DocumentCode :
2459186
Title :
A Rank Minimization Approach to Video Inpainting
Author :
Ding, Tao ; Sznaier, Mario ; Camps, Octavia I.
Author_Institution :
Pennsylvania State Univ., University Park
fYear :
2007
fDate :
14-21 Oct. 2007
Firstpage :
1
Lastpage :
8
Abstract :
This paper addresses the problem of video inpainting, that is seamlessly reconstructing missing portions in a set of video frames. We propose to solve this problem proceeding as follows: (i) finding a set of descriptors that encapsulate the information necessary to reconstruct a frame, (ii) finding an optimal estimate of the value of these descriptors for the missing/corrupted frames, and (iii) using the estimated values to reconstruct the frames. The main result of the paper shows that the optimal descriptor estimates can be efficiently obtained by minimizing the rank of a matrix directly constructed from the available data, leading to a simple, computationally attractive, dynamic inpainting algorithm that optimizes the use of spatio/temporal information. Moreover, contrary to most currently available techniques, the method can handle non-periodic target motions, non-stationary backgrounds and moving cameras. These results are illustrated with several examples, including reconstructing dynamic textures and object disocclusion in cases involving both moving targets and camera.
Keywords :
image motion analysis; image reconstruction; image sequences; matrix algebra; video signal processing; dynamic video inpainting algorithm; matrix rank minimization approach; nonperiodic target motion; optimal descriptor estimate; video frame reconstruction; Cameras; Heuristic algorithms; Image reconstruction; Image restoration; Iterative algorithms; Linear systems; Motion estimation; Target tracking; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on
Conference_Location :
Rio de Janeiro
ISSN :
1550-5499
Print_ISBN :
978-1-4244-1630-1
Electronic_ISBN :
1550-5499
Type :
conf
DOI :
10.1109/ICCV.2007.4408932
Filename :
4408932
Link To Document :
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