Paper
24 June 2005 A rate control algorithm for MPEG-2 to H.264 real-time transcoding
Jingyu Yang, Qionghai Dai, Wenli Xu, Rong Ding
Author Affiliations +
Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59605U (2005) https://doi.org/10.1117/12.633372
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China
Abstract
The demand of transcoding MPEG-2 to H.264 will be raised as the H.264 promises higher coding efficiency over previous video compression standards, while MEPG-2 has been widely adopted in many existing systems. This paper presents a rate control scheme for MPEG-2 to H.264 transcoder with the consideration of peak signal-to-noise ratio (PSNR) fluctuation control and re-quantized quality loss reduction. Our main idea is to reuse information extracted from the incoming MPEG-2 video stream as efficiently as possible. An analytic formula is constructed to set an appropriate initial quantization parameter (QP) for different encoding settings via extensive experiments. The mean absolute difference for current basic unit to be coded is predicted with that of MPEG-2 coded units, which thus avoids complicated parameter estimation. Furthermore, a logarithmic model is established to describe the relationship of quantization parameter between MPEG-2 and H.264 under the same PSNR level. The QP derived from the well-known quadratic model is further revised by a lower bound obtained with this proposed model. Therefore the overall coding performance is improved by setting reasonable QPs for those macroblocks which had been substantially quantized in original MPEG-2 video stream. According to experiment results, the transcoded video quality is improved significantly and the fluctuation of PSNR is restrained remarkably with the rate control algorithm.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jingyu Yang, Qionghai Dai, Wenli Xu, and Rong Ding "A rate control algorithm for MPEG-2 to H.264 real-time transcoding", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59605U (24 June 2005); https://doi.org/10.1117/12.633372
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CITATIONS
Cited by 18 scholarly publications and 1 patent.
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KEYWORDS
Video

Computer programming

Quantization

Video compression

Visualization

Video coding

Multimedia

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