An adaptive true motion estimation algorithm for frame rate conversion of high definition video and its hardware implementations

Çetin, Mert and Hamzaoğlu, İlker (2011) An adaptive true motion estimation algorithm for frame rate conversion of high definition video and its hardware implementations. IEEE Transactions on Consumer Electronics, 57 (2). pp. 923-931. ISSN 0098-3063

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Abstract

Frame Rate Up-Conversion (FRUC) is required for displaying low frame rate video signals on high frame rate flat panel displays. In this paper, we propose an adaptive true Motion Estimation (ME) algorithm for FRUC of High Definition (HD) video. The proposed ME algorithm produces similar quality results with less number of calculations or higher quality results with similar number of calculations compared to 3D Recursive Search true ME algorithm by adaptively using optimized sets of candidate search locations and several computational complexity reduction techniques. We also propose two different complexity hardware architectures for implementing this ME algorithm. The second hardware uses an efficient data re-use technique for reducing the number of off-chip memory accesses. We implemented both hardware architectures in Verilog HDL. The hardware implementations are capable of processing 158 and 168 720p HD frames per second on average respectively. Therefore, they can be used in consumer electronics products that require real-time FRUC of HD video(1).
Item Type: Article
Uncontrolled Keywords: Frame rate up conversion; True motion estimation; High definition video; Hardware implementation; FPGA
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Faculty of Engineering and Natural Sciences
Depositing User: İlker Hamzaoğlu
Date Deposited: 26 Oct 2011 15:25
Last Modified: 30 Jul 2019 14:17
URI: https://research.sabanciuniv.edu/id/eprint/17304

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