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

机译:死区加统一阈值标量量化的速率失真分析及其应用-第二部分:用于H.264 / AVC的两遍VBR编码

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摘要

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.
机译:在本文的第一部分中,我们推导了一个源模型,该模型描述了死区的速率,失真和量化步骤之间的关系,以及统一的阈值标量量化器和近似统一的重构量化器,用于广义高斯分布。此源模型包括速率量化,失真量化(D-Q)和失真速率(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,来严格确认提出的源模型的准确性。然后,开发出有效的参数估计策略,以在我们的H.264可变比特率编码的两步速率控制方法中更好地采用此源模型。基于我们的D-Q和D-R模型,该方法具有较高的稳定性,较低的复杂度并且易于实现。大量的实验表明,该方法达到了:1)平均峰值信噪比方差仅为0.0658 dB,而JM 16.0方法为1.8758 dB,平均速率控制误差为1.95%,以及2)显着改善与最新的两次通过率控制方法相比,在平滑视频质量方面更具优势。

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