@article{(Open Science Index):https://publications.waset.org/pdf/10008350,
	  title     = {Extended Constraint Mask Based One-Bit Transform for Low-Complexity Fast Motion Estimation},
	  author    = {Oğuzhan Urhan},
	  country	= {},
	  institution	= {},
	  abstract     = {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‑1BT) 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.
},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {12},
	  number    = {1},
	  year      = {2018},
	  pages     = {7 - 10},
	  ee        = {https://publications.waset.org/pdf/10008350},
	  url   	= {https://publications.waset.org/vol/133},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 133, 2018},
	}