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针对新一代视频编码标准离散视编码(HEVC)帧间预测编码计算复杂度过高的问题,提出一种利用变换量化后零块分布特征进行快速帧间模式筛选的低复杂度算法。首先统计SKIP和帧间2 N×2 N模式下零系数与非零系数的区域分布特征,判断其运动特征和运动估计匹配效果,用以分析全零块下SKIP模式的分布;同时在非全零块下结合残差块的SATD代价分类筛选PU模式分布,从而优先选择符合零块分布特征的PU模式,以达到快速筛选帧间模式,降低计算复杂度的效果。实验结果表明,在低延迟和随机访问配置条件下,本文提出的算法在保证编码性能的情况下,相比原有HM快速算法,编码时间平均分别可减少50.3和49.3%,BDBR仅降低0.03%,有效地降低了编码复杂度。
In order to overcome the high computational complexity of inter-frame predictive coding of a new generation of video coding standard discrete-video coding (HEVC), a low-complexity algorithm for fast inter-frame pattern selection using transformed and quantized block distribution features is proposed. Firstly, the regional distribution characteristics of zero coefficients and non-zero coefficients in SKIP and inter-frame 2 N × 2 N modes are statistically analyzed to determine the matching characteristics between the motion characteristics and the motion estimation, so as to analyze the distribution of SKIP modes under all zero blocks. Under the zero block, the PU pattern is classified by the SATD cost classification of the residual block, so that the PU pattern satisfying the distribution of zero blocks is preferentially selected so as to quickly filter the inter-frame mode and reduce the computational complexity. The experimental results show that under the conditions of low delay and random access configuration, the proposed algorithm can reduce the encoding time by 50.3% and 49.3% respectively compared with the original HM fast algorithm, while the BDBR only reduces 0.03% , Effectively reducing the coding complexity.