  In conventional electronic video stabilization, the stabilized frame is
obtained by cropping the input frame to cancel camera shake. While a small
cropping size results in strong stabilization, it does not provide us
satisfactory results from the viewpoint of image quality, because it narrows
the angle of view. By fusing several frames, we can effectively expand the area
of input frames, and achieve strong stabilization even with a large cropping
size. Several methods for doing so have been studied. However, their
computational costs are too high for embedded systems such as smartphones.
  We propose a simple, yet surprisingly effective algorithm, called the
stitching stabilizer. It stitches only two frames together with a minimal
computational cost. It can achieve real-time processes in embedded systems, for
Full HD and 30 FPS videos. To clearly show the effect, we apply it to
hyperlapse. Using several clips, we show it produces more strongly stabilized
and natural results than the existing solutions from Microsoft and Instagram.
