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Deep Video Color Propagation by Meyer, Simone; Cornillère, Victor; Djelouah, Abdelaziz; Schroers, Christopher; Gross, Markus is a scholarly article available to read on EtoBox.

What is Deep Video Color Propagation about?

Traditional approaches for color propagation in videos rely on some form of matching between consecutive video frames. Using appearance descriptors, colors are then propagated both spatially and temporally. These methods, however, are computationally expensive and do not take advantage of semantic information of the scene. In this work we propose a deep learning framework for color propagation that combines a local strategy, to propagate colors frame-by-frame ensuring temporal stability, and a global strategy, using semantics for color propagation within a longer range. Our evaluation shows the superiority of our strategy over existing video and image color propagation methods as well as neural photo-realistic style transfer approaches.

Author

Meyer, Simone; Cornillère, Victor; Djelouah, Abdelaziz; Schroers, Christopher; Gross, Markus

Published

2018

Language

EN