Efficient object-based video inpainting

Sen Ching S. Cheung, Jian Zhao, M. Vijay Venkatesh

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

51 Scopus citations


Video inpainting describes the process of removing a portion of a video and filling in the missing part (hole) in a visually consistent manner. Most existing video in-painting techniques are computationally intensive and cannot handle large holes. In this paper, we propose a complete and efficient video inpainting system. Our system applies different strategies to handle static and dynamic portions of the hole. To inpaint the static portion, our system uses background replacement and image inpainting techniques. To inpaint moving objects in the hole, we utilizes background subtraction and object segmentation to extract a set of object templates and perform optimal object interpolation using dynamic programming. We evaluate the performance of our system based on a set of indoor surveillance sequences with different types of occlusions.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Number of pages4
StatePublished - 2006
Event2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States
Duration: Oct 8 2006Oct 11 2006

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880


Conference2006 IEEE International Conference on Image Processing, ICIP 2006
Country/TerritoryUnited States
CityAtlanta, GA

Bibliographical note

Funding Information:
The authors would like to acknowledge the support of Department of Justice under the Grant 2004-IJ-CK-K055.


  • Dynamic programming
  • Image segmentation
  • Interpolation
  • Tracking
  • Video signal processing

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing


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