2023/03/03 by Ahmet Akman, Akman, Ahmet, Onur Selim Kılıç +3 · 1 citation
Computer Science · Engineering · #Advanced Data Storage Technologies #Advanced Memory and Neural Computing #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Neural Networks and Reservoir Computing #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2303.02025
openalex publication_date 2023/03/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.