relation: https://khub.utp.edu.my/scholars/3529/
title: Static object removal from video scene using local similarity
creator: Zarif, S.
creator: Faye, I.
creator: Rohaya, D.
description: 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.
date: 2013
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Zarif, S. and Faye, I. and Rohaya, D.  (2013) Static object removal from video scene using local similarity.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881033825&doi=10.1109%2fCSPA.2013.6530013&partnerID=40&md5=e526e6dfb905b316b057eb6311ab3e57
relation: 10.1109/CSPA.2013.6530013
identifier: 10.1109/CSPA.2013.6530013