基于边界预测样本的屏幕内容平滑区域快速高效编码技术

Sik-Ho Tsang, Yui-Lam Chan, W. Siu
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引用次数: 27

摘要

提出了一种快速有效的屏幕内容编码(SCC)内预测算法。该算法主要针对屏幕内容视频中频繁出现的平滑区域,这些区域具有无噪声的特点。在无噪声平滑区域内的所有样本都具有完全相同的像素值。然后,我们提出了两种基于边界样本的平滑性的无噪声SCC平滑区域的帧内编码技术,用于帧内预测。我们提出的算法在保持几乎相同的视频质量的情况下,最多可以减少26.7%的计算复杂度。此外,通过去除帧内预测模式的冗余编码位,可以进一步将计算复杂度从编码时间上降低到最多53.3%,比特率降低1.2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast and efficient intra coding techniques for smooth regions in screen content coding based on boundary prediction samples
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%.
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