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18th International Conference on Pattern Recognition (ICPR'06) Volume 4
Estimating the Optimal Quantization Parameter in H.264
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
Laszlo Cz?, Pannon University, Veszpr?m, Hungary
Gergely Csaszar, Pannon University, Veszpr?m, Hungary
Attila Licsar, Pannon University, Veszpr?m, Hungary
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 bitrate, 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.
Citation:
Laszlo Cz?, Gergely Csaszar, Attila Licsar, "Estimating the Optimal Quantization Parameter in H.264," icpr, vol. 4, pp.330-333, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006
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