Fast intra coding unit size decision for HEVC with GPU based keypoint detection
In this paper, a fast intra Coding Unit (CU) size decision framework based on keypoint detection on Graphic Processing Unit (GPU) is proposed. In this framework, firstly the original frames are sent to GPU and then keypoint detection is conducted with numerous threads, which is able to avoid bringing in additional computational complexity even in realtime systems. Then, based on the keypoint distribution, whether to split the CU to the next coding depth is efficiently predicted. Experiments show that the proposed algorithm can achieve over 25% time saving under all intra (AI) configuration with ignorable performance loss.