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首页> 外文会议>2017 7th International Conference on Integrated Circuits, Design, and Verification >Texture characteristic based fast algorithm for CU size decision in HEVC intra coding
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Texture characteristic based fast algorithm for CU size decision in HEVC intra coding

机译：HEVC帧内编码中基于纹理特征的CU大小决策快速算法

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摘要

The High-Efficiency Video Coding(HEVC) standard adopts hierarchical partitioning technique which classified as coding unit(CU), prediction unit(PU), transform unit(TU) based on quad-tree structure. Also, in order to improve intra predict accuracy, HEVC employed 35 types of extended intra prediction modes. Because of those advanced techniques, HEVC achieves almost double times of compression efficiency compared to H.264/AVC. On the other hand, however, high computational complexity derived as a critical problem. In this paper, we present a fast CU size decision algorithm based on texture information to reduce the complexity of Intra mode in HEVC. Experimental results show that the proposed algorithm accomplishes substantial encoding time saving up to 69.5% and averagely 50% with a negligible drop in BD-PSNR and BD-BR. It only shows 0.025dB loss of Peak Signal-to-Noise Ratio (PSNR) and 0.87% increase on bit-rate compared with original HEVC model (HM).
机译：高效视频编码（HEVC）标准采用分层划分技术，该技术基于四叉树结构分为编码单元（CU），预测单元（PU），变换单元（TU）。另外，为了提高帧内预测精度，HEVC采用了35种扩展帧内预测模式。由于这些先进的技术，HEVC的压缩效率几乎是H.264 / AVC的两倍。但是，另一方面，高计算复杂度却是一个关键问题。在本文中，我们提出了一种基于纹理信息的快速CU尺寸决策算法，以减少HEVC中Intra模式的复杂性。实验结果表明，该算法可节省高达69.5％的编码时间，平均节省50％的编码时间，而BD-PSNR和BD-BR的下降幅度可忽略不计。与原始HEVC模型（HM）相比，它仅显示出0.025dB的峰值信噪比（PSNR）损失和0.87％的比特率增加。

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