Adaptive Model-Based Quantization Parameter Decision for Video Rate Control 


Vol. 32,  No. 4, pp. 411-417, Apr.  2007


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  Abstract

The rate control is an essential component in video coding to provide better quality under given coding constraints, such as channel capacity, frame rates, etc. In general, source data cannot be described as a single distribution in a video coding, hence it can cause an exhaustive approximation problem. It drops a coding efficiency under weak channel environments, such as mobile communications. In this paper, we design a new quantization parameter decision model that is based on a rate-distortion function of generalized Gaussian distribution. In order to adaptively express various source data distribution, we decide a shape parameter by observing a ratio of samples, which have a small value. For experiment, the proposed algorithm is implemented into H.264/AVC video codec, and its performance is compared with that of MPEG-2 TM5, H.263 TMN8 rate control algorithm. As shown in simulation results, the proposed algorithm provides an improved quality rather than previous algorithms and generates the number of bits closed to the target bits.

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  Cite this article

[IEEE Style]

S. Kim and Y. Ho, "Adaptive Model-Based Quantization Parameter Decision for Video Rate Control," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 4, pp. 411-417, 2007. DOI: .

[ACM Style]

Seonki Kim and Yo-Sung Ho. 2007. Adaptive Model-Based Quantization Parameter Decision for Video Rate Control. The Journal of Korean Institute of Communications and Information Sciences, 32, 4, (2007), 411-417. DOI: .

[KICS Style]

Seonki Kim and Yo-Sung Ho, "Adaptive Model-Based Quantization Parameter Decision for Video Rate Control," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 4, pp. 411-417, 4. 2007.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880