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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:基于子采样的块匹配算法的快速模式选择和H.264 / AVC快速帧内预测的体系结构设计

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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,称为块匹配算法(BMA),用于预测除DC模式以外的最佳方向模式,以进行快速帧内模式决策。边缘检测技术可直接预测亮度4×4,亮度16×16和色度8×8模式。我们将帧内预测过程分为两个步骤。第一步,我们使用预处理模式选择算法来找到为快速预测而选择的主要模式。在第二步骤中,将选择的较少的高潜力候选模式应用于计算模式决策的RD成本。仿真结果表明,与H相比,所提出的BMA方法将编码时间减少了75%,并且要求比特率提高约2%,峰值信噪比(PSNR)降低约0.07 dB。 .264 / AVC JM 14.2软件。该方法与以前的方法相比,实现了更少的PSNR降级和比特率增加,同时减少了编码时间。通过使用TSMC 0.18µm CMOS标准单元库来实现,该基于BMA的子采样处理器以104MHz的工作频率实现了全高清1920×1080实时编码。

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