Improved region-of-interest based rate control for error resilient HEVC framework

Htoo Maung Maung, S. Aramvith, Y. Miyanaga
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引用次数: 7

Abstract

In this paper, we propose the improvement of Region-of-Interest (ROI) rate control on our previously proposed error resilient framework for High Efficiency Video Coding (HEVC). Reference picture selection (RPS) method and ROI-based intra refresh method are jointly considered in our previous work [6]. In addition, we also proposed ROI-based CTU depth level decision algorithm for reducing the complexity of the algorithm. To enable coding unit (CU) level intra refresh, we also integrate ROI information into the existing rate control. The ROI information is used not only for intra refresh frame but also for every frame in this paper. Experimental results show that the improved rate control contributes to the better quality than the work in [6] and HEVC with reference picture selection (RPS). For 10% packet error rate, the average PSNR improvement for 720p sequences and WVGA sequences are about 0.5 dB and 0.2 dB respectively. The maximum PSNR improvement is 0.88 dB and the minimum value is 0.13 dB. In addition, we also evaluate the impact of ROI-based CTU depth level decision module over complexity reduction by comparing proposed algorithm with and without CTU depth level decision module. Results show that ROI-based CTU depth level decision module can reduce the computational cost from 1.2% to 11.37%.
改进的基于兴趣区域的错误率控制HEVC框架
在本文中,我们在先前提出的用于高效视频编码(HEVC)的错误弹性框架的基础上,提出了对感兴趣区域(ROI)率控制的改进。参考图片选择(RPS)方法和基于roi的帧内刷新方法在我们之前的工作中被联合考虑[6]。此外,为了降低算法的复杂度,我们还提出了基于roi的CTU深度级决策算法。为了实现编码单元(CU)级的帧内刷新,我们还将ROI信息集成到现有的速率控制中。在本文中,ROI信息不仅用于帧内刷新帧,而且用于每一帧。实验结果表明,改进的速率控制比[6]和参考图片选择(RPS)的HEVC的工作质量更好。当包错误率为10%时,720p序列和WVGA序列的平均PSNR分别提高约0.5 dB和0.2 dB。PSNR的最大改善值为0.88 dB,最小改善值为0.13 dB。此外,我们还评估了基于roi的CTU深度级决策模块对降低复杂性的影响,通过比较所提出的算法与没有CTU深度级决策模块。结果表明,基于roi的CTU深度级决策模块可以将计算成本从1.2%降低到11.37%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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