Linear Regression Mode of Intra Prediction for Screen Content Coding

Abstract

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 <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$16.20+\text{SCM} 8.8$</tex> , while the coding time remains largely the same.