分级视频编码中宏块相关性快速模式决策

Fast mode decision of macroblock correlation within Scalable Video Coding

为降低空时分级视频编码中自适应层间预测模式的计算复杂度,利用增强层中时域宏块相关性的特点,提出一种随时间等级变化的快速模式决策算法。该算法将参考宏块使用过的模式按照其率失真优化代价排序,选择其中代价较小的模式作为当前宏块的动态备选方案,从而有效地提高编码效率。在JSVM上的实验结果表明,同原有非优化决策算法相比,在PSNR平均降低0.0148dB、比特率增加0.55%的情况下,该优化算法使得平均编码时间减少21.67%。

To reduce the computation complexity of adaptive inter-layer prediction within spatial and temporal scalable video coding,a fast mode decision algorithm is proposed by exploiting the macroblock correlation of temporal level in enhancement layers.This algorithm recomposes a dynamic candidate mode group for the current macroblock from the used modes of co-located reference macroblocks which are sort-ordered by rate distortion cost in order to improve the encoding efficient.Experimental results on JSVM demonstrate that the proposed algorithm can achieve a reduction of 21.67% encoding time on average,with a negligible average PSNR loss of 0.014 8 dB and a 0.55% bit rate increasing.