TY  - CONF
AV  - none
CY  - Kuala Lumpur
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881033825&doi=10.1109%2fCSPA.2013.6530013&partnerID=40&md5=e526e6dfb905b316b057eb6311ab3e57
N2  - Video completion is an active subject in video processing, which deals with the recovery of the damaged data. Reconstruction of damaged parts after object removal of digital video is an important trend in artwork restoration. Most previous video inpainting and completion approaches consume more time in extensive search to find the best patch to restore the damaged area. In addition to that, visual artifacts appear when the damaged area is large. In this paper, we present a fast and efficient video completion method to recover static damaged area without the extensive search process. The proposed method is based on frame local similarity and 3D hole filling. The proposed method maintains the spatial and temporal consistency. Moreover it reduces the completion time to few milliseconds. © 2013 IEEE.
SP  - 54
KW  - Artwork restoration; Image Inpainting; Local similarity; Object removal; Temporal consistency; Video completion; Video inpainting; Video processing
KW  -  Multimedia systems; Restoration
KW  -  Video signal processing
N1  - cited By 10; Conference of 2013 IEEE 9th International Colloquium on Signal Processing and its Applications, CSPA 2013 ; Conference Date: 8 March 2013 Through 10 March 2013; Conference Code:98042
EP  - 57
A1  - Zarif, S.
A1  - Faye, I.
A1  - Rohaya, D.
Y1  - 2013///
SN  - 9781467356091
TI  - Static object removal from video scene using local similarity
ID  - scholars3529
ER  -