SIFT-guided multi-resolution video inpainting with innovative scheduling mechanism and irregular patch matching

Tien Ying Kuo, Po Chyi Su, Yun Ping Kuan

研究成果: 雜誌貢獻期刊論文同行評審

7 引文 斯高帕斯(Scopus)

摘要

Effective video inpainting that maintains both temporal and spatial continuity is required in many applications. This research presents a new video inpainting algorithm targeted at achieving a better tradeoff between visual quality and computational complexity. The inpainting regions in video frames are classified into two types, i.e., structure and smooth. A scheduling mechanism considering texture data amount, inpainting confidence and motion vector uniformity is proposed to determine an appropriate processing order of inpainting points. A novel patch comparison function to evaluate the similarity and an irregular patch-filling method are developed to ensure decent visual quality and faster inpainting speed. The ideas of multi-resolution processing and scale-invariant feature transform are further adopted such that larger inpainting areas can still be processed well. To evaluate the effectiveness of the proposed algorithm, inpainting on television programs and video clips from literature is tested. The experimental results demonstrate better performance when compared with traditional methods.

原文???core.languages.en_GB???
頁(從 - 到)95-109
頁數15
期刊Information Sciences
373
DOIs
出版狀態已出版 - 10 12月 2016

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