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Fast CU size decision based on temporal homogeneity detection

机译:基于时间均匀性检测的快速CU大小决策

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High-Efficiency Video Coding (HEVC) is the latest video coding standard of the Joint Collaborative Team on Video Coding (JCT-VC). HEVC noticeably improves compression performance when comparing with previous standards such as H264, providing a major leap forward in video compression technology. However this improvement is achieved increasing the complexity of the encoding process. In this paper an optimized CU size decision algorithm is proposed in order to reduce HEVC computational cost by means of temporal homogeneity classification, which is directly applied to the input image using a GPU.
机译:高效视频编码(HEVC)是视频编码联合协作团队(JCT-VC)的最新视频编码标准。与以前的标准(例如H264)相比,HEVC显着提高了压缩性能,从而在视频压缩技术方面实现了重大飞跃。但是,实现了这种改进,增加了编码过程的复杂性。本文提出了一种优化的CU大小决策算法,以通过时间均匀性分类降低HEVC的计算成本,并使用GPU将其直接应用于输入图像。

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