Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/10008350,
  title    = {Extended Constraint Mask Based One-Bit Transform for Low-Complexity Fast Motion Estimation},
  author    = {Oğuzhan Urhan},
  country   = {Turkey},
  institution={University of Kocaeli},
  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, Computer, Energetic, Electronic and Communication Engineering},  volume    = {12},
  number    = {1},
  year      = {2018},
  pages     = {7 - 10},
  ee        = {http://waset.org/publications/10008350},
  url       = {http://waset.org/Publications?p=133},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 133, 2018},
}