屏幕内容编码内预测的线性回归模型

Wei Peng, Hongkui Wang, Li Yu
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引用次数: 0

摘要

高效视频编码-屏幕内容编码(HEVC- scc)继承了HEVC中传统的角内预测技术。然而,平面模式和直流模式对于屏幕内容视频来说有些重复,具有无传感器噪声等特点。因此,本文提出了一种新的内预测模式,即线性回归(LR)模式,它将平面模式和直流模式结合为一种模式。LR模式提高了对屏幕内容视频中衰落区域的帧内预测精度。此外,通过优化最可能模式(MPM)的构造,提高了MPM列表中最佳模式的命中率。实验结果表明,与HM $16.20+\text{SCM} 8.8$相比,该方法在编码时间基本保持不变的情况下,可以实现0.57%的BD-BR减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linear Regression Mode of Intra Prediction for Screen Content Coding
High Efficiency Video Coding - Screen Content Coding (HEVC-SCC) follows the traditional angular intra prediction technique in HEVC. However, the Planar mode and the DC mode are somewhat repetitive for screen content video with features such as no senor noise. Hence, this paper proposes a new intra prediction mode called linear regression (LR) mode, which combines the Planar mode and the DC mode into one mode. The LR mode improves the prediction accuracy of intra prediction for fading regions in screen content video. Besides, by optimizing the most probable mode (MPM) construction, the hit rate of the best mode in the MPM list is improved. The experimental results show that the proposed method can achieve 0.57% BD-BR reduction compared with HM $16.20+\text{SCM} 8.8$, while the coding time remains largely the same.
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