Icicles

Localized Search for High Definition Video Completion

Jocelyn Benoit and Eric Paquette,
Journal of WSCG, 23 (1), pp. 45-54, 2015.

 

Abstract

This paper presents a new approach for video completion of high-resolution video sequences. Current state-of- the-art exemplar-based methods that use non-parametric patch sampling work well and provide good results for low-resolution video sequences. Unfortunately, because of memory consumption problems and long computation times, these methods handle only relatively low-resolution video sequences. This paper presents a video comple- tion method that can handle much higher resolutions than previous ones. First, to address the problem of long computation times, a dual inpainting-sampling filling-order completion method is proposed. The quality of our re- sults is then significantly improved by a second innovation introducing a coherence-based matches refinement that conducts intelligent and localized searches without relying on approximate searches or compressed data. Finally, with respect to the computation times and memory problems that prevent high-resolution video completion, the third innovation is a new localized search completion approach, which also uses uncompressed data and an exact search. Combined together, these three innovations make it possible to complete high-resolution video sequences, thus leading to a significant increase in resolution as compared to previous works.

Keywords

Video completion, high-resolution, object removal, patches coherence, localized search, multi-resolution

BibTeX entry

@Article{Benoit:2015:WSCG,
  author =       "Jocelyn Benoit and Eric Paquette",
  title =        "Localized Search for High Definition Video Completion",
  journal =      "Journal of WSCG",
  pages =        "45--54",
  volume =       23,
  number =       1,
  year =         "2015",
}

Online version

Adobe PDF version of the paper.

Additional material

Presentation.