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High Efficient Distributed Video Coding with Parallelized Design for Cloud Computing

机译:并行计算的高效分布式视频编码云计算

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In this work, by combining coding tools developed in recent literatures on transform domain WZ video coding with some newly developed modules on both encoding and decoding sides, an efficient and practical WZ video coding architecture, dubbed as Distributed video coding with PArallelized design for Cloud computing (DISPAC), is proposed to better the corresponding rate-distortion (RD) performance. Another unique feature of DISPAC, lies in the parallelizability of the modules used by its WZ decoder which increased the decoding speed largely. Experimental results conducted on an emulated Could computing environment reveal that DISPAC codec can gain up to 3.6 dB in the RD measures and 60.97 times faster in the decoding speed as compared with the-state-of-art WZ video codec, respectively.
机译:在这项工作中,通过将有关变换域WZ视频编码的最新文献中开发的编码工具与编码和解码方面的一些新开发的模块相结合,一种高效实用的WZ视频编码架构被称为具有分布式计算的分布式视频编码,用于云计算(DISPAC),旨在改善相应的速率失真(RD)性能。 DISPAC的另一个独特功能在于其WZ解码器使用的模块的可并行性,这极大地提高了解码速度。在模拟的Could计算环境上进行的实验结果表明,与最新的WZ视频编解码器相比,DISPAC编解码器在RD测量中的增益高达3.6 dB,解码速度快60.97倍。

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