Video inpainting by Markov Random Field Modeling and Gibbs Sampling

摘要：

　　Video inpainting is to recover the distorted pixels of the image sequences.In this paper,we use Gibbs distribution and Markov Random Field(MRF)modeling to solve this problem.We build MRF on the missing region of the image sequence conditioned on its neighborhood pixels that are undistorted.We recover the missing pixels by drawing samples from the MRF by Gibbs sampling.We collect a dataset to test the method.The experiments on the dataset with different types of missing pixels show that the method works well in both quantitative and qualitative aspects.

关键词： Gibbs distribution Gibbs sampling Markov randomm field video inpainting

作者: Xueyan Mei

作者单位: School of Professional Studies,Columbia University New York City,USA

会议类型: 国际会议

会议名称: 2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2017)(2017 IEEE 第2届先进信息技术、电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 2275-2278

在线出版日期: 2017-03-25（万方平台首次上网日期，不代表论文的发表时间）