DocumentCode :
982122
Title :
Linear Rate Control and Optimum Statistical Multiplexing for H.264 Video Broadcast
Author :
He, Zhihai ; Wu, Dapeng Oliver
Author_Institution :
Dept. of Electr. & Comput. Eng.,, Univ. of Missouri, Columbia, MO
Volume :
10
Issue :
7
fYear :
2008
Firstpage :
1237
Lastpage :
1249
Abstract :
The H.264 video coding standard achieves significantly improved video compression efficiency and finds important applications in digital video broadcast. To enable H.264 video encoding for digital TV broadcast and maximize its broadcast efficiency, there are two important issues that need to be adequately addressed. First, we need to understand the complex coding mechanism of an H.264 video encoder and develop a model to analyze and control its rate-distortion (R-D) behavior in an accurate and robust manner. Second, the R-D behaviors of individual channels in the broadcast system should be jointly controlled and optimized under bandwidth and buffer constraints so as to maximize the overall broadcast quality. In this paper, we develop a linear rate model and a linear rate control scheme for H.264 video coding. We develop an optimum statistical multiplexing system to allocate bits across video programs (each being encoded by an H.264 encoder) and video frames so that the overall video broadcast quality is maximized. We study the bandwidth and buffer constraints in video broadcast and formulate the optimum statistical multiplexing into a constrained mathematical optimization problem. Realizing that it is impossible to find a close-form solution for global optima, we propose a simple yet efficient algorithm to find a near-optimum solution for joint rate allocation under buffer constraints. Our extensive simulation results demonstrate that the proposed statistical multiplexing system achieves about 40-50% saving in bandwidth, provides a smooth video quality change across programs and frames, and maintains robust decoder buffer control.
Keywords :
broadcast channels; data compression; digital video broadcasting; optimisation; rate distortion theory; statistical multiplexing; telecommunication control; video coding; H.264 digital video broadcast; H.264 video encoding standard; constrained mathematical optimization problem; digital TV broadcast; linear rate control; optimum statistical multiplexing; rate-distortion behavior; video compression; H.264 video coding; TV broadcast; optimum rate allocation; rate control; statistical multiplexing;
fLanguage :
English
Journal_Title :
Multimedia, IEEE Transactions on
Publisher :
ieee
ISSN :
1520-9210
Type :
jour
DOI :
10.1109/TMM.2008.2004903
Filename :
4668505
Link To Document :
بازگشت