English

Histogram-guided Video Colorization Structure with Spatial-Temporal Connection

Computer Vision and Pattern Recognition 2023-08-10 v1

Abstract

Video colorization, aiming at obtaining colorful and plausible results from grayish frames, has aroused a lot of interest recently. Nevertheless, how to maintain temporal consistency while keeping the quality of colorized results remains challenging. To tackle the above problems, we present a Histogram-guided Video Colorization with Spatial-Temporal connection structure (named ST-HVC). To fully exploit the chroma and motion information, the joint flow and histogram module is tailored to integrate the histogram and flow features. To manage the blurred and artifact, we design a combination scheme attending to temporal detail and flow feature combination. We further recombine the histogram, flow and sharpness features via a U-shape network. Extensive comparisons are conducted with several state-of-the-art image and video-based methods, demonstrating that the developed method achieves excellent performance both quantitatively and qualitatively in two video datasets.

Keywords

Cite

@article{arxiv.2308.04899,
  title  = {Histogram-guided Video Colorization Structure with Spatial-Temporal Connection},
  author = {Zheyuan Liu and Pan Mu and Hanning Xu and Cong Bai},
  journal= {arXiv preprint arXiv:2308.04899},
  year   = {2023}
}

Comments

6 pages; Accepted at IEEE ICME

R2 v1 2026-06-28T11:51:49.906Z