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A highly scalable parallel encoder version of the emergent JEM video encoder

机译:新兴的JEM视频编码器的高度可扩展并行编码器版本

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In 2016, 73% of total Internet traffic came from video transmission and this percentage is expected to reach 82% by 2021. These figures show the importance of using video compression standards that maximize video quality while minimizing the necessary bandwidth. In 2013, the HEVC standard was released accounting for an approximate 50% bit rate saving compared to H.264/AVC while maintaining the same reconstruction quality. To address increases in video IP traffic, a new generation of video coding techniques is required that achieve higher compression rates. Compression improvements are being implemented in a software package known as the Joint Exploration Test Model. In this work, we present two parallel JEM model solutions specifically designed for distributed memory platforms for both All Intra and Random Access coding modes. The proposed parallel algorithms achieved high levels of efficiency, in particular for the All Intra mode. They also showed great scalability.
机译:2016年,互联网总流量的73%来自视频传输,到2021年,这一比例预计将达到82%。这些数字表明,使用视频压缩标准的重要性在于使视频质量最大化,同时将必要的带宽最小化。 2013年,发布了HEVC标准,与H.264 / AVC相比,它节省了约50%的比特率,同时保持了相同的重建质量。为了解决视频IP流量的增加,需要实现更高压缩率的新一代视频编码技术。压缩改进正在称为联合勘探测试模型的软件包中进行。在这项工作中,我们提出了两个并行的JEM模型解决方案,这些解决方案是专为所有内部和随机访问编码模式的分布式内存平台而设计的。所提出的并行算法实现了高水平的效率,尤其是对于全帧内模式。它们还显示了出色的可伸缩性。

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