Cheng-Shain Lin and Jyh-Jong Tsay
We conduct
experiments over several video sequences manipulated temporal copy-and-paste
[6] and exemplar-based texture synthesis [1] inpainting methods. Two data sets are used to test our approach. The first data set contains 11 test video sequences, which is
numbered 1-11, are captured using a Canon IXUS 750 digital video camera. The second data set contains 7 test video
sequences, which is numbered 12-18, are obtained from the PETS 2009 [38].
Video Number |
Detection results for temporal copy-and-paste inpainting |
Detection results for texture synthesis inpainting |
Description |
1
Frame size:
320×240 |
|
|
(a) Original video sequence.
(b) Removed regions.
(c) Inpainted video.
(d) Detection results.
|
2
Frame size:
320×240 |
|
|
(a) Original video sequence.
(b) Removed regions.
(c) Inpainted video.
(d) Detection results.
|
3
Frame size:
320×240 |
|
|
(a) Original video sequence.
(b) Removed regions.
(c) Inpainted video.
(d) Detection results.
|
4
Frame size:
320×240 |
|
|
(a) Original video sequence.
(b) Removed regions.
(c) Inpainted video.
(d) Detection results.
|
5
Frame size:
320×240 |
|
|
(a) Original video sequence.
(b) Removed regions.
(c) Inpainted video.
(d) Detection results.
|
6
Frame size:
320×240 |
|
|
(a) Original video sequence.
(b) Removed regions.
(c) Inpainted video.
(d) Detection results.
|
7
Frame size:
320×240 |
|
|
(a) Original video sequence with camera motion.
(b) Removed regions.
(c) Inpainted video.
(d) Detection results.
|
8
Frame size:
320×240 |
|
|
(a) Original video sequence with camera motion.
(b) Removed regions.
(c) Inpainted video.
(d) Detection results.
|
9
Frame size:
320×240 |
|
|
(a) Original video sequence with camera motion.
(b) Removed regions.
(c) Inpainted video.
(d) Detection results.
|
10
Frame size:
320×240 |
|
|
(a) Original video sequence with camera motion.
(b) Removed regions.
(c) Inpainted video.
(d) Detection results.
|
11
Frame size:
320×240 |
|
|
(a) Original video sequence with camera motion.
(b) Removed regions.
(c) Inpainted video.
(d) Detection results.
|
12
Frame size:
768×576 |
|
|
(a) Original video sequence.
(b) Removed regions.
(c) Inpainted video.
(d) Detection results.
|
13
Frame size:
768×576 |
|
|
(a) Original video sequence.
(b) Removed regions.
(c) Inpainted video.
(d) Detection results.
|
14
Frame size:
768×576 |
|
|
(a) Original video sequence.
(b) Removed regions.
(c) Inpainted video.
(d) Detection results.
|
15
Frame size:
720×576 |
|
|
(a) Original video sequence with multiple objects.
(b) Removed regions.
(c) Inpainted video.
(d) Detection results.
|
16
Frame size:
720×576 |
|
|
(a) Original video sequence with multiple objects.
(b) Removed regions.
(c) Inpainted video.
(d) Detection results.
|
17
Frame size:
720×576 |
|
|
(a) Original video sequence with multiple objects.
(b) Removed regions.
(c) Inpainted video.
(d) Detection results.
|
18
Frame size:
720×576 |
|
|
(a) Original video sequence with multiple objects.
(b) Removed regions.
(c) Inpainted video.
(d) Detection results.
|
[Matlab]
REFERENCES
[ 1 ] A. Criminisi, P. Perez,
and K. Toyama, “Region filling and object removal by exemplar-based image
inpainting,” IEEE Trans. on Image
Processing, vol. 13, no. 9, pp. 1200-1212, Sept. 2004.
[ 6 ] K. A. Patwardhan, G.
Sapiro, and M. Bertalmio, “Video inpainting under constrained camera motion,” IEEE Trans. on Image Processing, vol.
16, no. 2, pp. 545-553, Feb. 2007.
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