Details
| Original language | English |
|---|---|
| Pages | 139-147 |
| Number of pages | 9 |
| Publication status | Published - 19 Mar 2014 |
| Externally published | Yes |
| Event | 5th ACM Multimedia Systems Conference, MMSys 2014 - Singapore, Singapore Duration: 19 Mar 2014 → 21 Mar 2014 |
Conference
| Conference | 5th ACM Multimedia Systems Conference, MMSys 2014 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 19 Mar 2014 → 21 Mar 2014 |
Abstract
In this paper, we present a fast parallel algorithm for the retargeting of videos. It combines seam carving and cropping and is aimed for real-time adaptation of video streams. The basic idea is to first find an optimal cropping path over the whole sequence with the target size. Then, the borders are slightly extended to be reduced again by seam carving on a frame-by-frame basis. This allows the algorithm to get more important content into the cropping window as it is also able to remove pixels from within the window. In contrast to the previous SeamCrop algorithm, the presented technique is optimized for parallel processes and a CUDA GPU implementation. In comparison, the computation time of our GPU algorithm is 10:5 times faster (on a 960 × 540 video with a retarget factor of 25%) than the already efficient CPU implementation.
Keywords
- Cropping, GPU, Seam carving, SeamCrop, Video resizing, Video retargeting
ASJC Scopus subject areas
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
- Computer Science(all)
- Computer Vision and Pattern Recognition
- Computer Science(all)
- Human-Computer Interaction
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2014. 139-147 Paper presented at 5th ACM Multimedia Systems Conference, MMSys 2014, Singapore, Singapore.
Research output: Contribution to conference › Paper › Research › peer review
}
TY - CONF
T1 - GPU video retargeting with parallelized SeamCrop
AU - Kiess, Johannes
AU - Gritzner, Daniel
AU - Guthier, Benjamin
AU - Kopf, Stephan
AU - Effelsberg, Wolfgang
PY - 2014/3/19
Y1 - 2014/3/19
N2 - In this paper, we present a fast parallel algorithm for the retargeting of videos. It combines seam carving and cropping and is aimed for real-time adaptation of video streams. The basic idea is to first find an optimal cropping path over the whole sequence with the target size. Then, the borders are slightly extended to be reduced again by seam carving on a frame-by-frame basis. This allows the algorithm to get more important content into the cropping window as it is also able to remove pixels from within the window. In contrast to the previous SeamCrop algorithm, the presented technique is optimized for parallel processes and a CUDA GPU implementation. In comparison, the computation time of our GPU algorithm is 10:5 times faster (on a 960 × 540 video with a retarget factor of 25%) than the already efficient CPU implementation.
AB - In this paper, we present a fast parallel algorithm for the retargeting of videos. It combines seam carving and cropping and is aimed for real-time adaptation of video streams. The basic idea is to first find an optimal cropping path over the whole sequence with the target size. Then, the borders are slightly extended to be reduced again by seam carving on a frame-by-frame basis. This allows the algorithm to get more important content into the cropping window as it is also able to remove pixels from within the window. In contrast to the previous SeamCrop algorithm, the presented technique is optimized for parallel processes and a CUDA GPU implementation. In comparison, the computation time of our GPU algorithm is 10:5 times faster (on a 960 × 540 video with a retarget factor of 25%) than the already efficient CPU implementation.
KW - Cropping
KW - GPU
KW - Seam carving
KW - SeamCrop
KW - Video resizing
KW - Video retargeting
UR - http://www.scopus.com/inward/record.url?scp=84899008791&partnerID=8YFLogxK
U2 - 10.1145/2557642.2557648
DO - 10.1145/2557642.2557648
M3 - Paper
AN - SCOPUS:84899008791
SP - 139
EP - 147
T2 - 5th ACM Multimedia Systems Conference, MMSys 2014
Y2 - 19 March 2014 through 21 March 2014
ER -