Due to multi-layer encoding and Inter-layer prediction, Scalable High Efficiency Video Coding (SHVC) has extremely high coding complexity. It is very crucial to improve its coding speed so as to promote widespread and cost-effective SHVC applications. In this paper, we propose a new probability-based fast Intra prediction algorithm for spatial SHVC. More specifically, first, we integrate depth probabilities with textural based all-zero blocks and all-nonzero blocks through Lagrange Interpolation Polynomial (LIP) to derive thresholds to early skip unlikely depths and early terminate depth selection. Second, to early skip Intra mode prediction, we combine mode probabilities with Jarque-Bera test through LIP to test the residual coefficients of Inter-layer reference (ILR) mode. Third, we adopt the difference of Hadamard Costs (HCs) of horizontal, vertical and diagonal directional modes to predict candidate directional modes (DMs), and then exploit both the percentages of gradient amplitudes and HCs for DM early termination. Experimental results demonstrate that the proposed algorithm can achieve a speed up gain of more than 61% with 0.03% decrease in Bjøntegaard Delta Bit Rate on average.

中文翻译：

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空间 SHVC 的基于概率的快速帧内预测算法

由于多层编码和层间预测，可扩展高效视频编码（SHVC）具有极高的编码复杂度。提高其编码速度对于促进广泛且具有成本效益的SHVC应用至关重要。在本文中，我们提出了一种新的基于概率的空间 SHVC 快速帧内预测算法。更具体地说，首先，我们通过拉格朗日插值多项式 (LIP) 将深度概率与基于纹理的全零块和全非零块相结合，以得出提前跳过不太可能的深度和提前终止深度选择的阈值。其次，为了早期跳过帧内模式预测，我们通过 LIP 将模式概率与 Jarque-Bera 测试相结合，以测试层间参考 (ILR) 模式的残差系数。第三，我们采用水平的 Hadamard Costs (HCs) 的差异，垂直和对角方向模式来预测候选方向模式（DM），然后利用梯度幅度和HC的百分比来提前终止DM。实验结果表明，所提出的算法可以实现超过 61% 的加速增益，而 Bjøntegaard Delta 比特率平均降低了 0.03%。