Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 4
1214-1220

Video colorization method combining attention mechanism and multi-scale feature fusion

Zhou Keming1a,1b
Kong Guangqian1a,1b
Deng Zhouhui1c,1d,2
1. a. State Key Laboratory of Public Big Data, b. School of Computer Science & Technology, c. School of Mathematics & Statistics, d. Gui'an Kechuang Supercomputing Power Algorithm Laboratory, Guizhou University, Guiyang 550025, China
2. Gui'an New Area Kechuang Industry Development Co. , Ltd. , Guiyang 550025, China
DOI: 10.19734/j.issn.1001-3695.2023.07.0351

Abstract

To address the issue that existing video colorization methods are complicated to guarantee both coloring quality and temporal consistency, this paper proposed a video colorization method AMVC-GAN combining attention mechanism and multi-scale feature fusion. Firstly, it proposed a GAN-based video colorization network model. It designed a multi-scale feature fusion module in the generator of GAN with a cyclic time network as the main body to obtain information of different time frequencies. Secondly, to effectively consider the relationship between adjacent frames, it used the features extracted from different time frequencies to strengthen the connection between frames as a way to enhance the temporal consistency of colorization. Finally, to obtain more helpful information, it introduced an attention module in the upsampling part, and optimally trained the results by utilizing PatchGAN to enhance the final colorization effect. Comparing with the state-of-the-art automatic video colorization methods on DAVIS and VIDEVO datasets, the results show that AMVC-GAN ranks first in multiple indicators, with better time consistency and colorization effect. Compared with other methods, AMVC-GAN can effectively reduce time flicker, while ensuring more real and natural colorization effect.

Foundation Support

国家自然科学基金资助项目(62266011)
贵州省基础研究计划资助项目(黔科合基础-ZK［2022］一般119)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.07.0351
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 4
Section: Technology of Graphic & Image
Pages: 1214-1220
Serial Number: 1001-3695(2024)04-037-1214-07

Publish History

[2023-11-01] Accepted Paper
[2024-04-05] Printed Article

Cite This Article

周柯明, 孔广黔, 邓周灰. 结合注意力机制与多尺度特征融合的视频彩色化方法 [J]. 计算机应用研究, 2024, 41 (4): 1214-1220. (Zhou Keming, Kong Guangqian, Deng Zhouhui. Video colorization method combining attention mechanism and multi-scale feature fusion [J]. Application Research of Computers, 2024, 41 (4): 1214-1220. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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