In this paper, an improved motion estimation (ME) approach based on weighted constrained one-bit transform is proposed for block-based ME employed in video encoders. Binary ME approaches utilize low bit-depth representation of the original image frames with a Boolean exclusive-OR based hardware efficient matching criterion to decrease computational burden of the ME stage. Weighted constrained one-bit transform (WC\u20111BT) based approach improves the performance of conventional C-1BT based ME employing 2-bit depth constraint mask instead of a 1-bit depth mask. In this work, the range of constraint mask is further extended to increase ME performance of WC-1BT approach. Experiments reveal that the proposed method provides better ME accuracy compared existing similar ME methods in the literature.<\/p>\r\n","references":"[1]\tT. C. Chen, Y. H. Chen, S. F. Tsai, S. Y. Chien, and L.G. Chen, \u201cFast algorithm and architecture design of low-power integer motion estimation,\u201d IEEE Trans. Circuits Syst. Video Technol., vol. 17, pp. 568-577, 2007.\r\n[2]\tB. Natarajan, V. Bhaskaran, and K. Konstantinides, \u201cLow-complexity block-based motion estimation via one-bit transforms,\u201d IEEE Trans. Circuit Syst. Video Technol., vol. 7, pp. 702-706, 1999.\r\n[3]\tA. Ert\u00fcrk, S. Ert\u00fcrk, \u201cTwo-bit transform for binary block motion estimation,\u201d IEEE Trans. Circuit Syst. Video Technol., vol. 15, pp. 938- 946, 2005.\r\n[4]\tO. Urhan, S. Ert\u00fcrk, \u201cConstrained one-bit transform for low-complexity block motion estimation,\u201d IEEE Trans. Circuits and Syst. Video Technol., vol. 14, pp. 478\u2013482, 2007.\r\n[5]\tM. K. G\u00fcll\u00fc, \u201cWeighted constrained one-bit transform based fast block motion estimation,\u201d IEEE Trans. Consum. Electron., vol. 57 pp. 751-755, 2011.\r\n[6]\tS. Lee, G. Jeon, and J. Jeong, \u201cFast motion estimation based on enhanced constrained one-bit transform,\u201d Electron. Lett., vol. 50, pp. 746-748, 2014.\r\n[7]\tA. \u00c7elebi, O. Urhan, I. Hamzao\u011flu, S. Ert\u00fcrk, \u201cEfficient hardware implementations of low bit depth motion estimation algorithms,\u201d IEEE Signal Process. Letts., vol. 16, pp. 513-516, 2009.\r\n[8]\tA. \u00c7elebi, O. Urhan, \u201cHigh performance hardware architecture for constrained one-bit transform based motion estimation,\u201d in Proc 19th European Signal Processing Conference (EUSIPCO 2011), 2011, pp. 2151-2155.\r\n[9]\tS. K. Chatterjee, \u201cImplementation of weighted constrained one-bit transformation based fast motion estimation,\u201d IEEE Trans. Consum. Electron., vol. 58, pp. 646-653, 2012.\r\n[10]\tA. Ak\u0131n, I. Hamzao\u011flu, \u201cA high performance hardware for early terminated C-1BT based motion estimation,\u201d in Proc Design and Technology of Integrated Systems in Nanoscale Era (DTIS) Conference, 2016.\r\n[11]\tO. Urhan, \u201cTruncated gray coding\u2013based fast block motion estimation,\u201d J. Electron. Imaging, vol. 22, Article ID: 023018, 2013. \r\n[12]\tS. Lim, J. Kim, S. Yu, \u201cModified one-bit transform method with dynamic search range,\u201d J. Electron. Imaging, vol. 22, Article ID: 023001, 2013.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 133, 2018"}