Inpainting of Vintage Films Based on Variational Auto-encoder

被引：0
|
作者：
Li, Yuhang [1 ]
Ding, Youdong [1 ]
Yu, Bing [1 ]
机构：
[1] Shanghai Univ, Shanghai Film Acad, Shanghai, Peoples R China
来源：
2020 5TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2020) | 2020年
关键词：
video inpainting; deep learning; variational auto-encoder; video temporal consistency;
D O I：
10.1109/ICMCCE51767.2020.00137
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
There are many existing video restoration frameworks, but there are no professional methods to deal with multiple degradation restorations of vintage films. With the help of the idea of mapping, this paper constructs a model with two variational autoencoders to repair the complex degradation problem. In addition, convolutional LSTM is used for video deflicker processing to obtain smoother and natural results. The experimental results prove that this method can repair different damages in the vintage films screen at the same time, and achieve good results.
引用
收藏
页码：612 / 616
页数：5
相关论文
共 50 条
  • [1] Hamiltonian Variational Auto-Encoder
    Caterini, Anthony L.
    Doucet, Arnaud
    Sejdinovic, Dino
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), 2018, 31
  • [2] COMPOUND VARIATIONAL AUTO-ENCODER
    Su, Shang-Yu
    Lin, Shan-Wei
    Chen, Yun-Nung
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, : 3577 - 3581
  • [3] A METHOD FOR FACE FUSION BASED ON VARIATIONAL AUTO-ENCODER
    Li, Xiang
    Wen, Jin-Mei
    Chen, An-Long
    Chen, Bo
    [J]. 2018 15TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP), 2018, : 77 - 80
  • [4] MIVAE: Multiple Imputation based on Variational Auto-Encoder
    Ma, Qian
    Li, Xia
    Bai, Mei
    Wang, Xite
    Ning, Bo
    Li, Guanyu
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 123
  • [5] Variational Auto-Encoder for text generation
    Hu, Haojin
    Liao, Mengfan
    Mao, Weiming
    Liu, Wei
    Zhang, Chao
    Jing, Yanmei
    [J]. PROCEEDINGS OF 2020 IEEE 5TH INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC 2020), 2020, : 595 - 598
  • [6] Image Inpainting Based on Improved Deep Convolutional Auto-encoder Network
    QIANG Zhenping
    HE Libo
    DAI Fei
    ZHANG Qinghui
    LI Junqiu
    [J]. Chinese Journal of Electronics, 2020, 29 (06) : 1074 - 1084
  • [7] A trajectory outlier detection method based on variational auto-encoder
    Zhang, Longmei
    Lu, Wei
    Xue, Feng
    Chang, Yanshuo
    [J]. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2023, 20 (08) : 15075 - 15093
  • [8] Anomaly detection method based on convolutional variational auto-encoder
    Yu, Xiaosheng
    Xu, Ming
    Wang, Ying
    Wang, Siqi
    Hu, Nan
    [J]. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2021, 42 (05): : 151 - 158
  • [9] Detection Algorithm of the Mimicry Attack based on Variational Auto-Encoder
    Wang, Qunke
    Fang, Lanting
    Zhu, Zhenchao
    Huang, Jie
    [J]. 51ST ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS (DSN-W 2021), 2021, : 114 - 120
  • [10] Deep variational auto-encoder for text classification
    Xie, Lin
    Liu, Genggeng
    Lian, Hongfei
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL CYBER PHYSICAL SYSTEMS (ICPS 2019), 2019, : 737 - 742
12345