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Adaptive Slice-level Parallelism For H.264/avc Encoding Using Pre Macroblock Mode Selection

机译:使用预宏块模式选择进行H.264 / avc编码的自适应条带并行

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In order to achieve high computational performance and low power consumption, many modern microprocessors are equipped with special multimedia instructions and multi-core processing capabilities. The number of cores on a single chip increases double every three years. Therefore, besides complexity reduction by smart algorithms such as fast macroblock mode selection, an effective algorithm for parallelizing H.264/AVC is also very crucial in implementing a real-time encoder on a multi-core system. This algorithm serves to uniformly distribute workloads for H.264/AVC encoding over several slower and simpler processor cores on a single chip. In this paper, we propose a new adaptive slice-size selection technique for efficient slice-level parallelism of H.264/AVC encoding on a multi-core processor using fast macroblock mode selection as a pre-processing step. For this we propose an estimation method for the computational complexity of each macroblock using pre macroblock mode selection. Simulation results, with a number of test video sequences, show that, without any noticeable degradation, the proposed fast macroblock mode selection reduces the total encoding time by about 57.30%. The proposed adaptive slice-level parallelism has good parallel performance compared to conventional fixed slice-size parallelism. The proposed method can be applied to many multi-core systems for real-time H.264 video encoding.
机译:为了实现较高的计算性能和较低的功耗,许多现代微处理器都配备了特殊的多媒体指令和多核处理功能。单个芯片上的内核数量每三年增加一倍。因此,除了通过诸如快速宏块模式选择之类的智能算法来降低复杂度之外,用于并行化H.264 / AVC的有效算法对于在多核系统上实现实时编码器也非常关键。该算法用于将H.264 / AVC编码的工作负载均匀分布在单个芯片上几个较慢且较简单的处理器内核上。在本文中,我们提出了一种新的自适应分片大小选择技术,用于在多核处理器上使用快速宏块模式选择作为预处理步骤来实现H.264 / AVC编码的有效分片级别并行性。为此,我们提出了一种使用预宏块模式选择来估算每个宏块的计算复杂度的方法。通过大量测试视频序列的仿真结果表明,在没有任何明显降低的情况下,建议的快速宏块模式选择将总编码时间减少了约57.30%。与常规的固定切片大小并行度相比,所提出的自适应切片级并行度具有良好的并行性能。所提出的方法可以应用于许多用于实时H.264视频编码的多核系统。

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