Feasibility Study of Stochastic Streaming with 4K UHD Video Traces
Abstract
This paper performs the feasibility study of stochastic video streaming algorithms with up-to-date 4K ultra-high-definition (UHD) video traces. In previous work, various stochastic video streaming algorithms were proposed which maximize time-average video streaming quality subject to queue stability based on the information of queue-backlog length. The performance improvements with the stochastic video streaming algorithms were verified with traditional MPEG test sequences; but there is no study how much the proposed stochastic algorithm is better when we consider up-to-date 4K UHD video traces. Therefore, this paper evaluates the stochastic streaming algorithms with 4K UHD video traces; and verifies that the stochastic algorithms perform better than queue-independent algorithms, as desired.
Cite
@article{arxiv.1511.05498,
title = {Feasibility Study of Stochastic Streaming with 4K UHD Video Traces},
author = {Joongheon Kim and Eun-Seok Ryu},
journal= {arXiv preprint arXiv:1511.05498},
year = {2015}
}
Comments
Presented at the International Conference on ICT Convergence (ICTC), Jeju Island, Korea, 28 - 30 October 2015