02/02/2021

Motion-blurred Video Interpolation and Extrapolation

Dawit Mureja Argaw, Junsik Kim, Francois Rameau, In So Kweon

Keywords:

Abstract Paper Similar Papers

Abstract: Abrupt motion of camera or objects in a scene result in a blurry video, and therefore recovering high quality video requires two types of enhancements: visual enhancement and temporal upsampling. A broad range of research attempted to recover clean frames from blurred image sequences or temporally upsample frames by interpolation, yet there are very limited studies handling both problems jointly. In this work, we present a novel framework for deblurring, interpolating and extrapolating sharp frames from a motion-blurred video in an end-to-end manner. We design our framework by first learning the pixel-level motion that caused the blur from the given inputs via optical flow estimation and then predict multiple clean frames by warping the decoded features with the estimated flows. To ensure temporal coherence across predicted frames and address potential temporal ambiguity, we propose a simple, yet effective flow-based rule. The effectiveness and favorability of our approach are highlighted through extensive qualitative and quantitative evaluations on motion-blurred datasets from high speed videos.

The video of this talk cannot be embedded. You can watch it here:
https://slideslive.com/38948296
(Link will open in new window)
 0
 0
 0
 0
  Share    
This is an embedded video. Talk and the respective paper are published at AAAI 2021 virtual conference. If you are one of the authors of the paper and want to manage your upload, see the question "My papertalk has been externally embedded..." in the FAQ section.

Comments

Post Comment
no comments yet
code of conduct: tbd Characters remaining: 140

Similar Papers

 0
 0
 0
 0
 14:12 
 0
 0
 0
 0
 1:01 
 0
 0
 0
 0
 1:00 
 0
 0
 0
 0
 1:01 
 0
 0
 0
 0
 14:15 
 0
 0
 0
 0
 7:33 
 0
 0
 0
 0
 0:57 
 0
 0
 0
 0
 1:01 
 0
 0
 0
 0
 10:10 
 0
 0
 0
 0
 13:20 
 0
 0
 0
 0
 9:44 
 0
 0
 0
 0
 7:38 
 0
 0
 0
 0
 4:34 
 0
 0
 0
 0
 3:18 
 0
 0
 0
 0
 4:56 
 0
 0
 0
 0
 2:55 
 0
 0
 0
 0
 5:01 
 0
 0
 0
 0
 0:59 
 0
 0
 0
 0
 5:00 
 0
 0
 0
 0
 11:40 
 0
 0
 0
 0
 7:07 
 0
 0
 0
 0
 18:27 
 0
 0
 0
 0
 1:00 
 0
 0
 0
 0
 5:00 
 0
 0
 0
 0
 2:58 
 0
 0
 0
 0
 1:00 
 0
 0
 0
 0
 4:56 
 0
 0
 0
 0
 9:07 
 0
 0
 0
 0
 20:01 
 0
 0
 0
 0
 17:54 
 0
 0
 0
 0
 6:40 
 0
 0
 0
 0
 3:20 
 0
 0
 0
 0
 2:57 
 0
 0
 0
 0
 1:00 
 0
 0
 0
 0
 1:01 
 0
 0
 0
 0
 3:14 
 0
 0
 0
 0
 6:58 
 0
 0
 0
 0
 5:01 
 0
 0
 0
 0
 1:01 
 0
 0
 0
 0
 9:58