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.

中文翻译：

---

基于模式相关性和期望模式列表的 H.264/SVC 模式决策

视频编码器的设计涉及快速模式决策 (FMD) 算法的实现，以在保持编码性能的同时降低计算复杂度。H.264/可伸缩视频编码（SVC）虽然实现了高可伸缩性和编码效率，但在实现其详尽计算方面也具有很高的复杂性。本文提出了一种利用层间相关性减少冗余候选模式的新算法。期望模式列表是基于成为基础层中每个块的最佳模式的概率以及通过参考帧和当前帧之间模式的相关性在增强层中选择的候选模式来创建的。我们的算法在联合可伸缩视频模型 (JSVM) 9.19 中实现。15 个参考软件，并根据平均编码时间、峰值信噪比 (PSNR) 和比特率评估性能。实验结果表明，编码时间提高了 41.89%，PSNR 损失最小为 0.02dB，比特率增加了 0.05%。