A method of VAE-based video colorization

Bo Chen; Wenguang Zheng; Kai Shi

doi:10.1117/12.2656621

20 October 2022 A method of VAE-based video colorization

Bo Chen, Wenguang Zheng, Kai Shi

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124511G (2022) https://doi.org/10.1117/12.2656621
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

In this paper, we propose an automated method to colorize old black and white videos. The model consists of several trainable components, containing a coloring module for video frame coloring and a refinement module for spatiotemporal color refinement. Video coloring is a multimodal problem. We satisfy the need for diversity in the coloring results of video frames by using a video frame coloring network to generate diverse coloring results. Then we use the color refinement module to enhance the coloring effect of the initial coloring results. We also introduce the optical flow method to constrain the consistency of coloring between video frames. By predicting the creation of multiple different coloring results, the user has control over these coloring results. This is essential in practical engineering applications. Experimental results show that this method has better result performance than existing video coloring methods.

Citation Download Citation

Bo Chen, Wenguang Zheng, and Kai Shi "A method of VAE-based video colorization", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124511G (20 October 2022); https://doi.org/10.1117/12.2656621

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