JOURNAL ARTICLE

An Advanced Parallel FPGA Architecture for Bi-Directional Motion Estimation

Yangfan HuangMinjun DengDonglian LiZhenzhen LiMingyan YuCai-Lan ZengYu ZhangZhuo ChenP. CaoRan Liu

Year: 2015 Journal:   International Journal of Hybrid Information Technology Vol: 8 (9)Pages: 235-244   Publisher: Science and Engineering Research Support Society

Abstract

Motion estimation (ME) and motion compensation (MC) are the key elements for frame rate up-conversion (FRUC) system. Fast and accurate motion estimation is the premise of high quality motion compensation. Unlike conventional unidirectional motion estimation which brings holes, overlaps and blocking artifacts, the bi-directional motion estimation does not produce any overlapped pixel or hole in the interpolated frames. As a result, the bi-directional motion estimation has better performance than conventional unidirectional motion estimation. This paper presents an efficient FPGA architecture targeting bi-directional motion estimation hardware implementation. This proposed architecture can achieve real-time processing for 1280x720@60Hz under 200MHz operating frequency. The design is described in Verilog HDL, verified in Virtex5 FPGA platform. Experimental results show that the proposed architecture has high performance and low cost for bi-directional motion estimation algorithm. This architecture can be used for video post-processing system.

Keywords:
Field-programmable gate array Computer science Motion (physics) Architecture Motion estimation Computer architecture Artificial intelligence Computer vision Computer hardware Geography

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Topics

Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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