Object removal and inpainting in multi-view video sequences

Soon Young Lee, Jun Hee Heu, Chang-Su Kim, Sang Uk Lee

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


An inpainting algorithm for multi-view video sequences, which fills in a mask area without visual artifacts, is proposed in this work. After a user specifies a mask area in a frame, the proposed algorithm clones it to the other frames in the input sequence using temporal and inter-view correlations. The proposed algorithm then selects sites along the mask boundary, over which source blocks are pasted. We develop a cost function, which measures the spatio-temporal consistency of an inpainted result, and minimize the cost function to select the best matching source blocks. Simulation results demonstrate that the proposed algorithm removes and inpaints objects within mask areas efficiently without causing blocking or flickering artifacts.

Original languageEnglish
Pages (from-to)1241-1255
Number of pages15
JournalInternational Journal of Innovative Computing, Information and Control
Issue number3
Publication statusPublished - 2010 Mar


  • Image inpainting
  • Multi-view video
  • Object removal
  • Video editing

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computational Theory and Mathematics


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