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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jin-Hong Kim Rae-Hong Park Jino Lee |
| Copyright Year | 2011 |
| Description | Author affiliation: Sogang University, Korea (Jin-Hong Kim; Rae-Hong Park; Jino Lee) |
| Abstract | Video completion is used for repairing damaged or missing data in a video sequence. This paper proposes a video completion method using robust motion estimation and color compensation. The proposed method consists of three steps: motion estimation, source patch search, and color assignment. If an input video contains brightness change, existing video completion methods give poor results. For overcoming this drawback, we apply two methods: color normalization for motion estimation and source patch search, and color compensation for color assignment. In the first step, we estimate the motion using normalized input video. Then, we search the source patch using normalized color information and motion information extracted in the first step. Finally, color compensation using color transform is used for color assignment. Experimental results show that the proposed method gives better visual results than conventional video completion methods. |
| Starting Page | 529 |
| Ending Page | 530 |
| File Size | 274892 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781424487110 |
| ISSN | 21584001 |
| e-ISBN | 9781424487127 |
| DOI | 10.1109/ICCE.2011.5722721 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-01-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image color analysis Brightness Motion estimation Pixel Transforms Color Data mining |
| Content Type | Text |
| Resource Type | Article |
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