Multi-pass algorithm of motion estimation in video encoding for generic GPU
Yu‐Cheng Lin, Pei-Lun Li, Chin‐Hsiang Chang, Chi-Ling Wu, You-Ming Tsao, Shao‐Yi Chien · 2006
The importance of video encoding has boomed rapidly since video data communication was widely needed. In this paper, we propose a multi-pass algorithm to accelerate the motion estimation (ME), the dominant part in video encoding, with the graphics processing unit (GPU). By the multi-pass method to unroll and rearrange the multiple nested loops, the complex ME can be implemented on GPU. Besides, ME can be executed efficiently with the built-in parallel processing and texture filter of GPU. Experimental results show that, by utilizing the computing power of GPU, about two times and 14 times speed-up can be achieved for integer-pel ME and MPEG-1/2 half-pel ME, respectively