Video colorization using parallel optimization in feature space

Bin Sheng, Hanqiu Sun, Marcus Magnor, Ping Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

30 Citations (Scopus)


We present a new scheme for video colorization using optimization in rotation-aware Gabor feature space. Most current methods of video colorization incur temporal artifacts and prohibitive processing costs, while this approach is designed in a spatiotemporal manner to preserve temporal coherence. The parallel implementation on graphics hardware is also facilitated to achieve realtime performance of color optimization. By adaptively clustering video frames and extending Gabor filtering to optical flow computation, we can achieve real-time color propagation within and between frames. Temporal coherence is further refined through user scribbles in video frames. The experimental results demonstrate that our proposed approach is efficient in producing high-quality colorized videos.

Original languageEnglish
Article number6575125
Pages (from-to)407-417
Number of pages11
JournalIEEE Transactions on Circuits and Systems for Video Technology
Issue number3
Publication statusPublished - Mar 2014
Externally publishedYes


  • Gabor feature space
  • parallel optimization
  • user strokes
  • video colorization

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering


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