Rate-Distortion Analysis of Dead-Zone Plus Uniform Threshold Scalar Quantization and Its Application—Part II: Two-Pass VBR Coding for H.264/AVC

Rate-Distortion Analysis of Dead-Zone Plus Uniform Threshold Scalar Quantization and Its Application—Part II: Two-Pass VBR Coding for H.264/AVC
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DOI:
10.1109/tip.2012.2216275
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发表时间:
2013
影响因子:
10.6
通讯作者:
Jun Sun;Y. Duan;Jiangtao Li;Jiaying Liu;Zongming Guo
Jun Sun;Y. Duan;Jiangtao Li;Jiaying Liu;Zongming Guo
中科院分区:
计算机科学1区
文献类型:
--
作者:
Jun Sun;Y. Duan;Jiangtao Li;Jiaying Liu;Zongming Guo

文献摘要

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在本文的第一部分,我们推导了一个源模型,该模型描述了广义高斯分布的死区加均匀门限标量量化器的速率、失真和量化步长之间的关系。该信源模型包括码率量化、失真量化(D-Q)和失真率(D-R)模型。在这一部分中,我们首先通过将计算结果与JM 16.0的编码数据进行比较,严格验证了所提出的源模型的准确性。为了更好地将该信源模型应用于H.264可变比特率编码的双程码率控制方法中,我们开发了有效的参数估计策略。基于我们的D-Q和D-R模型,所提出的方法具有高稳定性、低复杂度和易于实现的特点。大量实验表明:1)平均峰值信噪比方差仅为0.0658 d B,而JM 16.0‘S方法为1.8758 d B,平均码率控制误差为1.95%;2)与最新的两通码率控制方法相比,该方法在平滑视频质量方面有明显改善。
In the first part of this paper, we derive a source model describing the relationship between the rate, distortion, and quantization steps of the dead-zone plus uniform threshold scalar quantizers with nearly uniform reconstruction quantizers for generalized Gaussian distribution. This source model consists of rate-quantization, distortion-quantization (D-Q), and distortion-rate (D-R) models. In this part, we first rigorously confirm the accuracy of the proposed source model by comparing the calculated results with the coding data of JM 16.0. Efficient parameter estimation strategies are then developed to better employ this source model in our two-pass rate control method for H.264 variable bit rate coding. Based on our D-Q and D-R models, the proposed method is of high stability, low complexity and is easy to implement. Extensive experiments demonstrate that the proposed method achieves: 1) average peak signal-to-noise ratio variance of only 0.0658 dB, compared to 1.8758 dB of JM 16.0's method, with an average rate control error of 1.95% and 2) significant improvement in smoothing the video quality compared with the latest two-pass rate control method.