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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shuai Yu Shungang Hua Xiaodong Fang |
| Copyright Year | 2010 |
| Description | Author affiliation: CAD & CG Lab. Dalian University of Technology, China (Shungang Hua) || School of Mechanical Engineering, Dalian University of Technology, 116024, China (Xiaodong Fang) || CAD & CG Lab. Dalian University of Technology, 116024, China (Shuai Yu) |
| Abstract | Graph Cuts theory has been widely applied in the fields of network flow analysis, computer vision, computer graphics, and so on. In this paper, we use an approach of Graph Cuts to realize image and video retargeting. We regard image retargeting as a problem of energy minimization, so we construct a residual and directed graph based on the gradient of pixel value to find the cut path with minimal energy. Using pre-flow push algorithm and breadth-first search (BFS) algorithm, we obtain a labeled graph which is saturated. According to the labeled graph, we can find the minimal cut path, which is removed to reduce one row or column of image. On the basis of image retargeting, we retarget a video by taking the relevance of frames in temporal into account. We consider the inserted energy due to new edges created by previously non adjacent pixels that become neighbors after the cut removing. Experiments show that our method is satisfactory in image and video retargeting in visual effect. |
| Starting Page | 334 |
| Ending Page | 339 |
| File Size | 393406 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424470471 |
| e-ISBN | 9781424470501 |
| DOI | 10.1109/ICICIP.2010.5565210 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-13 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Design automation Image color analysis Image edge detection Dynamic programming Mechanical engineering Pixel |
| Content Type | Text |
| Resource Type | Article |
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