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Fast mode selection with sub-sampled based block matching algorithm and architecture design for H.264/AVC fast intra prediction

机译:基于子采样的基于块匹配算法和架构设计的快速模式选择/ AVC快速帧内预测

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In this paper, we propose a regular fast algorithm, which is called Block Matching Algorithm (BMA), to predict the best direction mode except for the DC mode for fast intra mode decision. The edge detective technique predicts luma-4×4, luma-16×16, and chroma-8×8 modes directly. We partition the intra prediction procedure into two steps. At the first step, we use the pre-processing mode selection algorithms to find the primary mode which is selected for fast prediction. At the second step, the selected fewer high-potential candidate modes are applied to calculate the RD cost for the mode decision. Simulation results show that the proposed BMA method reduces the encoding time by 75%, and requires bit-rate increase about 2% and peak signal-to-noise ratio (PSNR) decrease about 0.07 dB in QCIF and CIF sequences, compared with the H.264/AVC JM 14.2 software. The methods achieve less PSNR degradation and bit-rate increase than the previous methods with more encoding time reduction. By implementing with TSMC 0.18µm CMOS standard cell library, the proposed sub-sampled BMA based processor achieves the full-HD 1920×1080 real-time encoding with 104MHz operational frequency.
机译:在本文中,我们提出了一种常规的快速算法,其被称为块匹配算法(BMA),以预测除了快速帧内模式决定的DC模式之外的最佳方向模式。边缘侦探技术预测LUMA-4× 4,LUMA-16× 16,Chroma-8×直接8种模式。我们将帧内预测程序分为两个步骤。在第一步中,我们使用预处理模式选择算法来查找选择快速预测的主要模式。在第二步骤中,应用所选择的较少的高潜能候选模式以计算模式决策的RD成本。仿真结果表明,所提出的BMA方法将编码时间降低75%,并且在与H相比,QCIF和CIF序列中需要比特率增加约2%,峰值信噪比(PSNR)减少约0.07 dB .264 / AVC JM 14.2软件。该方法实现较少的PSNR劣化和比特率增加,而不是先前的方法,具有更多的编码时间减少。通过使用TSMC 0.18µ M CMOS标准单元库来实现,所提出的子采样BMA的处理器实现全HD 1920× 1080使用104MHz运行频率的实时编码。

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