论文标题
H.264/SVC模式基于模式相关和所需模式列表的决定
H.264/SVC Mode Decision Based on Mode Correlation and Desired Mode List
论文作者
论文摘要
视频编码器的设计涉及实施快速模式决策（FMD）算法，以降低计算复杂性，同时保持编码的性能。尽管H.264/可伸缩视频编码（SVC）达到了高可扩展性和编码效率，但在实施其详尽的计算方面也具有很高的复杂性。在本文中，提出了一种新型算法，以通过利用层之间的相关性来减少冗余候选模式。根据参考框架和当前框架之间的模式相关性，基于成为基础层中每个块的最佳模式的概率以及在增强层中选择的最佳模式的概率创建所需模式列表。我们的算法是在联合可伸缩视频模型（JSVM）9.19.15中实现的，并根据平均编码时间，峰信号与噪声比（PSNR）和比特速率对性能进行评估。实验结果表明，编码时间的提高了41.89％，PSNR的损失最小为0.02db，比特率增加了0.05％。
The design of video encoders involves the implementation of fast mode decision (FMD) algorithm to reduce computation complexity while maintaining the performance of the coding. Although H.264/scalable video coding (SVC) achieves high scalability and coding efficiency, it also has high complexity in implementing its exhaustive computation. In this paper, a novel algorithm is proposed to reduce the redundant candidate modes by making use of the correlation among layers. The desired mode list is created based on the probability to be the best mode for each block in the base layer and a candidate mode selection in the enhancement layer by the correlations of modes among the reference frame and current frame. Our algorithm is implemented in joint scalable video model (JSVM) 9.19.15 reference software and the performance is evaluated based on the average encoding time, peak signal to noise ratio (PSNR) and bit rate. The experimental results show 41.89% improvement in encoding time with minimal loss of 0.02dB in PSNR and 0.05% increase in bit rate.
