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Blind Detection Method for Video Inpainting Forgery

by Sreelekshmi Das, Gopu Darsan, Shreyas L, Divya Devan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 60 - Number 11
Year of Publication: 2012
Authors: Sreelekshmi Das, Gopu Darsan, Shreyas L, Divya Devan
10.5120/9739-4290

Sreelekshmi Das, Gopu Darsan, Shreyas L, Divya Devan . Blind Detection Method for Video Inpainting Forgery. International Journal of Computer Applications. 60, 11 ( December 2012), 33-37. DOI=10.5120/9739-4290

@article{ 10.5120/9739-4290,
author = { Sreelekshmi Das, Gopu Darsan, Shreyas L, Divya Devan },
title = { Blind Detection Method for Video Inpainting Forgery },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 60 },
number = { 11 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 33-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume60/number11/9739-4290/ },
doi = { 10.5120/9739-4290 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:06:18.989869+05:30
%A Sreelekshmi Das
%A Gopu Darsan
%A Shreyas L
%A Divya Devan
%T Blind Detection Method for Video Inpainting Forgery
%J International Journal of Computer Applications
%@ 0975-8887
%V 60
%N 11
%P 33-37
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Video forgery , also referred as video falsifying, is a technique for generating fake videos by altering, combining or creating new video contents. Exemplar-based inpainting technique can be used to remove objects from an image/video and play visual tricks, which would affect the authenticity of videos. In this paper, a blind detection method based on zero-connectivity feature and fuzzy membership function is proposed to detect the video forgery. Firstly, the forged video is converted into frames, then zero-connectivity labelling is applied on block pairs to yield matching degree feature for all blocks in the forged region and construct ascending semi-trapezoid membership for computing fuzzy membership function. Finally, the tampered regions are identified using a cut set.

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Index Terms

Computer Science
Information Sciences

Keywords

Video forgery Exemplar-based inpainting Zero-connectivity labelling Fuzzy Membership cut set

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