DocumentCode :
2375971
Title :
Predictive control for efficient statistical multiplexing of digital video programs
Author :
Changuel, N. ; Sayadi, B. ; Kieffer, M.
Author_Institution :
Centre de Villarceaux, Alcatel-Lucent Bell-Labs. France, Nozay, France
fYear :
2009
fDate :
11-12 May 2009
Firstpage :
1
Lastpage :
9
Abstract :
In broadcast and multicast systems, video programs are transmitted over a constant bit rate channel. Apart from bandwidth constraints, the control of each encoder involved in the statistical multiplexing has to satisfy several other constraints: minimum quality, fairness, and smoothness constraints. This paper proposes an improved control scheme for multiplexing H.264/AVC encoded video programs considering all the mentioned constraints. This process is based on grouping pictures of each program into set of pictures (SOP) whose control parameters are determined from parameters of both past and future SOP. This process leads to smoothed multiplexed program and bounded quality differences between programs. Previous results using only past regulation process showed an increase of the multiplexing efficiency compared to the CBR allocation. Using the proposed regulation process, higher multiplexing efficiency is achieved allowing a potential increase of the number of multiplexed programs.
Keywords :
digital video broadcasting; predictive control; statistical multiplexing; telecommunication channels; telecommunication control; video coding; bit rate channel; digital video broadcasting; digital video program; multiplexing H.264-AVC encoded video programs; predictive control; statistical multiplexing; Automatic voltage control; Bandwidth; Bit rate; Digital video broadcasting; Layout; Multimedia communication; Predictive control; Satellite broadcasting; Video compression; Video sharing; Statistical multiplexing; video broadcasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Packet Video Workshop, 2009. PV 2009. 17th International
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-4651-3
Electronic_ISBN :
978-1-4244-4652-0
Type :
conf
DOI :
10.1109/PACKET.2009.5152144
Filename :
5152144
Link To Document :
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