@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}, }