VHS to HDTV video translation using multi-task adversarial learning

Hongming Luo, Guangsen Liao, Xianxu Hou, Bozhi Liu, Fei Zhou*, Guoping Qiu

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review


There are large amount of valuable video archives in Video Home System (VHS) format. However, due to the analog nature, their quality is often poor. Compared to High-definition television (HDTV), VHS video not only has a dull color appearance but also has a lower resolution and often appears blurry. In this paper, we focus on the problem of translating VHS video to HDTV video and have developed a solution based on a novel unsupervised multi-task adversarial learning model. Inspired by the success of generative adversarial network (GAN) and CycleGAN, we employ cycle consistency loss, adversarial loss and perceptual loss together to learn a translation model. An important innovation of our work is the incorporation of super-resolution model and color transfer model that can solve unsupervised multi-task problem. To our knowledge, this is the first work that dedicated to the study of the relation between VHS and HDTV and the first computational solution to translate VHS to HDTV. We present experimental results to demonstrate the effectiveness of our solution qualitatively and quantitatively.

Original languageEnglish
Title of host publicationMultiMedia Modeling - 26th International Conference, MMM 2020, Proceedings
EditorsWen-Huang Cheng, Junmo Kim, Jung-Woo Choi, Wei-Ta Chu, Peng Cui, Min-Chun Hu, Wesley De Neve
Number of pages10
ISBN (Print)9783030377304
Publication statusPublished - 2020
Externally publishedYes
Event26th International Conference on MultiMedia Modeling, MMM 2020 - Daejeon, Korea, Republic of
Duration: 5 Jan 20208 Jan 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11961 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference26th International Conference on MultiMedia Modeling, MMM 2020
Country/TerritoryKorea, Republic of


  • GAN
  • HDTV
  • Multi-task learning
  • Unsupervised
  • VHS
  • Video translation


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