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.

基于直方图引导的视频上色方法 ST-HVC 通过整合直方图和光流特征以及设计 U-shape 网络，实现了在两个视频数据集中 在定量和定性方面都具有优异性能的结果。