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.
@article{arxiv.2303.02025,
title = {MAEVI: Motion Aware Event-Based Video Frame Interpolation},
author = {Ahmet Akman and Onur Selim Kılıç and A. Aydın Alatan},
journal= {arXiv preprint arXiv:2303.02025},
year = {2023}
}
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Submitted to International Conference on Image Processing (ICIP) 2023