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Fast and efficient intra coding techniques for smooth regions in screen content coding based on boundary prediction samples

机译:基于边界预测样本的屏幕内容编码中平滑区域的快速高效帧内编码技术

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This paper presents fast and efficient intra prediction algorithms for screen content coding (SCC). The proposed algorithms focus on smooth regions frequently appeared in screen content videos, which have the characteristics of noiselessness. All the samples in a noiseless smooth region exhibit exactly the same pixel value. We then propose two intra coding techniques for noiseless smooth regions in SCC based on the smoothness of the boundary samples which are used for intra prediction. Our proposed algorithm can reduce computational complexity by at most 26.7% while keeping nearly the same video quality. Moreover, by removing the redundant coding bits for intra prediction modes, computational complexity can be further reduced to at most 53.3% in terms of encoding time with bitrate reduction up to 1.2%.
机译:本文提出了用于屏幕内容编码(SCC)的快速有效的帧内预测算法。所提出的算法集中于屏幕内容视频中经常出现的平滑区域,该区域具有无噪声的特征。无噪声平滑区域中的所有样本均显示完全相同的像素值。然后,我们基于用于帧内预测的边界样本的平滑度,为SCC中的无噪声平滑区域提出了两种帧内编码技术。我们提出的算法可以将计算复杂度降低最多26.7%,同时保持几乎相同的视频质量。此外,通过去除用于帧内预测模式的冗余编码比特,就编码时间而言,计算复杂度可以进一步降低至最多53.3%,而比特率降低高达1.2%。

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