MAEVI: Motion Aware Event-Based Video Frame Interpolation

03/03/2023
by   Ahmet Akman, et al.
0

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.

READ FULL TEXT
research
09/19/2022

E-VFIA : Event-Based Video Frame Interpolation with Attention

Video frame interpolation (VFI) is a fundamental vision task that aims t...
research
01/09/2019

GIF2Video: Color Dequantization and Temporal Interpolation of GIF images

Graphics Interchange Format (GIF) is a highly portable graphics format t...
research
03/31/2022

Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion

Recently, video frame interpolation using a combination of frame- and ev...
research
08/20/2017

360-degree Video Stitching for Dual-fisheye Lens Cameras Based On Rigid Moving Least Squares

Dual-fisheye lens cameras are becoming popular for 360-degree video capt...
research
05/23/2023

Reparo: Loss-Resilient Generative Codec for Video Conferencing

Loss of packets in video conferencing often results in poor quality and ...
research
12/17/2021

Enhanced Frame and Event-Based Simulator and Event-Based Video Interpolation Network

Fast neuromorphic event-based vision sensors (Dynamic Vision Sensor, DVS...
research
11/02/2020

Revisiting Adaptive Convolutions for Video Frame Interpolation

Video frame interpolation, the synthesis of novel views in time, is an i...

Please sign up or login with your details

Forgot password? Click here to reset