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MAEVI: Motion Aware Event-Based Video Frame Interpolation

2023-03-03Code Available0· sign in to hype

Ahmet Akman, Onur Selim Kılıç, A. Aydin Alatan

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Abstract

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 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.

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