DocumentCode :
3528698
Title :
Is it worth to predict overflows during video streaming over wireless networks?
Author :
Bankov, Dmitry ; Khorov, Evgeny ; Lyakhov, Andrey
Author_Institution :
Inst. for Inf. Transm. Problems, Moscow, Russia
fYear :
2015
fDate :
18-21 May 2015
Firstpage :
220
Lastpage :
224
Abstract :
No. In the paper, we consider compressed video streaming over the wireless channel. From time to time, dynamically changing channel characteristics cause queue overflows, packet drops and, finally, video quality degradation. To eliminate it, the well known I-Frame delay algorithm drops the least important packets when the queue overflows. However, this algorithm starts working only when the queue overflows. Inspired by many works on video bitrate and channel quality prediction, we study how I-Frame Delay would benefit if it knew about future queue overflows and filtered packets in advance. We show that even with the ideal prediction the improvement is negligible.
Keywords :
compressed sensing; queueing theory; video streaming; wireless channels; I-Frame delay algorithm; channel quality prediction; compressed video streaming; dynamically changing channel characteristics; filtered packets; packet drops; queue overflows; video bitrate; video quality degradation; wireless channel; Delays; Prediction algorithms; Quality assessment; Streaming media; Video recording; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Networking (BlackSeaCom), 2015 IEEE International Black Sea Conference on
Conference_Location :
Constanta
Type :
conf
DOI :
10.1109/BlackSeaCom.2015.7185119
Filename :
7185119
Link To Document :
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