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Computational complexity reduction algorithm for inter mode prediction in video coding

机译:用于视频编码中的帧间模式预测的计算复杂性算法

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H.264, MPEG-4 Part 10, is the latest digital video coding standard that achieves very high data compression by using several new coding features. One of the new feature is variable block sizes for inter frame coding to increase compression efficiency. However, to achieve this, the H.264 encoder employs a complex mode decision technique based on rate-distortion optimization (RDO) that requires high computational complexity, which significantly increases the encoder complexity. In this paper, we propose a classified region algorithm (CRA) that analyzes the spatial and temporal homogeneity of the block by using cross differences to reduce the number of modes that are required for RDO calculation in inter mode decision. The proposed low computational complexity algorithm significantly reduces the inter mode computations without affecting the video quality. The experimental results show that the proposed method is able to reduce the complexity by up to 67% on average with negligible degradation in subjective and objective quality
机译:H.264,MPEG-4第10部分是最新的数字视频编码标准,通过使用几个新的编码功能来实现非常高的数据压缩。其中一个新功能是用于帧间编码的可变块大小,以提高压缩效率。然而,为了实现这一点,H.264编码器采用基于需要高计算复杂度的速率失真优化(RDO)的复杂模式判定技术,这显着增加了编码器复杂性。在本文中,我们提出了一种分类区域算法(CRA),其通过使用交叉差异来分析块的空间和时间同质性,以减少在帧间模式决策中的RDO计算所需的模式数量。所提出的低计算复杂性算法显着降低了互相计算的不影响视频质量。实验结果表明,该方法能够平均降低67%的复杂性,在主观和客观质量下可忽略不计

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