高效视频编码(high efficiency video coding,HEVC)相较于上一代编码标准H.264降低了约50%的比特率,但为了提高帧内预测的准确性,HEVC提出的35种预测模式导致计算量大幅增加,对软件和硬件实现均构成了挑战.针对该问题,在HEVC的基础上提出了一种依据图片纹理方向,结合预测模式之间的关联性来确定帧内预测模式的快速算法.实验结果表明,本算法与HEVC参考软件HM16.20相比,在BD-Rate损失仅为5.79%的情况下,节省46%以上的编码时间,显著降低了帧内预测模式决策的复杂度,便于在嵌入式系统等硬件资源有限的端侧实现算法落地.
Although high-efficiency video coding（HEVC） can reduce bit rates by approximately 50% over its predecessor H.264, 35 prediction modes have been proposed to improve intra-prediction accuracy, resulting in a significant increase in computational complexity and a challenge for both software and hardware implementation. To address this issue, this study proposes a fast algorithm based on HEVC to determine the intra-prediction mode based on the image’s texture direction and correlation between the prediction modes. Experimental results show that this algorithm can save over 46% encoding time when the BD-rate loss is only 5.79% compared to the HEVC reference software HM16.20, which significantly reduces the complexity of the intra prediction mode decision and makes it easy to implement the algorithm landing on the end side with limited hardware resources such as embedded systems.
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