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 :
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