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  • 标题:Inpainting on Static Object of Video and Maintaining Spatial Secular Stability
  • 本地全文:下载
  • 作者:R. K. Sarawale ; Nitin L. Tajane ; Ashwini R. Makhare
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2015
  • 卷号:4
  • 期号:3
  • 页码:917-920
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Video inapinting is an important video improvement technique to reconstruct or make up the video. It has been utilized by world to convert damaged or missing videos into proper video. It includes two main important key static completion and frame completion. In static completion it recovers missing static information in damaged area to maintain good temporal continuity. Whereas in case of frame completion it repairs damaged frames to produce visually pleasing video with good spatial continuity and stabilize luminance. We can apply this algorithm on different types of video clips. This paper describes and it also provide an initial solution to a video editing task i.e. video inpainting. In this report, we propose an selective inpainting pipeline which can fundamentally increase the running of video inpainting from hundreds to thousands times faster than image inpainting, making the process applicable for practical usage. Most of video editing can be done manually but it takes more time to give output so time as well as money will be wasted. so to save money and time anyone can use such a algorithm which is very interesting and also helpful to save our money as well as time.
  • 关键词:Image enhancement; Static completion; ; Occlusion object; missing data; patch pasting; filling in; ; frames completion
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