DocumentCode
2608843
Title
Estimating the Optimal Quantization Parameter in H.264
Author
Czuni, László ; Császár, Gergely ; Licsár, Attila
Author_Institution
Pannon Univ., Veszprem
Volume
4
fYear
0
fDate
0-0 0
Firstpage
330
Lastpage
333
Abstract
The quantization parameter (QP) has a very important impact on the compression rate in H.264. In this paper we show that in order to achieve efficient rate-control coding a good estimate for the initial QP parameter is necessary. An extensive altering of this value, to keep the required titrate, results in significant fluctuation of the image quality and decreases the average quality of the whole coded sequence. We propose a simple and fast method to decide the starting value for QP for each part of the video sequence. Experimental results show stabilized image quality and significant gain in PSNR
Keywords
data compression; estimation theory; image coding; image sequences; quantisation (signal); H.264 compression; coded sequence; image quality; optimal quantization parameter; rate-control coding; video sequence; Bit rate; Fluctuations; Image coding; Image quality; PSNR; Quadratic programming; Quantization; Software testing; Standards development; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.502
Filename
1699847
Link To Document