Video-ReTime: Learning Temporally Varying Speediness for Time Remapping. (arXiv:2205.05609v1 [cs.CV])

Web: http://arxiv.org/abs/2205.05609

We propose a method for generating a temporally remapped video that matches
the desired target duration while maximally preserving natural video dynamics.
Our approach trains a neural network through self-supervision to recognize and
accurately localize temporally varying changes in the video playback speed. To
re-time videos, we 1. use the model to infer the slowness of individual video
frames, and 2. optimize the temporal frame sub-sampling to be consistent with
the model's slowness predictions. We demonstrate that this model can …

arxiv cv learning time video