Temporal coherent video decolorization using proximity optimization

Yizhang TAO, Yiyi SHEN, Bin SHENG, Ping LI, Enhua WU

Research output: Chapter in Book/Report/Conference proceedingChapters

Abstract

Video decolorization has wide application, such as in film industry. However, previous works on video decolorization focus on simply reusing the image decolorization method, which is time-consuming and may lose temporal coherence. This paper proposes a novel video decolorization method — defining decolorization proximity, regarded as a criterion to determine the specific method, to do the decolorization and further preserving temporal coherence well. Experimented with vast diverse color videos, the experiment result shows that our framework can provide high efficiency and effectively avoid visual flicker and incoherence. Copyright © 2016 ACM.
Original languageEnglish
Title of host publicationProceedings of the 33rd Computer Graphics International
Place of PublicationNew York
PublisherACM
Pages41-44
ISBN (Print)9781450341233
DOIs
Publication statusPublished - 2016

Citation

Tao, Y., Shen, Y., Sheng, B., Li, P., & Wu, E. (2016). Temporal coherent video decolorization using proximity optimization. In CGI '16 proceedings of the 33rd Computer Graphics International (pp. 41-44). New York: ACM.

Keywords

  • Video decolorazition
  • Decolorization proximity
  • Temporal coherence

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