H.264中一种基于R-Q模型的自适应码率控制算法研究

doi:10.3969/j.issn.1000-436x.2012.12.005

Abstract

Abstract:

The foundation theory of rate control theory in H.264 video coding standard was analyzed.The latest research work about rate control algorithm were summarized.On the basis of analysis.A novel frame-level rate control algorithm was proposed.Firstly,in order to reduce the inter-dependency between RDO (rate-distortion optimization) and rate control,a kind of two-stage rate control algorithm was presented.Secondly,to provide more accurate prediction of the frame complexity,instead of the MAD (mean absolute difference),bits information in the RDO-based mode decision process was employed to predict the frame complexity.Thirdly,a self-adaptive exponential R-Q model was proposed.The proposed rate control algorithm overcomes the disadvantages in the rate control precision and encoding performance of former algorithms.

Key words: H.264, rate control, frame complexity

Xin-zi ZHENG,Bing-qing LUO,Zhi-xin SUN. Research on adaptive rate control algorithm for H.264 based on R-Q model[J]. Journal on Communications, 2012, 33(12): 35-42.

Figures/Tables 13

References 29

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参数	参数设置
测试平台	JM14.2
GOP结构	IPPP
Hadamard变换	on
率失真优化	on
编码帧数	100
搜索范围	16
熵编码模式	CAVLC
参考帧数目	4
运动估计搜索范围	-16~+16
运动估计精度	1/4 pixel
帧率	30frame/s

测试序列	编码算法	编码时间/s	误差平方和
Foreman	JM14.2算法	435.124	26.27
	本文算法	424.326	25.21
Carphone	JM14.2算法	428.391	22.43
	本文算法	309.592	22.29
News	JM14.2算法	435.791	61.53
	本文算法	421.347	59.68

测试序列	编码算法	PSNR/dB	码率/(kbit·s^{- 1})	目标码率/(kbit·s^{- 1})
Foreman	JM14.2算法	28.89	128.27	128
	本文算法	29.12	128.10
Silent	JM14.2算法	40.69	128.56	128
	本文算法	40.89	128.32
Bus	JM14.2算法	28.67	256.97	256
	本文算法	28.69	256.27
Footall	JM14.2算法	33.21	256.79	256
	本文算法	33.54	256.26
bridge	JM14.2算法	36.42	33.41	32
	本文算法	36.79	32.21
Suzie	JM14.2算法	35.25	33.61	32
	本文算法	35.36	32.34

Research on adaptive rate control algorithm for H.264 based on R-Q model

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