Video inpainting algorithm using spatio-temporal consistency

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

doi:10.1117/12.805892

2 February 2009 Video inpainting algorithm using spatio-temporal consistency

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

Author Affiliations +

Proceedings Volume 7246, Computational Imaging VII; 72460N (2009) https://doi.org/10.1117/12.805892
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

A new video inpainting algorithm is proposed for removing unwanted or erroneous objects from video data. The proposed algorithm fills a mask region with source blocks from unmasked areas, while keeping spatio-temporal consistency. First, a 3-dimensional graph is constructed over consecutive frames. It defines a structure of nodes over which the source blocks are pasted. Then, we form temporal block bundles using the motion information. The best block bundles, which minimize an objective function, are arranged in the 3-dimensional graph. Extensive simulation results demonstrate that the proposed algorithm can yield visually pleasing video inpainting results even for dynamic sequences.

Citation Download Citation

Sang-Heon Lee, Soon-Young Lee, Jun-Hee Heu, Chang-Su Kim, and Sang-Uk Lee "Video inpainting algorithm using spatio-temporal consistency", Proc. SPIE 7246, Computational Imaging VII, 72460N (2 February 2009); https://doi.org/10.1117/12.805892

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