Title :
Adaptive subband video coding using bivariate generalized Gaussian distribution model
Author :
Coban, Muhammed Z. ; Mersereau, Russell M.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
A multidimensional probabilistic modeling technique is proposed and its applications to video coding is presented. The probability distribution of two adjacent pixels in subband signals are modeled by bivariate generalized Gaussian distributions (GGD). Quantizer design, bit allocation and entropy coding is based on this probability distribution function (PDF) model. We show that use of bivariate generalized Gaussian PDF models yields a significant improvement in rate-distortion performance over univariate GGD models
Keywords :
Gaussian distribution; adaptive signal processing; entropy codes; quantisation (signal); rate distortion theory; video coding; PDF model; adaptive subband video coding; adjacent pixels; bit allocation; bivariate generalized Gaussian distribution model; entropy coding; image coding; multidimensional probabilistic modeling; parametric modeling; probability distribution; probability distribution function; quantizer design; rate distortion performance; signal distributions; subband signals; univariate GGD models; Bit rate; Covariance matrix; Entropy; Gaussian distribution; Histograms; Image coding; Probability distribution; Quantization; Shape; Video coding;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.544844
