Abstract
Video inpainting is repairing the damage regions. Nowadays, video camera is usually used to record the visual memory in our life. When people recorded a video, some scenes (or some objects) which unwanted are presented in video sometimes, but it doesn’t record repeatedly based on some reasons. In order to solve this problem, in this paper, we propose a video inpainting method to effectively repair the damage regions based on the relationships of frames in temporal sequence and color variability in spatial domain. The procedures of the proposed method include adaptive background construction, removing the unwanted objects, and repairing the damage regions in temporal and spatial domains. Experimental results verify that our proposed method can obtain the good structure property and extremely reduce the computational time in inpainting.
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Huang, HY., Lin, CH. (2016). Video Inpainting in Spatial-Temporal Domain Based on Adaptive Background and Color Variance. In: Fujita, H., Ali, M., Selamat, A., Sasaki, J., Kurematsu, M. (eds) Trends in Applied Knowledge-Based Systems and Data Science. IEA/AIE 2016. Lecture Notes in Computer Science(), vol 9799. Springer, Cham. https://doi.org/10.1007/978-3-319-42007-3_55
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DOI: https://doi.org/10.1007/978-3-319-42007-3_55
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