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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
Improvements on MB-layer Rate Control Scheme for H.264 video Using complexity estimation
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
ASCII Text
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Yin Ming, Xie Yun, Guo Fen, Cai Shuting, "Improvements on MB-layer Rate Control Scheme for H.264 video Using complexity estimation," 2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, vol. 2, pp. 280-284, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SNPD.2007.294,
author = {Yin Ming and Xie Yun and Guo Fen and Cai Shuting},
title = {Improvements on MB-layer Rate Control Scheme for H.264 video Using complexity estimation},
journal ={2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing},
volume = {2},
year = {2007},
isbn = {0-7695-2909-7},
pages = {280-284},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.294},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - 2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
TI - Improvements on MB-layer Rate Control Scheme for H.264 video Using complexity estimation
SN - 0-7695-2909-7
SP280
EP284
A1 - Yin Ming,
A1 - Xie Yun,
A1 - Guo Fen,
A1 - Cai Shuting,
PY - 2007
VL - 2
JA - 2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
ER -
 
Yin Ming, Guangdong University of Technology, China
Xie Yun, Guangdong University of Technology, China
Guo Fen, South China University of Technology, China
Cai Shuting, Guangdong University of Technology, China
To solve the dilemma introduced by rate-distortion optimization (RDO) in H.264 rate control, the linear model of MAD prediction is applied. However, this model suits image characteristics locally but in some cases it could be inefficient. If there is a low spatial correlation (i.e., the encoder is processing pictures with varying characteristics), the MAD estimated by the model does not stand for the complexity resulting in the improper quantization parameter (QP) value and image quality degradation. In this paper, the mean square of AC coefficients is introduced into R-D model instead of MAD. Experiments show that the proposed rate control scheme performs well when compared with JVT-G012.
Citation:
Yin Ming, Xie Yun, Guo Fen, Cai Shuting, "Improvements on MB-layer Rate Control Scheme for H.264 video Using complexity estimation," snpd, vol. 2, pp.280-284, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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