Feasibility study of stochastic streaming with 4K UHD video traces

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...

Full description

Saved in:
Bibliographic Details
Published in2015 International Conference on Information and Communication Technology Convergence (ICTC) pp. 1350 - 1355
Main Authors Joongheon Kim, Eun-Seok Ryu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2015
Subjects
4K ultra-high-definition (UHD) video
Feasibility study
Numerical stability
Optimization
Performance evaluation
Stability criteria
Stochastic processes
Stochastic streaming
Streaming media
Wireless communication
Online AccessGet full text

Cover

More Information
Summary: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.
DOI:10.1109/ICTC.2015.7354813