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Volume 33 Issue 3
Mar.  2011
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Chen Yun-Bi, Guo Li, Li Zheng-Dong, Chi Ling-Hong. An Efficient Parallel Architecture for One-bit Transform Based Motion Estimation[J]. Journal of Electronics & Information Technology, 2011, 33(3): 717-722. doi: 10.3724/SP.J.1146.2010.00636
Citation: Chen Yun-Bi, Guo Li, Li Zheng-Dong, Chi Ling-Hong. An Efficient Parallel Architecture for One-bit Transform Based Motion Estimation[J]. Journal of Electronics & Information Technology, 2011, 33(3): 717-722. doi: 10.3724/SP.J.1146.2010.00636

An Efficient Parallel Architecture for One-bit Transform Based Motion Estimation

doi: 10.3724/SP.J.1146.2010.00636
  • Received Date: 2010-06-28
  • Rev Recd Date: 2010-09-10
  • Publish Date: 2011-03-19
  • In order to meet the processing requirements of portable real-time full HD video compression, this paper proposes a novel macroblock-level parallel architecture based on 1-D source pixels based linear array, which overcomes the problem of massive amount of resources and large delay caused by 2-D arrays used in literatures. The proposed architecture is easy to extend and area-economical. Furthermore, towards the system bottlenecks, systolic cell and data memory organization, optimized structure are presented. Compared with the traditional architecture, the proposed architecture can achieve the improvements of speed and area at the same time. FPGA implementation results show that, LUTs is reduced by 43%, DFFs is reduced by 25%, BRAMs is reduced by 75%, and performance is increased by 32%.
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  • Chen Tung-chien, Chien Shao-yi, and Huang Yu-wen, et al.. Analysis and architecture design of an HDTV720p 30 frames/s H264/AVC encoder[J].. IEEE Transactions on Circuits and Systems for Video Technology.2006, 16(6):673-688[3]Natarajan B, Bhaskaran V, and Konstantinides I. Low- complexity block-based motion estimation via one-bit transforms[J].IEEE Transactions on Circuits and Systems for Video Technology.1997, 7(4):702-706[4]Luo J H, Wang C N, and Chiang T H. A novel all-binary motion estimation (ABME) with optimized hardware architectures[J].IEEE Transactions on Circuits and Systems for Video Technology.2002, 12(8):700-712[5]Celebi A, et al.. Efficient hardware implementations of low bit depth motion estimation algorithms[J].IEEE Signal Processing Letters.2009, 16(6):513-516[6]Akin A, Dogan Y, and Hamzaoglu I. High performance hardware architectures for one bit transform based motion estimation[J].IEEE Transactions on Consumer Electronics.2009, 55(2):941-949[7]Erturk S. Multiplication-free one-bit transform for low- complexity block-based motion estimation[J].IEEE Signal Processing Letters.2007, 14(2):109-112[8]Urhan O and Erturk S. Constrained one-bit transform for low complexity block motion estimation[J].IEEE Transactions on Circuits and Systems for Video Technology.2007, 17(4):478-482[9]Chen Fu-kun, Teng Jui-che, and Jou Yue-dar, et al. Dynamically constrained one-bit transform for motion vector estimation[C]. Fifth International Conference on Information Assurance and Security, Xian, 18-20 Aug. 2009: 375-378.
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