ICASSP 2022},
year = {2022}
}