Title :
Statistical Analysis and Modeling of Rate-Distortion Function in SVC Fine-Granular SNR Scalable Videos
Author :
Sun, Jun ; Gao, Wen ; Zhao, Debin
Author_Institution :
Peking Univ., Beijing
Abstract :
In this paper, we propose a simple and effective rate-distortion model of fine-granular SNR scalable (FGS) layer in JVT scalable video coding (SVC). First, we introduce generalized Gaussian distributions (GGD) to model the distributions of the 16 (4*4) integer transform coefficients of the SVC FGS residue picture. Then we analyze the quantization scheme of SVC FGS coding, under which we analyze the distortion-rate function of generalized Gaussian model and conclude that the derivative of the distortion-rate function usually decreases to the traditional number 6.02 dB/bit as the coding rate increases. For some special cases where the shape of GGD is smooth, the derivative of the distortion-rate function increases to 6.02 dB/bit as the rate increases in the actual coding rate range. Guided by the observations, an effective and flexible rate-distortion model is proposed to approximate the actual rate-distortion function of SVC FGS layer. The average estimation error is only 0.07 dB in our extensive experiments. And our analysis and models bring us much insight into the SVC FGS coding and its rate-distortion function.
Keywords :
Gaussian distribution; rate distortion theory; statistical analysis; video coding; Gaussian distributions; JVT scalable video coding; SNR scalable videos; SVC FGS coding quantization scheme; SVC FGS residue picture; SVC fine-granular; distortion-rate function; fine-granular SNR scalable layer; generalized Gaussian model; integer transform coefficients; rate-distortion function; statistical analysis; Computer science; Gaussian distribution; Independent component analysis; MPEG 4 Standard; Quantization; Rate-distortion; Static VAr compensators; Statistical analysis; Streaming media; Video coding;
Conference_Titel :
Multimedia and Expo, 2007 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-1016-9
Electronic_ISBN :
1-4244-1017-7
DOI :
10.1109/ICME.2007.4284855