  Utilization of event-based cameras is expected to improve the visual quality
of video frame interpolation solutions. We introduce a learning-based method to
exploit moving region boundaries in a video sequence to increase the overall
interpolation quality.Event cameras allow us to determine moving areas
precisely; and hence, better video frame interpolation quality can be achieved
by emphasizing these regions using an appropriate loss function. The results
show a notable average \textit{PSNR} improvement of $1.3$ dB for the tested
data sets, as well as subjectively more pleasing visual results with less
ghosting and blurry artifacts.
