一种高质量可扩展SHVC的内部复杂度降低算法

Yong Li, Fukang Wang
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引用次数: 1

摘要

高效视频编码(SHVC)的最新可扩展扩展显著提高了压缩效率。同时,SHVC需要更多的编码时间。为此,通过统计分析,提出了一种快速深度决策和模式选择算法,以减少SHVC的帧内编码时间。首先,利用强相关编码单元(CU)的深度等级来预测增强层中可操作CU的深度范围,并提前跳过可能性较小的深度;然后,将各层对应CU深度的平均绝对差值与预设临界值进行比较,提前选择层间预测模式,避免层内模式的冗余计算。最后,利用层间相关性预测方向模的范围,排除一些不相关的方向模。实验结果表明,在不影响编码效率的情况下,该算法的平均编码时间节省了83%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Intra Complexity Reduction Algorithm for Quality Scalable SHVC
The newest Scalable extension of High Efficiency Video Coding (SHVC) significantly improves compression efficiency. At the same time, SHVC takes more encoding time. Therefore, a fast depth decision and mode selection algorithm is proposed to reduce the intra coding time of SHVC through statistical analysis. First, the depth levels of the strongly relevant coding unit (CU) are utilized to predict depth range of the operational CU in the enhancement layer, and the depth with the little possibility is early skipped. Then, the average absolute difference between the corresponding CU depths of each layer is compared with a preset critical value to select the inter-layer prediction mode in advance, and the redundant calculation of intra mode is precluded. Finally, inter-layer correlation is used to predict the range of direction mode, and some unrelated direction modes are excluded. The experimental results show that the average coding time of proposed algorithm is saved by more than 83% when the loss of coding efficiency is negligible.
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