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A real-time parallel scalable video encoder for multimedia streaming systems

机译:用于多媒体流系统的实时并行可伸缩视频编码器

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Scalable video coding (SVC) is a video coding technique that mainly aims its target in resolving problems of multimedia communication between servers and various clients with different computational power, transmission bandwidths, and display resolutions. In this paper, we developed a parallel SVC encoding system to achieve the real-time coding performance of SVC. First, a GOP-level bit-stream structure that is fully compatible with the standard SVC decoder was proposed to eliminate the data dependencies of encoding among GOPs. Based on this bit-stream structure, we developed a parallel SVC encoding algorithm to exploit the parallelism on multicore systems. Finally, the proposed parallel SVC encoder was implemented and integrated into a multimedia streaming system for the evaluation. The experimental results showed that for CIF/QCIF and VGA/QVGA 2-layer SVC encoding, the proposed parallel SVC encoder can achieve 50.96 and 103.99 times speedup with negligible PSNR drop, respectively.
机译:可伸缩视频编码(SVC)是一种视频编码技术,其主要目的在于解决具有不同计算功率,传输带宽和显示分辨率的服务器和各种客户端之间的多媒体通信问题的目标。在本文中,我们开发了一个并行SVC编码系统,以实现SVC的实时编码性能。首先,提出了一种与标准SVC解码器完全兼容的GOP级比特流结构,以消除GOP之间编码的数据依赖性。基于该比特流结构,我们开发了一个并行SVC编码算法,用于利用多核系统上的并行性。最后,实现并将所提出的并行SVC编码器实现并集成到用于评估的多媒体流系统中。实验结果表明,对于CIF / QCIF和VGA / QVGA 2层SVC编码,所提出的并联SVC编码器可以实现50.96和103.99倍,分别具有可忽略的PSNR液滴。

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