关键词: 关键词: 屏幕内容视频, 帧间快速算法, 时空域相关性, 运动静止特性, 编码单元分割深度, 预测模式

Abstract: Abstract: Aiming at the problem that the high complexity of screen content inter-frame coding, a fast inter-frame algorithm based on temporal-spatial correlation is proposed. First, the encoding frames are classified to static frames and motion frames according to motion-static detection algorithm. Then, different encoding strategies are used for motion and static frames, respectively. For the static frames, the optimal partition depth and the optimal prediction mode of Coding Unit (CU) are determined based on the CU partition depth and the prediction mode of the temporal correlation. For the static Largest CU (LCU) in the motion frames, the CU partition is terminated prematurely using the temporal correlation, and the mode selection is only for the large size modes. Whereas for the motion LCU in motion frames, the motion and static characteristic of adjacent LCUs is utilized to determines the current LCU partition and mode selection. Experimental results show that the proposed method can reduce the average coding time by 46.40% when BDBR is increased by 3.65% compared with the original coding platform. The proposed method can significantly reduce the complexity of screen content inter-frame encoding process in the premise of the negligible BDBR performance loss. Therefore the proposed method is beneficial to the real-time application of screen content video.

Key words: Keywords: screen content video, fast inter-frame algorithm, temporal-spatial correlation, motion-static characteristics, coding unit(CU) partition depth, prediction mode