DocumentCode :
2575687
Title :
Structural similarity optimal MB layer rate control for H.264
Author :
Cui, Ziguan ; Gan, Zongliang ; Zhu, Xiuchang
Author_Institution :
Image Process. & Image Commun. Lab., Nanjing Univ. of Posts & Telecommun., Nanjing, China
fYear :
2011
fDate :
9-11 Nov. 2011
Firstpage :
1
Lastpage :
5
Abstract :
Conventional Rate Control (RC) schemes for video coding mostly take objective metric as distortion measurement, which can not achieve optimal subjective quality. This work applies Structural Similarity (SSIM) based subjective distortion to rate distortion optimization and RC in H.264, and proposes a SSIM optimal macroblock (MB) layer RC scheme. First, a SSIM quadratic distortion model is proposed based on extensive experiments and theoretical analysis. Then an improved quadratic Rate Quantization (R-Q) model is combined to obtain the solution of SSIM optimal MB layer quantization step (Qstep) by Lagrange multiplier method. Experimental results show that the proposed scheme preserves more image structural information and thus acquires better subjective quality compared with objective metric optimal MB layer RC JVT-O016 and classic JVT-G012.
Keywords :
optimal control; quadratic programming; video coding; H.264; Lagrange multiplier method; classic JVT-G012; image structural information; objective metric optimal MB layer RC JVT-O016; optimal subjective quality; quadratic distortion model; quadratic rate quantization model; rate distortion optimization; structural similarity optimal macroblock layer rate control; subjective distortion optimization; video coding; Bit rate; Encoding; Indexes; Nonlinear distortion; Optimization; PSNR; Video coding; H.264; rate control; structural similarity; subjective quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Signal Processing (WCSP), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4577-1009-4
Electronic_ISBN :
978-1-4577-1008-7
Type :
conf
DOI :
10.1109/WCSP.2011.6096818
Filename :
6096818
Link To Document :
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