SHVC中帧内预测快速算法

Fast algorithm for intra prediction in quality SHVC

为了降低质量可分级高性能视频编码的复杂度,提出了帧内预测快速算法。首先,利用层间和空间编码单元深度相关性,预测增强层编码单元的深度值范围;然后,在每一编码深度层下,通过Jarque-Bera检验层间预测模式的残差系数是否服从正态分布,判断层间预测模式是否为最优模式,以便跳过高复杂度的帧内预测;最后,对当前的深度进行假设检验,判断编码单元内残差系数是否呈现显著性差异,以便提前终止深度划分。实验结果表明,与标准可分级高性能视频编码编码器相比,所提出算法在保持整体编码效率的前提下,平均降低了约79%的增强层编码时间。

In order to reduce the coding complexity of quality Scalable High efficiency Video Coding(SHVC),a fast algorithm for intra prediction is proposed.First,inter-layer correlation and spatial correlation are combined to predict the coding unit depth range of the enhancement layer.Then,at each depth level,the residual coefficients are tested by Jarque-Bera to determine whether the inter layer reference mode is optimal.If the inter layer reference mode is optimal,the high-complexity intra prediction can be skipped directly.Finally,in order to terminate the depth division ahead of time,hypothesis tests are carried out to determine whether the residual coefficients in the coding unit show significant differences.Experimental results demonstrate that compared with standard SHVC encoder,the proposed algorithm reduces the coding time of the enhancement layer by 79%on average with almost the same coding efficiency.