Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 6
1901-1904

Side information generation algorithm based on deep learning OFI

Lin Yumin
Zhou Junwei
School of Computer Science & Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China
DOI: 10.19734/j.issn.1001-3695.2021.10.0439

Abstract

In distributed video coding(DVC), generating high-quality side information and improving decoding performance in various sports scenes is a crucial research area. This paper proposed a deep learning optical flow interpolation(OFI) side information generation algorithm. The encoder used interval overlapped distributed arithmetic codes(DAC) to encode the video. The decoder extracted the decoded key frames and inputted them into the optical flow interpolation network for side information generation. The network used a multi-layer optical flow module to generate optical flow, and used the optical flow to warp key frames to generate a preliminary side information estimation, and then underwent a fusion process to eliminate occlusion to produce more refined results. Finally, the side information assisted the decoding tree to complete the decoding. The experimental results show that comparing with the existing method, the PSNR of this method increases up to 2.25 dB, which happens mainly in the linear motion scenes. At the same time, the SSIM increases 0.001 5~0.064 8 in both linear and non-linear scenes. The decoded video rate-distortion curve shows consistent results. It proves that the algorithm can improve the estimation of linear motion side information, and it also has excellent robustness on the structure of non-linear motion side information.

Foundation Support

国家自然科学基金资助项目(61601337)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.10.0439
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 6
Section: Technology of Graphic & Image
Pages: 1901-1904
Serial Number: 1001-3695(2022)06-052-1901-04

Publish History

[2021-12-14] Accepted Paper
[2022-06-05] Printed Article

Cite This Article

蔺毓敏, 周俊伟. 基于深度学习的光流插帧边信息生成算法 [J]. 计算机应用研究, 2022, 39 (6): 1901-1904. (Lin Yumin, Zhou Junwei. Side information generation algorithm based on deep learning OFI [J]. Application Research of Computers, 2022, 39 (6): 1901-1904. )

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  • 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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