Title :
A Novel Fast Motion Estimation Algorithm Based on Starting Search Point Prediction
Author :
Lin, Zhaohua ; Zou, Yanbiao
Author_Institution :
Sch. of Logistics, Beijing Normal Univ. Zhuhai, Zhuhai, China
Abstract :
Motion estimation is the most time consuming part of the video coding because of its complexity. A novel fast block matching motion estimation algorithm named Long-Rood fast motion estimation algorithm based on starting search point prediction is proposed for real-time video coding. A number of standard test sequences are adopted for performance comparison of the proposed algorithm and full search (FS), three-step search (TSS), diamond search (DS) and adaptive Rood pattern search (ARPS) algorithms.The experimental results show that the proposed algorithm is about 3.29~17.24 times faster than that of TSS, 1.71~9.05 times faster than that of DS, and 1.24~4.45 times faster than ARPS, while the peak signal-to-noise ratio (PSNR) is almost the same or a little higher than the other algorithms.
Keywords :
image matching; image motion analysis; image sequences; search problems; video coding; Long-Rood fast motion estimation algorithm; block matching motion estimation algorithm; real-time video coding; starting search point prediction; Automation; Image coding; Mechatronics; Motion estimation; Motion measurement; PSNR; Testing; Time measurement; Transform coding; Video coding; long-rood; motion estimation; starting search point; video coding;
Conference_Titel :
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-0-7695-3583-8
DOI :
10.1109/ICMTMA.2009.654