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首页> 外文期刊>Signal Processing. Image Communication: A Publication of the the European Association for Signal Processing >A fast inter coding algorithm for HEVC based on texture and motion quad-tree models
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A fast inter coding algorithm for HEVC based on texture and motion quad-tree models

机译:基于纹理和运动四叉树模型的HEVC快速帧间编码算法

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In order to reduce the encoding complexity of the emerging high efficiency video coding (HEVC) standard, a fast inter coding algorithm for HEVC based on texture and motion quad-tree models is proposed. First, the coding units are classified into motion or static blocks according to a motion/static detection algorithm. Then, different encoding schemes are adopted for each type of block. In particular, we can make full use of statistical properties and temporal correlations to determine the depth range and prediction mode of static largest coding tree units (LCTUs). Moreover, fast coding unit size and mode decision are made by means of quad-tree models and spatiotemporal correlations for the motion LCTUs. Finally, we merge the above schemes together to gain better performance. Experimental results show that the proposed overall algorithm, compared with the original HEVC encoding scheme, reduces encoding time by 47.5% on average with a Bjonteggard delta bit rate increase of only 1.6% for various test sequences under random access condition. Compared with a state-of-the-art algorithm, the proposed method can save more encoding time while maintaining comparative rate distortion performance. (C) 2016 Elsevier B.V. All rights reserved.
机译:为了降低新兴的高效视频编码(HEVC)标准的编码复杂度,提出了一种基于纹理和运动四叉树模型的HEVC快速帧间编码算法。首先,根据运动/静态检测算法将编码单元分类为运动或静态块。然后,针对每种类型的块采用不同的编码方案。特别是,我们可以充分利用统计属性和时间相关性来确定静态最大编码树单元(LCTU)的深度范围和预测模式。此外,借助四叉树模型和运动LCTU的时空相关性,可以快速确定编码单元的大小和模式。最后,我们将以上方案合并在一起以获得更好的性能。实验结果表明,与原始HEVC编码方案相比,所提出的总体算法在随机访问条件下,各种测试序列的平均Bjonteggard delta比特率仅增加1.6%,而编码时间平均减少了47.5%。与最新算法相比,该方法可以节省更多的编码时间,同时保持相对的速率失真性能。 (C)2016 Elsevier B.V.保留所有权利。

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