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

Volume

4

fYear

1996

fDate

7-10 May 1996

Firstpage

1990

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.544844

Filename

544844