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A Study on the Shape-Based Motion Estimation For MCFI  

Park, Ju-Hyun (전남대학교 전자컴퓨터공학부)
Kim, Young-Chul (전남대학교 전자컴퓨터공학부)
Hong, Sung-Hoon (전남대학교 전자컴퓨터공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.35, no.3C, 2010 , pp. 278-286 More about this Journal
Abstract
Motion Compensated Frame Interpolation(MCFI) has been used to reduce motion jerkiness for dynamic scenes and motion blurriness for LCD-panel display as post processing for large screen and full HD(high definition) display. Conventionally, block matching algorithms (BMA) are widely used to do motion estimation for simplicity of implementation. However, there are still several drawbacks. So in this paper, we propose a novel shape-based ME algorithm to increase accuracy and reduce ME computational cost. To increase ME accuracy, we do motion estimation based on shape of moving objects. And only moving areas are included for motion estimation to reduce computational cost. The results show that the computational cost is 25 % lower than full search BMA, while the performance is similar or is better, especially in the fast moving region.
Keywords
MCFI; BMA; Shape-based Motion Estimation;
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