Abstract: Sample Adaptive Offset(SAO) in High Efficient Video Coding(HEVC) uses the pixel as the unit for classification and choose the optimal value for compensation,which requires a large amount of computation..According to the dependency of offsets and Coding Unit(CU) depths,a fast SAO method is proposed.It classifies videos according to the texture complexity and skips some unnecessary samples for SAO,thereby improving video coding efficiency.Experimental results show that the proposed method reduces 60.32% SAO encoding time with negligible performance loss.

Key words: High Efficient Video Coding(HEVC), Coding Unit(CU), self-adaption, border, Quantization Parameter(QP)

摘要： 高性能视频编码中的样点自适应补偿以像素为单位进行分类,选取最优值进行补偿,计算量极大。针对该问题,通过分析目前编码标准中样点自适应补偿值和编码单元划分深度之间的关联,提出一种快速样点自适应补偿算法。将视频按照纹理复杂度进行区分,通过减少某些不必要的样点进行自适应补偿处理,从而提高视频编码效率。实验结果表明,在有极小编码性能损失的情况下,该算法可以减少60.32%的样点自适应补偿编码时间。

关键词: 高性能视频编码, 编码单元, 自适应, 边界, 量化参数

CLC Number: 

• TN919