Title :
Predictive entropy coding of gain-shape VQ parameters
Author :
Eryurtlu, Faruk M Ö ; Kondoz, Ahmet M. ; Evans, Barry G.
Author_Institution :
Surrey Univ., Guildford, UK
Abstract :
This paper presents a novel video coding algorithm which exploits past frame statistics for entropy coding of the gain-shape VQ parameters. A subband transform has been used to decorrelate the motion compensation residual in order to overcome the block visibility problem. The vectors with samples from different subbands are quantised using a gain-shape VQ technique which allows effective bit rate control. When compared to the H.261 standard, the proposed algorithm has given higher PSNR values at lower bit rates
Keywords :
entropy codes; motion compensation; prediction theory; vector quantisation; video coding; H.261 standard; PSNR; block visibility problem; effective bit rate control; gain-shape VQ parameters; motion compensation residual; past frame statistics; predictive entropy coding; subband transform; video coding algorithm; Bit rate; Decorrelation; Discrete cosine transforms; Entropy coding; Filters; Motion compensation; Motion estimation; PSNR; Shape; Statistics; Vector quantization; Video coding;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480060
